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Something was missing from the 2017 season: a quarterback who threw a lot of interceptions but also threw for a lot of yards. At a basic level, you might assume that these two statistics would be inversely related. After all, a bad quarterback would throw a lot of interceptions and not throw for a lot of yards, while a good quarterback shouldn’t throw many interceptions but should throw for a lot of yards.

But in a competitive environment, such absolutes rarely hold up. Some quarterbacks will have to be aggressive to be effective (high average yards per pass but also a high interception rate), while some will choose to be conservative (low average yards per pass but also a low interception rate). But in 2017, we missed that. For example:

  • Marcus Mariota ranked had the 4th worst (i.e., highest) interception rate and ranked 14th in net yards per attempt. By 2017 standards, that stands out as aggressive.
  • The quarterbacks who 5th-through-8th in interception rate all ranked below-average in net yards per attempt.  Again, these quarterbacks were not necessarily very aggressive, just not very good.
  • Ben Roethlisberger (12th worst interception rate, 7th best net yards per attempt average), Derek Carr (10th, 15th), Blake Bortles (14th, 12th), and Jameis Winston (13th, 8th) join Mariota as the only passers to rank in the bottom 15 in interception rate and top 15 in net yards per attempt.

Conversely, Tom Brady, Jared Goff, Drew Brees, and Alex Smith all had very low interception rates and very high net yards per attempt averages, with all four ranking in the top 7 of both metrics. Philip Rivers ranked 2nd in NY/A and 9th in interception rate. Case Keenum ranked 4th in interception rate and 10th in NY/A.

Really, the only two outliers when it came to great interception rates were Tyrod Taylor (1st in interception rate, 25th in NY/A) and Jacoby Brissett (tied for 6th in interception rate, 28th in NY/A).

The chart below shows the 32 qualifying passers in 2017. The Y-Axis displays net yards per attempt; the X-Axis displays interception rate.  You’ll notice a lack of any dots in the upper right section of the graph, which is where the very aggressive passers would go:

[continue reading…]

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2017 AP All-Pro Teams Announced

A few days ago, the AP announced the 2017 All-Pro teams. For the second year in a row, there was no fullback position, replaced by a “Flex” spot that can basically go to any running back, wide receiver, or tight end. This year, 38 of the 50 votes went to a running back, 8 went to a wide receiver, and 4 to a tight end. On both offense and defense there are 12 first-team All-Pros: on offense, it’s five offensive lineman, a quarterback, two running backs, two wide receivers, one flex, and one tight end. On defense, there are 2 first team edge rushers, 2 interior defenders, 3 linebackers, 2 cornerbacks, 2 safeties, and one defensive back.

The full list, below.

Offense

Quarterback

Tom Brady, New England, 47; Carson Wentz, Philadelphia, 2; Russell Wilson, Seattle, 1.

Running Backs

Todd Gurley, Los Angeles Rams, 46; Le’Veon Bell, Pittsburgh, 3; Kareem Hunt, Kansas City, 1.

Wide Receivers

Antonio Brown, Pittsburgh, 50; DeAndre Hopkins, Houston, 42; Julio Jones, Atlanta, 5; Adam Thielen, Minnesota, 3.

Flex

Le’Veon Bell, Pittsburgh, 26; Alvin Kamara, New Orleans, 9; Travis Kelce, Kansas City, 2; Kareem Hunt, Kansas City, 2; DeAndre Hopkins, Houston, 2; Julio Jones, Atlanta, 2; Rob Gronkowski, New England, 2; Jarvis Landry, Miami, 1; Tyreek Hill, Kansas City, 1; Keenan Allen, Los Angeles Chargers, 1; Todd Gurley, Los Angeles Rams, 1; Doug Baldwin, Seattle, 1.

Tight End

Rob Gronkowski, New England, 40; Travis Kelce, Kansas City, 10.

[continue reading…]

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Guest Post: Adam Steele on Quarterback MVP Shares

Adam Steele is back for another guest post. You can view all of Adam’s posts here. As always, we thank him for contributing.


In this post, I will attempt to estimate how many MVP awards each QB has “deserved” over the course of his career. I wanted to accomplish this task using very basic statistics, so the only inputs are pass attempts, passing yards, and TD passes. I can’t stress enough that this is aimed at providing rough estimates and not definitive answers.

Methodology

The metric I will use for this study is my own creation, Positive Yards Per Attempt (PY/A). I chose this over ANY/A for several reasons:

  • It is available back to the early days of the NFL, whereas ANY/A only goes back to 1969; I prefer to employ a uniform measurement for players of every era.
  • Sacks (invalid) and interceptions (unstable and invalid) are poor measures of QB performance, while Y/A and TD% are both statistically valid. (Proof)
  • If I used ANY/A, a number of unworthy seasons would appear MVP caliber due to fluky INT rates (looking at you, Damon Huard).
  • MVP voters typically focus on yards, TD passes, and wins (shame on them), but largely ignore interceptions and sacks.

With my justifications out of the way, let’s get to the actual formula:

  1. PY/A = (Passing Yards + TD Passes *20) / Attempts.
  2. Each QB season is compared to league average, giving us Relative PY/A (RPY/A). At this juncture, all seasons below +1 RPY/A are discarded, as I consider that the minimum baseline for a great season.
  3. I don’t want anyone receiving MVP Shares for lighting it in limited action (Todd Collins in 2007, for example), so I added a minimum threshold for attempts in a season. From 1978-present, the minimum is 300 attempts, and from 1950-1977 the minimum is 200 attempts. I purposely did not prorate 1982 and 1987 because I don’t think MVP awards in shortened seasons should be worth as much as full seasons.
  4. I excluded the AFL and AAFC because those leagues had watered down competition, and also because I’m lazy. Seasons before 1950 are excluded for the same reasons.
  5. I want to emphasize QB’s who play all or most of a season, which is accomplished by subtracting the minimum baseline from each QB’s attempts in a season. For example, a modern QB who attempts 525 passes in a given year will have his attempts adjusted down to 225 (525-300). This ensures that a QB who plays excellently over 2/3 of a season doesn’t get too much credit, but still gets some (such as Kurt Warner in 2000).
  6. RPY/A is multiplied by adjusted pass attempts to calculate MVP Value.
  7. League MVP Value is summed in each season, and each quarterback’s MVP Value is divided by the league total. This is his MVP Share. The divisor is capped at 500 and floored at 200, which results in some seasons producing more or less than one MVP Share. This last modifier was necessary due to vast discrepancies in yearly MVP Value totals, as I don’t want historically great seasons penalized too much for occurring within a loaded field (such as 2011 or 1976). The 68 seasons from 1950-2017 produced a grand total of 60.2 MVP Shares, which feels quite reasonable (we can pretend the other 7.8 MVP awards went to non-quarterbacks).

Here are the top 100 MVP Share seasons since 1950:

QuarterbackYearTeamAttYardsTDPY/ALgPY/ARPY/AMVPValMVPShare
Steve Young1994SFO46139693510.137.542.59256.01.00
Dan Marino1984MIA56450844810.727.972.75462.00.92
Steve Young1993SFO4624023299.967.402.56252.70.90
Peyton Manning2004IND49745574911.147.943.20433.40.87
Matt Ryan2016ATL53449443810.688.012.67390.80.85
Aaron Rodgers2011GNB50246434511.048.052.99402.00.80
Kurt Warner2001STL54648303610.167.542.62398.50.80
Boomer Esiason1988CIN38835722810.657.702.95171.60.77
Lynn Dickey1983GNB48444583210.538.042.49274.20.76
Y.A. Tittle1963NYG36731453610.538.621.9161.00.31
Tom Brady2007NWE57848065010.047.692.35375.30.75
Earl Morrall1968BAL31729092610.828.032.7930.40.11
Joe Namath1972NYJ3242816199.867.692.1728.10.14
Kurt Warner1999STL49943534110.377.542.83364.20.73
Peyton Manning2013DEN6595477559.988.001.98351.80.70
Brett Favre1995GNB5704413389.087.561.52140.40.70
Johnny Unitas1964BAL30528241910.508.182.326.60.03
Fran Tarkenton1967NYG3773088299.737.911.8263.10.30
Sonny Jurgensen1961PHI41637233210.498.571.92106.70.35
Steve Young1992SFO4023465259.867.632.23125.50.63
Philip Rivers2008SDG4784009349.817.722.09194.00.59
Ken Anderson1975CIN3773169219.527.522.0077.00.25
Bert Jones1976BAL34331042410.457.443.0186.40.17
Craig Morton1969DAL30226192110.067.962.102.20.01
Norm Van Brocklin1954RAM26026371311.148.292.85-74.0-0.37
Dan Fouts1985SDG4303638279.727.861.86111.80.56
Daunte Culpepper2004MIN54847173910.037.942.09270.30.54
Carson Palmer2015ARI53746713510.008.171.83196.70.54
Roger Staubach1973DAL28624282310.107.422.68-23.5-0.09
Ken Stabler1976OAK29127372711.267.443.82-25.4-0.05
Tom Brady2011NWE6115235399.848.051.79245.70.49
Drew Brees2011NOR6575476469.748.051.69246.30.49
Jim Kelly1991BUF4743844339.507.611.89154.90.49
Philip Rivers2010SDG5414710309.827.871.95229.00.48
Joe Montana1989SFO38635212610.477.952.52130.70.48
Boomer Esiason1986CIN4693959249.467.781.68114.90.47
Aaron Rodgers2014GNB5204381389.898.101.79173.80.47
Mark Rypien1991WAS4213564289.807.612.19144.00.45
Drew Brees2009NOR5144388349.867.812.05224.70.45
Peyton Manning2005IND4533747289.517.561.95145.40.45
Warren Moon1990HOU5844689339.167.841.3290.90.45
Terry Bradshaw1977PIT3142523179.127.281.8411.80.05
Johnny Unitas1965BAL28225302310.608.532.07-19.3-0.10
Vinny Testaverde1996BAL5494177338.817.461.3587.20.44
John Brodie1970SFO3782941249.057.561.4938.20.19
Brett Favre1997GNB5133867358.907.461.4493.70.43
Norm Van Brocklin1960PHI28424712410.398.242.15-18.4-0.08
Daunte Culpepper2000MIN4743937339.707.522.18205.30.41
Philip Rivers2009SDG4864254289.917.812.10204.60.41
Randall Cunningham1998MIN42537043410.327.692.63203.80.41
Jim Everett1989RAM5184310299.447.951.49106.80.39
Ken Stabler1974OAK3102469269.647.242.4014.00.03
Peyton Manning2012DEN5834659379.267.921.3496.20.38
Trent Green2002KAN4703690268.967.511.4576.50.38
Peyton Manning2006IND5574397319.017.641.3795.10.36
Tony Romo2014DAL43537053410.088.101.98132.30.36
Otto Graham1953CLE25827221111.407.473.93-123.1-0.26
Tony Romo2007DAL5204211369.487.691.79173.80.35
Milt Plum1960CLE25022972110.878.242.63-81.5-0.35
Drew Brees2008NOR6355069349.057.721.33110.60.34
Don Meredith1966DAL3442805249.557.811.7432.60.10
Johnny Unitas1957BAL30125502410.078.401.670.70.00
Y.A. Tittle1962NYG37532243310.368.981.3828.50.14
Steve Young1998SFO5174170369.467.691.77167.10.33
Dan Marino1986MIA6234746449.037.781.2580.80.33
Steve McNair2003TEN4003215249.247.421.8282.00.32
Terry Bradshaw1978PIT3682915289.447.501.9463.90.32
Ben Roethlisberger2009PIT5064328269.587.811.77158.60.32
Ken Anderson1974CIN3282667189.237.241.9927.70.07
Len Dawson1971KAN3012504159.327.531.790.80.00
Johnny Unitas1959BAL3672899329.648.291.3523.50.12
Greg Landry1971DET2612237169.807.532.27-49.5-0.19
Craig Morton1981DEN3763195219.617.851.7657.80.29
Norm Snead1967PHI4343399299.177.911.2634.80.16
Steve Young1997SFO3563029199.587.462.1262.70.29
Frank Ryan1966CLE3822974299.307.811.4940.20.13
Russell Wilson2015SEA4834024349.748.171.57104.30.28
Aaron Rodgers2012GNB5524295399.197.921.2768.00.27
Terry Bradshaw1979PIT4723724268.997.681.3153.30.27
Vince Ferragamo1980RAM4043199309.407.881.5254.10.27
Drew Brees2006NOR5544418268.917.641.2768.60.26
Steve Beuerlein1999CAR5714436369.037.541.49132.80.27
Norm Van Brocklin1950RAM23320611810.397.792.60-107.2-0.54
Jared Goff2017RAM4773804289.157.851.3053.10.27
Steve Grogan1979NWE4233286289.097.681.4150.40.25
Dan Fouts1978SDG3812999249.137.501.6351.00.26
Otto Graham1951CLE2652205179.607.841.76-26.6-0.13
Boomer Esiason1985CIN4313443279.247.861.3849.80.25
Roger Staubach1978DAL4133190258.937.501.4348.60.24
Bob Griese1977MIA3072252228.777.281.493.40.02
Kurt Warner2000STL34734292111.097.523.57120.80.24
Aaron Rodgers2009GNB5414434309.307.811.49118.10.24
Joe Ferguson1975BUF3212426259.127.521.6012.60.04
Fran Tarkenton1964MIN3062506229.638.181.452.70.01
Billy Wade1958RAM3412875189.498.161.3313.50.07
John Hadl1973RAM2582008229.497.422.07-44.9-0.17
Roger Staubach1979DAL4613586278.957.681.2743.50.22
Norm Van Brocklin1953RAM2862393199.707.472.23-17.2-0.04
Bobby Thomason1953PHI3042462219.487.472.014.00.01
Donovan McNabb2004PHI4693875319.587.941.64108.20.22

And now the MVP Share career list (the Seasons column represents the number of different seasons each QB received more than zero MVP Shares):

QuarterbackMVPShareSeasons
Peyton Manning3.5711
Steve Young3.156
Johnny Unitas2.146
Aaron Rodgers2.005
Drew Brees1.968
Tom Brady1.927
Brett Favre1.808
Kurt Warner1.794
Philip Rivers1.684
Boomer Esiason1.504
Norm Van Brocklin1.506
Dan Fouts1.446
Y.A. Tittle1.354
Ken Stabler1.305
Dan Marino1.293
Daunte Culpepper1.163
Terry Bradshaw1.165
Roger Staubach1.135
Tony Romo1.126
Ken Anderson1.105
Fran Tarkenton1.084
Craig Morton1.024
Carson Palmer0.864
Joe Montana0.853
Matt Ryan0.851
Lynn Dickey0.812
Joe Namath0.782
Jim Kelly0.773
Sonny Jurgensen0.762
Earl Morrall0.742
Trent Green0.744
Otto Graham0.734
Bob Griese0.715
Ben Roethlisberger0.645
John Brodie0.592
Bert Jones0.571
Jim Everett0.562
Vinny Testaverde0.542
Russell Wilson0.523
Don Meredith0.502
Greg Landry0.463
Mark Rypien0.451
Warren Moon0.451
Billy Wade0.432
Randall Cunningham0.411
Steve McNair0.382
Frank Ryan0.362
Milt Plum0.351
Donovan McNabb0.333
Steve Grogan0.313
Len Dawson0.301
Norm Snead0.291
John Hadl0.282
Steve Beuerlein0.282
Chris Chandler0.274
Vince Ferragamo0.271
Jared Goff0.261
Eli Manning0.252
Jeff George0.252
Bart Starr0.242
Joe Ferguson0.241
Bobby Layne0.233
Matt Schaub0.232
Bill Nelson0.222
Bobby Thomason0.221
Chad Pennington0.201
Alex Smith0.181
George Ratterman0.171
Jake Delhomme0.171
Tommy Kramer0.171
Matt Hasselbeck0.162
Bob Berry0.142
Jay Schroeder0.141
Joe Theismann0.141
Neil Lomax0.141
Andy Dalton0.131
Ken O'Brien0.121
Rudy Bukich0.121
Jeff Garcia0.111
Ron Jaworski0.111
Carson Wentz0.101
Charley Johnson0.101
Danny White0.091
Robert Griffin0.091
Steve Bartkowski0.091
Troy Aikman0.091
Mark Brunell0.081
Wade Wilson0.071
Chris Miller0.061
Elvis Grbac0.061
Matthew Stafford0.061
Michael Vick0.061
Mike Livingston0.061
Nick Foles0.061
Billy Kilmer0.052
Brian Griese0.052
Jim Harbaugh0.051
John Elway0.051
Adrian Burk0.041
Bobby Hebert0.041
Brad Johnson0.041
Dave Krieg0.042
Marc Bulger0.041
Richard Todd0.041
Bernie Kosar0.031
Jim Hart0.031
Tommy Maddox0.031
Bob Lee0.021
David Garrard0.011
Doug Flutie0.011
Steve Spurrier0.011
Jeff Hostetler0.001

I’ll leave the commentary up to you guys!

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The Philadelphia Eagles are the #1 seed in the NFC, and they got there despite nearly half of their team’s starts coming from players who were on other teams. Of the 352 starts (16 * 22) for the team this season, 166 came from players who are not lifelong Eagles. Eighteen players had 11+ starts for Philadelphia, with half of those players not being homegrown. Note: All players in today’s post are included if they played a single game for a team this year or in prior years, regardless of whether or not they are no longer on that team (in say, the case of Adrian Peterson). Call this the lazy way out. [continue reading…]

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This duo took the NFC by storm in 2011.

We know that, in general, home teams are favorites in the postseason. But home teams are almost always the favorites in the division round, because those teams are coming off of a bye. In the wild card round, it’s not unusual to see road teams favored: that didn’t happen this year, but it’s easy to see why bad division winner can be an underdog against the best wild card team. It’s happened 20 times since 1990, and in 2015, three of the four home teams were underdogs in the wild card round, and the fourth was a one-point favorite. And all four home teams lost.

The conference championship game features, in theory, the two best teams in the conference; it’s not hard to understand that sometimes, the best team isn’t the #1 seed, and they can wind up being road favorites. It’s happened eight times since 1990, mostly recently two seasons ago. The Broncos were home underdogs to the Patriots in the 2015 AFCCG and won; New England was the better team on paper but lost a H2H tiebreaker for the 1 seed. The Falcons were home dogs in the 2012 AFCCG to the 49ers and lost; San Francisco was 4 points better in the SRS than Atlanta that year, but the Falcons won the 1 seed because they had a much easier schedule than the 49ers and outperformed their Pythagorean win total. The Packers might have been the best team in the NFC in 2010, but lost the NFC North by one game to the Bears; Green Bay won the Super Bowl and was a road favorite in the 2010 NFCCG in Chicago. In short, it happens.

But what rarely happens is seeing a top two seed coming off of a bye be a home dog. In fact, since the NFL expanded to 6 playoff teams per conference in 1990 and instituted byes for the top two seeds, it’s happened just three other times. [continue reading…]

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Dan Quinn and the Atlanta Falcons pulled off a big upset on Wild Card weekend, winning 26-13 in Los Angeles against the heavily favored Rams. The win was driven in large part by special teams: Atlanta picked up 40 yards of field position on punts, Falcons kicker Matt Bryant was 4/4 on field goals, including from 51 and 54 yards away, and the Rams lost two fumbles on special teams, with one muff and one fumble by Pro Bowler Pharoh Cooper.

Special teams was the story of the game, but the narrative nearly shifted to a monumental mistake by Quinn.  With just under 6 minutes left in the game, the Falcons scored a touchdown to take a 25-13 lead.  Up by 12 with 5:54 remaining, going for 2 is the obvious choice. The difference between a 12-point lead and a 13-point lead with 6 minutes left isn’t much; meanwhile, the difference between a 13-point lead and a 14-point lead is huge.  The Rams were very unlikely to have three possessions left and to tie the game with a touchdown and two field goals, but a Los Angeles touchdown, followed by a stop, followed by another Rams TD was certainly on the table.  That would win the game if the Rams were down 12 or 13, but only force overtime if the Rams were down by 14.

Yet, remarkably, Quinn chose to kick the extra point.  Since the start of the 2012 season, there had been 12 instances where a team scored a touchdown to take a 12-point lead with less than 7 minutes left in the game.  Even overly conservative coaches mostly got this right: they went for two in 9 of 12 cases.

The three exceptions were notable:

In week 2 of the 2016 season, the Jets took a 36-24 lead over the Bills with just over four minutes remaining.  I tweeted that the Jets needed to go for 2 after scoring, was incredulous after they did not, and then hoped the Jets media would ask Bowles about it after the game. It turns out that they did, and Bowles admitted making a mistake.

Bowles on Friday said he “should’ve” gone for two in this spot. Why didn’t he?

“I was occupied doing something with the defense,” he said. “When I turned around and looked at it, that was my bust. I’ll be better going forward.”

Another example came in 2013, when (at the time) everyone’s favorite coach, Chuck Pagano, pulled off a big upset but made this same mistake.  I wrote about that at the time, too:

I can’t believe I’m writing this article. Everyone loves Chuck Pagano, but he made a pretty embarrassing blunder at the end of the Colts upset win in San Francisco on Sunday. The Colts led 13-7 when Andrew Luck scrambled for a six yard touchdown on 3rd-and-3 with just over four minutes left in the fourth quarter. Incredibly, Pagano then chose to kick the extra point, which my buddy and Colts fan Nate Dunlevy identified immediately as a terrible decision.

I wasn’t going to write a post about that decision, because, ya know, what could be more obvious than going for two when up by 12 points with just over four minutes left in the game? I mean, Jason Garrett got this right in the season opener. Being up by 14 points means two touchdowns doesn’t beat you, while there is almost no difference between being up 12 or being up 13 points.

The final example involved the Browns in a 37-24 win over Buffalo.  Cleveland recorded a pick six with just under two minutes left to take a 36-24 lead.  Maybe Rob Chudzinski was so surprised by the score that he simply made a brainfart the way Bowles did.  In some ways, the mistake was minimized, because the odds of the other team scoring two touchdowns in less than two minutes are much lower than two touchdowns in six minutes.  On the other hand, there’s literally no justification at all for not going for two in that case, because the opponent can’t have three possessions. [continue reading…]

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With the 2017 season in the books, I wanted to review the top offenses and defenses from the regular season. Today we will look at how each team did in the four major categories: passing offense, rushing offense, passing defense, and rushing defense.

Passing Offense

The base stat we use to measure passing offenses is Adjusted Net Yards per Attempt, but if we want to be even more precise, we should incorporate first downs. As a result, the formula is:

(Passing Yards (net of sack yards lost) + Passing Touchdowns * 11 + First Downs * 9 – Interceptions * 45) divided by (Attempts + Sacks)

In the table below, we are using team passing yards, which already deducts sack yards lost. And since every touchdown is automatically a first down, this means that all touchdowns are worth 20 adjusted yards. But to not make them worth 29 yards, we have to only credit each touchdown with 11 yards.

Drew Brees and the Saints had the top passing offense by this measure, although the Patriots and Chargers passing attacks weren’t far behind. The Browns were, by a large margin, the worst passing offense in the NFL, with the Broncos and Packers joining them in the bottom three. [continue reading…]

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Keenum and Thielen are an unlikely pair driving the best team in the NFC.

This year’s Super Bowl will be played in Minneapolis, Minnesota at U.S. Bank Stadium, the second-year facility that hosts the Minnesota Vikings during the regular season. That game will be the 52nd Super Bowl, and 44 of the first 51 were played at the home stadium of an AFL or NFL team.

First, let’s look at the seven — well, really three- exceptions where the game was played at a non-NFL/AFL site. In two of the three cases, a home region team has made it to that Super Bowl.

  • The Oilers played at Rice Stadium for their first three seasons before moving to the Astrodome. Super Bowl VIII, featuring the Dolphins and Vikings, was award to Houston and Rice Stadium (likely over the Astrodome because of the larger seating capacity). The Oilers went 1-13 that season.
  • The Super Bowl concluding the 1979 season was played at the Rose Bowl, which has been the site for 5 Super Bowls.  That year, the Los Angeles Rams won the NFC. The Rams played home games at the Coliseum, a mere 25 minutes from the Rose Bowl.
  • Park in San Francisco.

  • Five years later, the 49ers — who played home games at Candlestick Park — won the NFC.  That year, the Super Bowl was played at Stanford Stadium in Palo Alto, the only other non-NFL venue to host a Super Bowl.  Stanford Stadium is just 30 miles from Candlestick Park in San Francisco.

In the other 44 instances prior to 2017, the host team (or teams, in the case of the Jets and Giants with regards to Super Bowl XLVIII) failed to make the postseason in 37 times. That leaves 7, and now 8, instances where the team that hosted the Super Bowl also made the postseason. Let’s review, in descending order of likelihood of making that year’s Super Bowl.

#8: 2016 Houston Texans (Super Bowl LI played at NRG Stadium)

The Houston Texans made the playoffs last season, but the 9-7 Texans had a points differential of a 6.5-win team. Brock Osweiler and the Texans actually won their first playoff game, but it came against a Raiders team down Derek Carr and starting third string QB and rookie Connor Cook.  Houston lost as 16-point underdogs to New England in the Divisional Round, and was never a real Super Bowl threat.

#7: 1998 Miami Dolphins (Super Bowl XXXIII played at Pro Player Stadium)

The ’98 Dolphins went 10-6, but were never viable contenders for the Super Bowl. Miami lost the AFC East to the Jets and played in a conference with the eventual Super Bowl champion Broncos.  But Miami still had Dan Marino and young versions of Jason Taylor, Zach Thomas, and Sam Madison. After beating the Bills in the Wild Card round by stopping Buffalo on a last-minute goal-line stand, the Dolphins were trounced the following week in Denver, 38-3.

#6: 2000 Tampa Bay Buccaneers (Super Bowl XXXV played at Raymond James Stadium)

Tampa Bay made it to the NFC Championship Game the prior year, and went 10-6 in 2000 behind Shaun King and, more importantly, a dominant pass defense.  The Bucs made the playoffs as a Wild Card entrant, and had to travel to Philadelphia in the first round.  Playing in brutal weather with 11 degree wind chill, Tampa Bay was held to 199 yards and 3 points in a loss.

#5: 1994 Miami Dolphins (Super Bowl XXIX played at Joe Robbie Stadium)

The Dolphins won the AFC East and then beat Joe Montana and the Chiefs in the first round of the AFC playoffs. In the Divisional Round, the Dolphins went to San Diego to face an upstart Chargers team… and nearly blew San Diego out of the stadium. Miami took a 21-6 lead into the locker room, but the Chargers slowly chipped away at the lead.  San Diego threw a go-ahead touchdown in the final minute to complete the comeback and take a 22-21 lead.  A late pass interference penalty set Miami up for a 48-yard field goal and the win, but Pete Stoyanovich’s try was wide right, ending Miami’s season.

#4: 2014 Arizona Cardinals (Super Bowl XLIX played at University of Phoenix Stadium)

The Cardinals started the season 9-1, including a 6-0 mark under Carson Palmer. But Palmer tore his ACL against the Rams, turning the job over to Drew Stanton… who went 5-3 as a starter before suffering his own knee injury.  Arizona was a legitimate Super Bowl contender with Palmer and had a chance to win the #1 seed in the NFC and host all of their playoff games — including a potential Super Bowl.  But Ryan Lindley started the team’s Wild Card game against the Panthers, had one of the worst passing games in postseason history, and Arizona was one and done in the playoffs.

#3: 1978 Miami Dolphins (Super Bowl XIII played at the Orange Bowl)

The 1978 Dolphins went 11-5 and were one of just three teams (Pittsburgh, Dallas) to outscore their opponents by 100 points during the regular season.  Miami had the fewest giveaways in the NFL (30) and led the NFL with 53 takeaways. The Dolphins had a dominant interior line (Bob Kuechenberg, Jim Langer, Larry Little), an all-pro running back in Delvin Williams, and QB Bob Griese led the NFL in completion percentage and made the Pro Bowl.

The Dolphins were 6.5-point road favorites in Houston in the Wild Card round.  In the regular season, a rookie Earl Campbell arrived on the national scene with 199 yards and 4 touchdowns in a 35-30 Monday Night football win in Miami. The playoff game was much lower scoring: the teams were tied at seven apiece heading into the fourth quarter, but the Oilers ultimately won, 17-9. Houston outgained Miami 455-209, and the Dolphins turnover luck ran out: Miami committed five turnovers, and had just one takeaway in the loss.

#2: 1970 Miami Dolphins (Super Bowl V played at the Orange Bowl)

The 1970 Dolphins were the baby version of the perfect team that went 17-0 two years later. Griese, Larry Csonka, Mercury Morris, and Jim Kiick were all in Miami and 25 years or younger. Wide receiver Paul Warfield was also in town, and in the prime of his playing career.  Miami went 10-4 but finished the season on a 6-game winning streak, including a 34-17 win over Johnny Unitas and the eventual Super Bowl champion Colts.

In the Divisional Round of the playoffs, the Dolphins traveled to Oakland to face the Raiders.  Miami was burned by two big plays: Willie Brown had a 50-yard pick six to give Oakland a 14-7 lead in the third quarter, and Daryle Lamonica hit Rod Sherman for an 82-yard bomb early in the fourth. The Dolphins responded with a touchdown drive, but trailing 21-14, Miami’s two-minute drill ended — and Super Bowl hopes — ended on downs.

#1: 2017 Minnesota Vikings (Super Bowl LII played at U.S. Bank Stadium)

The Vikings finished the regular season 13-3 and have earned a playoff bye and the #2 seed in the NFC.  With #1 seed Philadelphia’s starting quarterback Carson Wentz out for the rest of the season, the Vikings are the clear conference favorites according to Vegas to make it to the Super Bowl. Minnesota ranked 4th in DVOA, and Football Outsiders give the Vikings a 30% chance of making the Super Bowl, the highest of any NFC team. And if the Eagles lose in the Divisional Round, Minnesota won’t leave the state at all during the postseason.

Minnesota allowed just 252 points this year, the fewest in the NFL. DE Everson Griffen, OLB Anthony Barr, and CB Xavier Rhodes made the Pro Bowl; safety Harrison Smith had 5 interceptions and is the #1 safety in the NFL according to Pro Football Focus.  The Vikings have stars at every level of the defense, and are equally dominant against both the run and the pass.

On offense, Minnesota is short on name power but undrafted stars Case Keenum and Adam Thielen lead en efficient and productive attack. Minnesota has beaten the NFC West (Rams) and NFC South (Saints) champions this year, and the Vikings are 7-1 at U.S. Bank Stadium this year. The Vikings have as good a chance as any team has ever had to not only play in, but win, the Super Bowl in their home stadium.

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Post Your 2017 Playoff Predictions

Post your playoff predictions in the comments. Here are mine:

Wild Card Round

Tennessee @ Kansas City

The AFC South has sent the Colts or Texans to the playoffs each year since 2008; this year, the other two AFC South teams are going to the playoffs.  Unfortunately for Tennessee, it’s hard to find much to like about the Titans.

The Chiefs destroyed, in Houston, a better AFC South opponent on the road in this exact slot (first playoff game) two years ago. Marcus Mariota and Alex Smith both finished the year 9-6, but that’s about all they had in common.

The Chiefs biggest vulnerability is their pass defense, but that’s not something Tennessee is likely to exploit. Four months ago, Eric Decker and Corey Davis were supposed to transform the Titans passing game, but that hasn’t happened yet.  The duo had their best games of the season two weeks ago (combining for 12 receptions and 164 yards), and Tennessee will need something similar to upset the Chiefs.

In 2016, Tennessee beat the Chiefs on a last-second field goal, in a game where Smith was held to a 56.1 passer rating. If the Titans do that again, they’d be the favorites, but that’s unlikely to happen.

Prediction: Kansas City 31, Tennessee 23

[continue reading…]

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As regular readers know, Football Perspective created a draft value chart that mirrors the actual average production by players selected for each draft pick.

In 2015, Cleveland had the most draft value as measured by the Football Perspective Draft Value Chart with 68.4 points. In theory, that could have set the Browns and 2nd-year GM Ray Farmer up for long-term success.  Instead? The Browns mostly missed on those picks.

Misc Passing Rushing Receiving
Rnd Player Pick Pos Yrs From To AP1 PB St CarAV G Cmp Att Yds TD Int Att Yds TD Rec Yds TD College/Univ
1 Danny Shelton 12 NT 3 2015 2017 0 0 3 12 45 Washington
1 Cameron Erving 19 C 3 2015 2017 0 0 1 7 41 0 0 0 Florida St.
2 Nate Orchard 51 DE 3 2015 2017 0 0 1 5 33 Utah
3 Duke Johnson 77 RB 3 2015 2017 0 0 0 10 47 0 1 0 0 0 253 1065 4 182 1666 5 Miami (FL)
3 Xavier Cooper 96 DT 3 2015 2017 0 0 0 3 38 Washington St.
4 Ibraheim Campbell 115 SS 3 2015 2017 0 0 0 4 37 Northwestern
4 Vince Mayle 123 WR 3 2015 2017 0 0 0 0 22 2 2 1 0 0 0 Washington St.
6 Charles Gaines 189 CB 1 2015 2015 0 0 0 1 6 Louisville
6 Malcolm Johnson 195 TE 2 2015 2016 0 0 0 0 19 1 2 0 9 59 0 Mississippi St.
6 Randall Telfer 198 TE 2 2016 2017 0 0 1 0 29 5 40 0 USC
7 Hayes Pullard 219 ILB 3 2015 2017 0 0 0 2 36 USC
7 Ifo Ekpre-Olomu 241 CB 0 0 0 Oregon

Shelton saw the field on 44% of Browns defensive snaps this season, Erving is now in Kansas City, and Orchard has just 5 sacks in three seasons.  Johnson has been a very good 3rd round pick, but Cooper is now off the team, and none of the players drafted in the 4th through 7th rounds have made any material impact.  In short, it was a disappointing draft (and this was after an extraordinarly disappointing draft in 2014 that saw the Browns and Farmer select Justin Gilbert and Johnny Manziel in the first round.

In 2016, the Browns and new GM Sashi Brown had even more draft capital: 75.3 points, again the most in the NFL. The early returns are mixed:

Misc Passing Rushing Receiving
Rnd Player Pick Pos Yrs From To AP1 PB St CarAV G Cmp Att Yds TD Int Att Yds TD Rec Yds TD College/Univ
1 Corey Coleman 15 WR 2 2016 2017 0 0 1 3 19 2 10 0 55 700 5 Baylor
2 Emmanuel Ogbah 32 DE 2 2016 2017 0 0 2 7 26 Oklahoma St.
3 Carl Nassib 65 DE 2 2016 2017 0 0 1 2 29 Penn St.
3 Shon Coleman 76 T 2 2016 2017 0 0 1 0 21 Auburn
3 Cody Kessler 93 QB 2 2016 2017 0 0 1 3 13 139 218 1506 6 3 12 17 0 USC
4 Joe Schobert 99 OLB 2 2016 2017 0 0 1 2 31 Wisconsin
4 Ricardo Louis 114 WR 2 2016 2017 0 0 1 1 31 45 562 0 Auburn
4 Derrick Kindred 129 FS 2 2016 2017 0 0 1 2 26 TCU
4 Seth Devalve 138 TE 2 2016 2017 0 0 0 1 27 43 522 3 Princeton
5 Jordan Payton 154 WR 1 2016 2016 0 0 0 0 4 1 3 0 UCLA
5 Spencer Drango 168 G 2 2016 2017 0 0 2 4 31 Baylor
5 Rashard Higgins 172 WR 2 2016 2017 0 0 0 0 30 1 4 0 30 321 0 Colorado St.
5 Trey Caldwell 173 DB 1 2016 2016 0 0 0 0 1 La-Monroe
7 Scooby Wright 250 ILB 2 2016 2017 0 0 0 0 12 Arizona

Coleman has been a disappointment through two seasons, and sealed the team’s 0-16 fate by dropping an easy first down catch on 4th-and-2 on the Browns final drive. He has just 56 receptions in two years. Ogbah flashed as a rookie, but missed most of the second half of the 2017 season as a rookie: between him and Nassib (8 quarterback hits and 3 sacks while playing about 60% of the team’s snaps), the Browns probably have at least one solid pass rusher.  Coleman and Drango have turned into starters on the line, and Schobert played every snap for the Browns on defense this season, but how much is there to be said for being a starter on an 0-16 team? Schobert, perhaps unsurprisingly, led all defensive players in both tackles (58) and assists (41) on run plays, but he had just three tackles for a loss. The skill position players, including Kessler, have not panned out through two seasons.

Then, in 2017, the Browns led the NFL with a whopping 86.9 points of draft value!  The Saints were second with 63.5 points, showing the massive margin the Browns had on the rest of the NFL.

 
Misc Passing Rushing Receiving
Rnd Player Pick Pos Yrs From To AP1 PB St CarAV G Cmp Att Yds TD Int Att Yds TD Rec Yds TD College/Univ
1 Myles Garrett 1 DE 1 2017 2017 0 0 1 0 11 Texas A&M
1 Jabrill Peppers 25 S 1 2017 2017 0 0 1 0 13 Michigan
1 David Njoku 29 TE 1 2017 2017 0 0 0 0 16 1 1 0 32 386 4 Miami (FL)
2 DeShone Kizer 52 QB 1 2017 2017 0 0 1 0 15 255 476 2894 11 22 77 419 5 Notre Dame
3 Larry Ogunjobi 65 DT 1 2017 2017 0 0 0 0 14 Charlotte
4 Howard Wilson 126 CB 0 0 0 Houston
5 Roderick Johnson 160 T 0 0 0 Florida St.
6 Caleb Brantley 185 DT 1 2017 2017 0 0 0 0 12 Florida
7 Zane Gonzalez 224 K 1 2017 2017 0 0 1 0 16 Arizona St.
7 Matthew Dayes 252 RB 1 2017 2017 0 0 0 0 16 5 13 0 4 29 0 North Carolina St.

It’s hard to grade the 2017 class, but again… 0-16 doesn’t help matters. Garrett had 7.0 sacks and 18 quarterback hits despite playing on just 48% of all Browns snaps; he looks like the real deal, and there’s every expectation that he will turn into a consistent double digit sack player. Peppers was on the field for 75% of snaps, and Njoku flashed the athleticism that made him a first round pick.  Those three still have bright potential.  Kizer? Well, he was a disaster, but Jared Goff showed us that a bad rookie season doesn’t necessarily mean much for how year two will go (of course, it seems likely that Kizer won’t be the team’s starter in 2018).

But guess what: the Browns aren’t just back at it for a fourth year in a row and with a third GM in John Dorsey. If this was a movie, the 2018 Draft would be The Browns and The Draft Part IV: This Time More Brownsier. The Jets have the 2nd most draft value of any team this year, thanks to the 6th overall pick and an extra 2nd round pick from Seattle as part of the Sheldon Richardson trade.  The Jets have 66 points of draft value, and the Giants (who own the 2nd overall pick) have 62.5 points.

The Browns have a projected 119.9 points of draft value.

***One Hundred And Nineteen Point Nine Points.***

Cleveland owns the 1st, 4th (from the Deshaun Watson trade), 33rd, 35th (Brock Osweiler trade), a late 2nd (~63rd overall) from the Eagles as part of the Carson Wentz trade, and the 65th picks in the 2018 Draft.  By virtue of having the 1st pick in every round, and top-5 picks in the 1st and 2nd rounds from the Texans, along with Carolina’s 4th round pick, and Pittsburgh’s 6th round pick, the Browns are absolutely loaded with 2018 Draft Capital — just like we knew they would be. But when I wrote that article, I didn’t realize (1) the Browns would have the first pick every round, and (2) the two Houston picks would be top four picks in the first two rounds.  So as rosy as the outlook was before, it’s even more remarkable now.

Cleveland is going to be the first team since the 2000 Jets with four picks in the first 40 selections.  The Browns, if they keep their selections, would become just the sixth team since the common draft (1967) with two top-5 picks:

  • Buffalo drafted Tom Cousineau (who never played for the team) with the first pick in the 1979 Draft (received from San Francisco in the O.J. Simpson trade), and then WR Jerry Butler with the fifth pick that same year.
  • In 1982, the Baltimore Colts drafted LB Johnnie Cooks with the 2nd overall pick, and then QB Art Schlichter with the fourth pick (from the Rams in the Bert Jones trade).
  • Ten years later, the now Indianapolis Colts had the first two picks in the Draft (from Tampa Bay in the Chris Chandler trade), and chose Washington DE Steve Emtman and Texas A&M LB Quentin Coryatt.
  • In 1994, the Indianapolis Colts yet again had two top five picks, drafting RB Marshall Faulk with the second overall pick and then Nebraska LB Trev Alberts with the fifth pick (the Colts acquired the 7th pick from the Falcons as part of the Jeff George trade, and then sent a third round pick to the Rams to move up from 7 to 5)
  • In 2000, the Redskins had the second and third picks and selected Penn State LB LaVar Arrington and Alabama T Chris Samuels. The Arrington pick was part of the Ricky Williams trade, while Samuels was a tradeup involving Washington’s original 24th pick plus the 12th pick they received from the Panthers for Sean Gilbert).

In terms of overall draft value, the Browns are at near-record proportions.  As a technical matter, the final draft value will depend on where the Eagles, Steelers, and Panthers, but for now, we can get a pretty close estimate.  Assuming no trades (unlikely), the Browns will become just the 15th team since 1967 with at least 100 points of value according to the Football Perspective chart.  Even more impressive: the Browns 119.9 point haul would rank as the third best ever.

RkTeamYearValue
1Cowboys1991132.2
2Bengals1968121.4
3Browns2018119.9
4Patriots1982118.6
5Bills1979115.7
6Rams1975114.2
7Bills1985113.9
8Seahawks1976107.7
9Colts1982107.3
10Buccaneers1987106
11Bengals1977105.7
12Vikings1967104.7
13Colts1974100.7
14Colts1992100.3

On one hand, it’s easy to just say the Browns will mess this up. On the other, Dorsey is so well-positioned to turn things around that the expectation for Cleveland should be to make the playoffs by 2019, and be competitive this season. Cleveland has a historically high level of draft capital, over 100 million dollars of free agent money available, and has one of the youngest teams in the NFL. And while the Browns were 0-16 in 2017, the team had 3.3 Pythagorean wins against a neutral schedule. Dorsey has the ability to turn things around very quickly… just like all Browns GMs before him.

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Checkdowns: 2017 League Leaders

With the 2017 season in the books, let’s run down the players who history will remember as the leaders in various key metrics. Yesterday we looked at the passing numbers from 2017, so let’s focus on other individual stats today.

Running Backs

Carries

Le’Veon Bell led the NFL with 321 carries; LeSean McCoy was second with 287 carries. Bell had 21.4 rushing attempts per game, but it was Ezekiel Elliott who led the NFL with 24.2 carries per game. In the last 10 years, only twice has a running back had at least 24 carries per game: Elliott in 2017 and his predecessor in Dallas, DeMarco Murray in 2014.

Rushing Yards

Both Todd Gurley (1,305 rushing yards) and Le’Veon Bell (1,291) sat out the final week of the season, which allowed Kansas City’s Kareem Hunt to win the rushing title with 1,327 yards. A stat that may only interest me: this marks the end of a five-season streak where an NFC RB had won the rushing crown; the last AFC RB before Hunt to do it was Maurice Jones-Drew.  And the last non-AFC South RB to do it before Hunt? LaDainian Tomlinson.

Courtesy of a six-game suspension, Elliott was limited to just 10 games this year, but he did lead the NFL in rushing yards per game with 98.3.  Hunt was fourth with 82.9.

Rushing Touchdowns

Los Angeles RB Todd Gurley led the NFL with 13 rushing touchdowns; Saints RB Mark Ingram had 12, and no other player hit double digits.

Yards per Carry

Kamara was not easy to bring down in 2017.

Saints rookie Alvin Kamara finished with a 6.07 yards per carry average, easily the most in the NFL. Among non-QBs, Patriots RB Dion Lewis was second at 4.98. Kamara is just the 9th running back to average 6.00 yards per carry on 100+ carries in a season since the merger. Here’s the full list.

First Downs

Le’Veon Bell led all rushers with 74 rushing first downs. Gurley was second with 66.

Long Runs

Kareem Hunt and LeSean McCoy tied for the lead with 12 carries of 20+ yards. Jets running back Bilal Powell led all players with 4 carries of 40+ yards.

Fumbles

Gurley led all running backs with five fumbles. Dion Lewis (180) and Powell (178) had the most carries among running backs without a fumble. [continue reading…]

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Jared Goff was the single worst quarterback in the NFL last year. He was Ryan Leaf bad — and that’s no exaggeration. Goff averaged 2.82 ANY/A in 2016, but Goff averaged 7.72 ANY/A in 2017, meaning he just completed the biggest year-over-year increase in NFL history.

Goff actually led the NFL in ANY/A in 2017, a remarkable worst-to-first journey. That’s because, by the narrowest of margins, he eclipsed Drew Brees for the ANY/A lead. The league average was 5.91 ANY/A this year, So Goff is the rare winner who was less than 2.00 ANY/A above league average.

But because he had “only’ 502 dropbacks, Goff didn’t lead the league in Value Added over Average, which is simply ANY/A minus League Average ANY/A (5.91) multiplied by number of dropbacks. The leader there? The likely MVP, Tom Brady.

The table below shows the ANY/A and Value leaders from 2017. Brees narrowly finished second in both metrics, but because Brees was throwing a lot of short passes to his remarkable running backs, and Brady reinvented himself as a deep thrower, Brady is likely your MVP pick. [continue reading…]

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Tom Brady Has Reinvented Himself Again

Tom Brady made a name for himself — and won a few Super Bowls — by orchestrating a horizontal passing game for the Patriots in the early ’00s. But after acquiring Randy Moss, Brady and the Patriots offense changed completely, as he could be seen heaving footballs down the field on a regular basis.

Post-Moss, Brady reverted to a passing game that featured a lot of intermediate passes, but Brady and the Patriots look very different in 2017. And the numbers bear that out. Brady’s average pass this season, whether being completed or not, has traveled 9.09 yards in the air. That’s really high for Brady — in fact, it’s the highest for Brady since 2006, the first year that data is available (it ranks 6th among all passers in 2017). And he’s averaging 6.96 air yards per pass on throws that are completed, which also ranks 6th in 2017 and is the 2nd (behind only 2007) best number of Brady’s career. In other words, Brady is once again throwing downfield a lot. Take a look at the graph below, which shows in blue the average air yards per pass and in red the average air yards per completed pass for Brady for each year since 2006.  The 2017 version of Brady is a lot different than the versions of Brady we’ve seen in recent years with a healthy Julian Edelman, who of course was lost for the season with an ACL tear in the preseason: [continue reading…]

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Only two teammates have ever won the AP Offensive Rookie of the Year and AP Defensive Rookie of the Year awards. That happened 50 years ago in 1967, when the Detroit selected RB Mel Farr with the 7th pick in the first round of the draft and future HOF CB Lem Barney with the 34th overall pick in the second round. As a rookie, Farr gained 1,177 yards from scrimmage in 13 games, 7th most in the NFL. Barney, meanwhile, led the NFL in interceptions, interception return yards, and interception return touchdowns, with a 10-232-3 stat line. Both made the Pro Bowl, and Barney was a 2nd-team All-Pro choice by both the NEA and NYDN.

This year’s Saints have a similar story. New Orleans went cornerback first and running back second, drafting RB Alvin Kamara with the 67th pick (3rd pick in the 3rd round) and CB Marshon Lattimore with the 11th overall selection (Utah S Marcus Williams was the second round pick). Kamara has been remarkable with 1,426 yards from scrimmage (8th in the NFL) and 12 touchdowns (tied for 3rd) in 15 games, while averaging a remarkable 6.2 yards per carry and 9.9 yards per reception. Either Kamara or Kareem Hunt will win the AP OROY award this year. Meanwhile, Lattimore has been a huge part of the Saints defensive revival: he’s a frontrunner for the AP DROY award, and is tied for 5th in the league with five interceptions, including one returned for a touchdown.

The final AV numbers from Pro-Football-Reference aren’t in yet, but since the Saints offensive and defensive numbers are both outstanding this year, and both Kamara and Lattimore made the Pro Bowl, I think it’s safe to assume that both will have at least 10 points of AV. [continue reading…]

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There have been many great running back pairs in NFL history. The standard bearers when it comes to running back pairs both played in NFL at the time the AFL was born: Jim Brown and Bobby Mitchell in Cleveland, and Paul Hornung and Jim Taylor in Green Bay. Any great running back pair needs more than one season, but when it comes to just one year of dominance — since the AFL/NFL merger — I am not sure if any pair can top what Mark Ingram and Alvin Kamara of the Saints have done this year.

Kamara is currently 4th among running backs in fantasy points using 0.5 points per reception (the middle ground between PPR and non-PPR leagues) with 252.1 fantasy points.  Meanwhile, Ingram is just behind him in 5th place with 247.6 fantasy points (awarding 1 point for every 10 yards rushing or receiving and 6 points for every touchdown).  Todd Gurley, Le’Veon Bell, and Kareem Hunt are your top three running backs with 355.3, 303.1, and 261.2 fantasy points, respectively, and then Melvin Gordon (243.7) and LeSean McCoy (231.9) are the only other running backs with over 200 fantasy points.

So no matter what Kamara and Ingram do this weekend (and the Saints are playing for the NFC South title this weekend, so the incentive is there for them to do well), they will both finish in the top 7 among all running backs. And guess what: that has never happened since the AFL-NFL merger.

In fact, just 8 times has a team had two top-10 running backs over this time.  In reverse chronological order…. [continue reading…]

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I saw an interesting tweet yesterday:

My first thought was, “No way!” But then again, the leading RB in receiving touchdowns is a pretty obscure category, so who knows. Well, it turns out McDowell is correct (at least back to 1970, which is as far as I checked; before 1970 you are dealing with much smaller leagues, anyway).

So yes, Todd Gurley really does have a running back quadruple crown: he leads all running backs in rushing yards (1,305; Kareem Hunt is second with 1,292); rushing TDs (13; Mark Ingram is second with 12); receiving yards (Alvin Kamara has 742) and receiving TDs (6; Kamara and Christian McCaffrey each have 5).  That is not going to hold up, as Gurley will rest this weekend as the Rams have clinched the NFC West but can not get the 1 or the 2 seed in the NFC.  But for now, it is pretty remarkable, if from nothing else than from a trivia perspective.

In fact, since 1970, only two running backs — Jamaal Charles in 2010 and Arian Foster in 2013 — have led all running backs in three out of those four carries. Charles ranked 3rd in rushing yards that year, Foster ranked 7th in this receiving TDs.

The table below shows all running backs since 1970 whose average rank in these four categories was 5.0 or lower. [continue reading…]

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Two years ago, I set a baseline for what a pre-season projection system should hope to accomplish. The simplest baseline of all would be to project each team to go 8-8. That would require no thought at all: a person could wake up 49 years and eight months from now and project each then-existing team in the NFL (or its successor league) to go .500 in the 2067 season. So any projection system has to beat that, at a minimum. As I wrote two years ago:

If you did that in every season from 1989 to 2014, your model would have been off by, on average, 2.48 wins per team. This is calculated by taking the absolute value of the difference between 0.500 and each team’s actual winning percentage, and multiplying that result by 16. So that should be the absolute floor for any projection model: you have to come closer than that.

Now, let’s flash back to July of this year. The USA Today published its preseason predictions in a rather provocative fashion, particularly with respect to two teams. I see a ton of preseason projections every year and forget them minutes later, so please forgive me if you feel like I am picking on the USA Today here. That is not the intent, and other publications have made more egregious errors but are not at my fingertips. But this publication picked the Patriots to go 16-0 and the Jets to go 1-15, which was rather extreme.

Upon further view of their predictions, many of them are pretty ugly. So I decided to compare those predictions to the “every team in the same” test, or the “8-8” system.

There were six teams the USA Today got really wrong, where an 8-8 projection would be at least 3.0 games closer to being accurate:

The Buffalo Bills are 8-7 (off of 0.500 by 0.5 wins); the USA Today predicted them to go 4-12 (off by 4.5 wins).
The Green Bay Packers are 7-8 (0.500 projection is off by 0.5); the USA Today predicted them to go 12-4 (off by 4.5).
The Los Angeles Rams are 11-4; an 8-8 projection would be off by 3.5 games, but the USA Today had the Rams are 4-12, off by 7.5 games.
The Oakland Raiders are 6-9 (off by 1.5); the USA Today had them at 11-5 (off by 4.5).
The Detroit Lions are 8-7 (off by 0.5); the USA Today had them at 5-11 (off by 3.5).
The Tennessee Titans are 8-7 (off by 0.5); the USA Today had them at 12-4 (off by 3.5).

You might say the loss of Aaron Rodgers shouldn’t be held against them, and that the Rams success caught everyone off guard. Both of those things are true, but we also know that superstars get hurt and surprise teams happen every year. Both of those facts should urge predictors to be more conservative in the aggregate.

The USA Today thought the Titans would be great and the Bills terrible; both are 8-7. And the USA Today had the Raiders at 11-5 and the Lions at 5-11; instead, Detroit has two more wins than Oakland. These, again, are signs that we shouldn’t be too overconfident in our preseason projections (a look at the Giants and the Rams projected wins totals would also work to that effect).

Now, there were also three teams where the USA Today beat the 8-8 system by at least 3 games.

The Indianapolis Colts were projected to go 5-11 by the USA Today; they are 3-12 (USAT off by 1.5, .500 prediction off by 4.5).
The Cleveland Browns were projected to go 4-12; they are 0-15 (USAT off by 3.5, .500 prediction off by 7.5).
The Pittsburgh Steelers were projected to go 12-4; they are 12-3 (USAT off by 0.5, .500 prediction off by 4.5).

In the case of the Colts, Browns, and Bears, predicting them to be bad — but not terrible — was the wise move. (That would have worked with the Jets, too: the 1-15 projection is now off by 4 or 5 wins, giving another win to the 8-8 system). The Steelers were projected to be very good, and that prediction was nailed. The USA Today even wins the Patriots bet as we stand right now (12-3 is closer to 16-0 than 8-8), but a more conservative approach would have been better.

Overall, the USA Today fared worse than the blind 8-8 system. The USA Today projections were closer than the 8-8 system for 13 teams. Meanwhile, the 8-8 system was closer on 15 teams, with four teams (Houston, Kansas City, Jacksonville, New Orleans) currently graded as ties. Take a look: [continue reading…]

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From 2002 to 2017, DeSean Jackson and Malcom Floyd are the two leaders in yards per reception (minimum 250 receptions). Jackson has 548 receptions for 9,487 yards, a 17.31 yards per catch average, while Floyd is at 321/5,550/17.29. We’ll skip who is #3 in yards per catch for a minute, but the next three are Torrey Smith, Eddie Kennison, and T.Y. Hilton.

Those are all pretty light players. Jackson’s weight, according to PFR (where all weights for this post were obtained), is 178 pounds. Floyd played at 201 pounds, while Smith, Kennison, and Hilton weighed in at 205, 201, and 183 pounds, respectively.

There are five players, all tight ends, who weigh over 260 pounds and had 250+ receptions since 2002: Rob Gronkowski, Kyle Rudolph, Alge Crumpler, Brent Celek, and Jermaine Gresham. Rudolph and Gresham averaged under 10 YPC for their careers, while Celek was at 12.6 and Crumpler at 12.7 (this excludes Crumpler’s 2001 season, although that doesn’t move the needle on his career YPC). Oh, and then there’s Gronk, who has a career YPC average of 15.15.

That’s… really high for a heavy man. And, make no mistake, at a listed 265 pounds, Rob Gronkowski is a heavy man. The graph below shows each player since 2002 with at least 250 receptions. On the X-Axis is each player’s yards per catch average; on the Y-Axis, their weight. Gronk is the red dot. [continue reading…]

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Carolina, Buffalo, and Exceeding Pythagenpat Results

The Buffalo Bills are still in the playoff hunt despite not being a very good team. The Bills have been outscored by 63 points so far this year, but have an 8-7 record. They’ve lost two games by 30+ points and two more by 20+ points, but a 5-2 record in one-score games has Buffalo still in the playoff hunt (the Bills are in with a win in week 17 and either a Ravens loss or losses by both the Titans and Chargers).

The Carolina Panthers are 8-1 in one-score games, the best record in the NFL. Carolina may be a very good team, but the Panthers are just 3-3 in games decided by more than 8 points. Carolina has a Pythagenpat winning percentage of 0.592, which is more in line with a 9-6 team than an 11-4 team.

The table below shows the Pythagenpat winning percentages for each team this season. The Bills and Panthers have exceeded “expectations” by the largest amount this year when it comes to actual winning percentage vs. Pythagenpat winning percentage. The biggest underachievers? The Browns, Bucs, Jaguars, and Chargers. [continue reading…]

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Last year, when the Browns were 0-14, I noted that Cleveland was also a pitiful 2-12 against the spread. The worst mark against the spread in a 16-game season was 3-13, which Cleveland managed to avoid. The Browns beat the Chargers (and the spread) in week 16, and then pushed in a 3-point loss in the season finale against, of course, Pittsburgh.

But guess what? After falling to the Bears today, 20-3, the Browns are now 3-12 against the spread (the second worst team is the Broncos, who are 4-10-1). And for the 7th time in 8 years, the Browns will again finish the season against the Steelers.

If you look at the teams that were 3-13 or 3-12-1 against the spread, they tend to do very well the next year. In other words, Vegas perhaps hasn’t quite caught up to the fact that teams that perform terribly against the spread do much better the next year.

TeamYearRecord ATSWin % ATSN+1 Record ATSN+1 Win % ATS
TEN20143-13-00.18755-10-10.34375
BAL20073-13-00.187512-4-00.75
NWE19813-13-00.18756-3-00.667
PIT19803-13-00.18758-8-00.5
CIN19873-12-00.211-5-00.6875
STL20113-12-10.2187511-5-00.6875
NYG20033-12-10.218758-8-00.5
OAK20033-12-10.218756-10-00.375
DAL19973-12-10.218758-7-10.53125
HOU19943-12-10.2187511-5-00.6875
BAL19813-12-10.218754-5-00.444
SFO19783-12-10.218757-8-10.46875
Average3-12.3-0.60.2078.1-6.5-0.30.554

But then you have… the Browns. Cleveland is now 6-24-1 against the spread since the start of last season, ensuring they will finish with the worst mark since 1978 over a 2-year period. The 2014-2015 Titans were the previous record-holder, at 8-23-1 against the spread, followed by the 2008-2009 Jaguars (9-23-0) and four teams at 9-22-1 (’03-’04 Raiders, 2007-2008 Broncos, 1990-1991 Rams, and well, the 2015-2016 Browns).

So not only has Cleveland been historically bad on the field this year, they have been historically bad against the spread for the second year in a row.

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There’s no dancing around the issue of Cleveland’s winless season.

On Thursday, I noted that Jimmy Garoppolo had joined rare company by beginning his career with a 5-0 start.  In the comments to that post, Mark Growcott commented that Browns rookie Deshone Kizer has begun his career with an 0-13 start.  Cleveland, of course, is 0-14 (Kevin Hogan started one game), with Kizer undoubtedly playing a large role in those failures. It may not be his fault per se — i.e., one could argue he’s too green to even be playing — but his production has been abysmal. He’s averaging 3.50 ANY/A this season, easily the lowest in the NFL.

Mark wanted to know if that was the worst losing streak to begin a career. The answer is… yes! Jack Trudeau like Kizer, was a mid-second round pick. Trudeau played at Illinois and was drafted by the Colts in 1986.  Indianapolis was not very good back then, and neither was Trudeau, who went 0-11 as a starter during his rookie season.  In 1987, Trudeau lost the team’s first game, but then after the players’ strike ended, he came back and helped the Colts beat the Patriots in late October for the first win of his career. Trudeau set the record by losing his first 12 starts, until Kizer broke that mark on Sunday with a loss to the Ravens.

Kizer is one of just 9 quarterbacks to begin his career with an 0-10 record or worse. Jack Trudeau was the only one to start 0-12, while Troy Aikman and Stan Gelbaugh both had 0-10 starts.

Derek Carr began his career with an 0-10 start just four seasons ago. So too did Brodie Croyle, Harry Gilmer, Zach Mettenberger, and Warren Moon. Rick Norton, Dan Orlovsky, and Norm Snead began their careers with 0-9 starts.

Cleveland is 0-14 for a lot of reasons, but as you can suspect, much of it can come down to the team’s passing offense and passing defense. In just one of 14 games this season have the Browns won the ANY/A battle against their opponent: [continue reading…]

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In week 3, the Jaguars blew out the Ravens in London, 44-7, producing a Game Script of 22.6. That was the biggest Game script of the season, until week 15. On Sunday, the Rams destroyed the Seahawks, 42-7 in a game that was over at halftime. Los Angeles seven first half drives ended as follows: field goal, field goal, touchdown, interception, touchdown, touchdown, touchdown. Seattle’s first half drives ended as follows: fumble, punt, punt, punt, punt, fumble, punt, end of half.

The Rams recorded the biggest Game Script of the season at +23.4, but Los Angeles wasn’t alone. The third and fourth biggest Game Scripts of the season also came on Sunday. The Jaguars, again, were the big rollers: Jacksonville beat Houston 45-7 and recorded a Game Script of +21.7, thanks to jumping out to a 31-0 halftime lead. And Minnesota took a 24-0 lead into the locker room against Cincinnati, and a 34-0 lead before finally winning 34-7. The Vikings posted a Game Script of +20.9, one of just six games this year with a Game Script of +20.0.

The full Game Scripts from week 15, below: [continue reading…]

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Jimmy Garoppolo is now 5-0 as a starter for the Patriots and 49ers. This, despite being an underdog in 3 of his first 5 starts:

Vegas
Rk Tm Year Date
Time LTime Opp Week G# Day Result OT Spread vs. Line Over/Under OU Result
1 NWE 2016 2016-09-11 8:30 5:30 @ ARI 1 1 Sun W 23-21 9.0 covered 44.5 under
2 NWE 2016 2016-09-18 1:02 1:02 MIA 2 2 Sun W 31-24 -5.5 covered 42.0 over
12 SFO 2017 2017-12-03 1:00 12:00 @ CHI 13 12 Sun W 15-14 2.5 covered 42.0 under
13 SFO 2017 2017-12-10 1:00 12:00 @ HOU 14 13 Sun W 26-16 1.0 covered 45.5 under
14 SFO 2017 2017-12-17 4:25 1:25 TEN 15 14 Sun W 25-23 -2.5 not covered 44.5 over

[continue reading…]

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Two years ago, after week 15 of the regular season, I noted the following:

Antonio Brown has 1,586 receiving yards, most in the NFL, which puts him on pace for 1,813 receiving yards this season.

Adrian Peterson has 1,314 rushing yards, most in the NFL, which puts him on pace for 1,502 rushing yards in 2015.

That’s pretty weird.  In general, the rushing leader usually gains more rushing yards than the receiving yardage leader picks up through the air.  From 1970 to 2014, the receiving yards leader  “outgained” the rushing yards leader in only 10 of 45 seasons.  And in only three of those years did the receiving leader “win” by more than 100 yards: in 1999 (Marvin Harrison had 1663 receiving yards; his teammate Edgerrin James had 1553 rushing yards), 1990 (Jerry Rice over Barry Sanders, 1502 to 1304), and 1982 (Wes Chandler over Freeman McNeil in the strike-shortened season, 1032to 786). On a per-game basis, it’s tough to beat what Chandler did, but Brown is on pace to become the first receiving leader since the merger (in fact, the first in the NFL since 1952) to “outgain” the rushing leader by over 300 yards.

By the end of the year, Julio Jones led the league in receiving with 1,871 yards, while Peterson rushed for “only” 1,485 receiving yards. So that was an odd year where the receiving leader finished with nearly 400 more yards than the rushing leader.

Last season, T.Y. Hilton led the NFL with 1,448 receiving yards, while Ezekiel Elliott had 1,631 rushing yards despite missing one game.

But this year? Well, Brown is at it again.  Through 13 games, Pittsburgh had the leading rushing and receiver in the NFL.  Brown had a whopping 1,509 receiving yards while Le’Veon Bell led the NFL with “only” 1,105 rushing yards. That was a massive 404 yard difference after just 13 games!  In game 14 (which, of course, takes place in week 15), Brown was injured and is likely out for the rest of the regular season.  So through 15 games, Bell has 1,222 rushing yards and Brown has 1,533 receiving yards.

There’s a chance Brown winds up leading the NFL without taking another snap this year, or that DeAndre Hopkins passes him (1,313 yards with two games to play).  Either way, this is likely another season where the receiving leader will outgain the rushing leader.

But also noteworthy: right now, the leading receiver on 22 of the NFL’s 32 teams has more yards than that team’s leading rusher.  The Bills (LeSean McCoy) rushing leader has 600 more yards than the team’s receiving leader (Charles Clay), making them one of just 7 teams where the rushing leader has 100+ more yards than the receiving leader. Three teams — the Cardinals, Vikings, and Texans — have their receiving leader with 500+ more yards than their rushing leader. Take a look: [continue reading…]

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Through 15 weeks, the league-wide Adjusted Net Yards per Attempt average is 5.99, representing a small turn down from the high water marks of the past few seasons.

Tom Brady is second in the NFL in ANY/A at 7.72, just a hair behind Drew Brees (7.75). But because Brady has 52 more dropbacks than Brees this season, that makes Brady the better MVP candidate. Brady leads the NFL in passing value added, which is simply ANY/A minus league average ANY/A, with that difference multiplied by number of dropbacks. The table below shows the amount of passing value added by the 35 quarterbacks this season with 200 pass attempts. [continue reading…]

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Through 14 games, the Jacksonville Jaguars may be the best team in the NFL. Jacksonville ranks first by an enormous margin in pass defense, which is the main driver of the team’s success. The Jaguars are 0.90 ANY/A better than the second-ranked pass defense (Baltimore), and 1.37 ANY/A better than the third-ranked pass defense (Chargers). Jacksonville’s rush defense on a per-carry basis ranks just 29th, but the Jaguars are still the best defense in the NFL.

To measure defenses on per play basis, I took a weighted average of a defense’s yards per rush allowed (40%) and adjusted net yards per attempt allowed (60%). The Jaguars allow 3.87 yards per play, the best in the league by a good margin, followed by the Ravens, Vikings, and Eagles.

We can do the same thing for offense. Jacksonville ranks 8th in yards per carry and 12th in ANY/A, which may surprise folks, but Blake Bortles has been white hot the last three weeks. The best offense belongs to the Saints, who rank 1st in ANY/A (by a razor thin margin of the Patriots) and 2nd in YPC (by a razor thin margin behind the Chiefs). The Saints have the best offense in the NFL on a per-play basis (using the same 40%/60% split) and the 11th-best defense, good enough for New Orleans to rank as the 3rd best team overall.

But Jacksonville ranks 9th in offense, and with that pass defense, that’s enough to put the team in first place on a per-play basis overall. Take a look: [continue reading…]

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Bell leads the NFL in rushing yards and rushing attempts.

Steelers running back Le’Veon Bell is having another sensational season. Since 2014, Bell is averaging 91.3 rushing yards and 46.5 receiving yards per game. Bell actually leads all players in yards from scrimmage since 2014 despite missing 14 games! He’s averaging 137.8 yards from scrimmage per game since 2014; Ezekiel Elliott is second at 129.9, but he only played in 23 games. If you exclude Elliott, the next two players are wide receivers (Antonio Brown and Julio Jones) at 106.3 and 104.3, respectively. In fact, excluding Elliot, no other running back has averaged even 100 yards from scrimmage per game; LeSean McCoy is second to Bell at 99.9 yards per game.

Bell is not just a yards from scrimmage star, however. As of yesterday, he was also leading the NFL in rushing yards, Bell is at 1,105 rushing yards, ahead of Kareem Hunt (1,046), Todd Gurley (1,035), Jordan Howard (1,032), and McCoy (1,007). Last night, Hunt rushed for 155 yards in a win over the Chargers, so he is now ahead of Bell (the Steelers play the Patriots today). Elliott is at 97.9 rushing yards per game, a bit ahead of Bell (85.0), but Elliott has missed five (soon to be six) games due to suspension.

Assuming Bell does go on to win the rushing crown, he may in fact join a pretty rare group: leading the NFL in rushing yards despite averaging fewer than 4.0 yards per carry. Right now, Bell is at 3.90 yards per carry, and there’s a good chance his YPC either improves or if it doesn’t, he doesn’t wind up winning the rushing crown. But if he does win the rushing title, Bell would have the lowest yards per carry average of any rushing champion since Football Perspective favorite Eddie Price back in 1951.

The table below shows the rushing yards leader in each season in the NFL, AFL, and AAFC since 1932.

Running BackYearTeamLgRushYardsYPC
Whizzer White1940DETNFL1465143.52
Doug Russell1935CRDNFL1404993.56
Eddie Price1951NYGNFL2719713.58
Whizzer White1938PITNFL1525673.73
Bill Paschal1944NYGNFL1967373.76
Bill Paschal1943NYGNFL1475723.89
Cliff Battles1932BOSNFL1485763.89
Floyd Little1971DENNFL28411333.99
Christian Okoye1989KANNFL37014804.00
Tuffy Leemans1936NYGNFL2068304.03
Cliff Battles1937WASNFL2168744.05
Bill Dudley1946PITNFL1466044.14
Edgerrin James1999INDNFL36915534.21
Charles White1987RAMNFL32413744.24
Cookie Gilchrist1964BUFAFL2309814.27
Eric Dickerson1988INDNFL38816594.28
Emmitt Smith1991DALNFL36515634.28
O.J. Simpson1972BUFNFL29212514.28
Bill Dudley1942PITNFL1626964.30
Paul Robinson1968CINAFL23810234.30
Steve Van Buren1949PHINFL26311464.36
Gale Sayers1969CHINFL23610324.37
Pug Manders1941BKNNFL1114864.38
Edgerrin James2000INDNFL38717094.42
George Rogers1981NORNFL37816744.43
Eric Dickerson1986RAMNFL40418214.51
Alan Ameche1955BALNFL2139614.51
Jim Nance1967BOSAFL26912164.52
Adrian Peterson2015MINNFL32714854.54
Curtis Martin2004NYJNFL37116974.57
Jim Brown1959CLENFL29013294.58
Emmitt Smith1992DALNFL37317134.59
Earl Campbell1979HOUNFL36816974.61
Jim Brown1961CLENFL30514084.62
Marcus Allen1985RAINFL38017594.63
Eric Dickerson1983RAMNFL39018084.64
Steve Van Buren1947PHINFL21710084.65
Jim Brown1957CLENFL2029424.66
Jim Musick1933BOSNFL1738094.68
LaDainian Tomlinson2007SDGNFL31514744.68
Maurice Jones-Drew2011JAXNFL34316064.68
Steve Van Buren1948PHINFL2019454.70
Emmitt Smith1995DALNFL37717734.70
DeMarco Murray2014DALNFL39218454.71
Billy Cannon1961HOUAFL2009484.74
Larry Brown1970WASNFL23711254.75
Priest Holmes2001KANNFL32715554.76
Dickie Post1969SDGAFL1828734.80
Earl Campbell1978HOUNFL30214504.80
Rick Casares1956CHINFL23411264.81
Ricky Williams2002MIANFL38318534.84
Adrian Peterson2008MINNFL36317604.85
Jim Nance1966BOSAFL29914584.88
Arian Foster2010HOUNFL32716164.94
Leroy Kelly1968CLENFL24812395.00
Paul Lowe1965SDGAFL22211215.05
Barry Sanders1996DETNFL30715535.06
Spec Sanders1946NYYAAFC1407095.06
Ezekiel Elliott2016DALNFL32216315.07
Shaun Alexander2005SEANFL37018805.08
Clem Daniels1963OAKAFL21510995.11
Barry Sanders1990DETNFL25513045.11
LeSean McCoy2013PHINFL31416075.12
Cookie Gilchrist1962BUFAFL21410965.12
Terrell Davis1998DENNFL39220085.12
Leroy Kelly1967CLENFL23512055.13
Jim Brown1964CLENFL28014465.16
O.J. Simpson1976BUFNFL29015035.18
Earl Campbell1980HOUNFL37319345.18
Freeman McNeil1982NYJNFL1517865.21
LaDainian Tomlinson2006SDGNFL34818155.22
Emmitt Smith1993DALNFL28314865.25
Joe Perry1953SFONFL19210185.30
Jamal Lewis2003BALNFL38720665.34
Jim Brown1965CLENFL28915445.34
Otis Armstrong1974DENNFL26314075.35
Gale Sayers1966CHINFL22912315.38
Jim Taylor1962GNBNFL27214745.42
Walter Payton1977CHINFL33918525.46
O.J. Simpson1975BUFNFL32918175.52
Eric Dickerson1984RAMNFL37921055.55
Chris Johnson2009TENNFL35820065.60
Abner Haynes1960DTXAFL1568755.61
Barry Sanders1994DETNFL33118835.69
Dan Towler1952RAMNFL1568945.73
Bill Osmanski1939CHINFL1216995.78
Marion Motley1950CLENFL1408105.79
Steve Van Buren1945PHINFL1438325.82
Jim Brown1960CLENFL21512575.85
Jim Brown1958CLENFL25715275.94
Adrian Peterson2012MINNFL34820976.03
O.J. Simpson1973BUFNFL33220036.03
Joe Perry1954SFONFL17310496.06
Barry Sanders1997DETNFL33520536.13
Marion Motley1948CLEAAFC1579646.14
Spec Sanders1947NYYAAFC23114326.20
Jim Brown1963CLENFL29118636.40
Joe Perry1949SFOAAFC1157836.81
Beattie Feathers1934CHINFL11910048.44

In the last 20 years, Edgerrin James has the two lowest YPC averages of any rushing leader.  Before James, the lowest YPC average belongs to Christian Okoye, who averaged exactly 4.00 yards per carry in 1989.  Okoye narrowly avoided being one of just two running backs since the AFL-NFL merger to lead the NFL in rushing with a sub-4.00 YPC average. That lone honor therefore belongs to Floyd Little, who averaged 3.99 YPC in 1971.

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Yesterday, I noted one of the counter-intuitive facts of the 2017 season: the best defenses by yards per carry allowed weren’t very good teams, while the worst defenses by yards per carry allowed were good teams. The correlation coefficient between winning percentage and yards per carry allowed “should” be negative, but was in fact a positive 0.37.

What about for offenses? Well, the correlation coefficient is a positive 0.26, which is more intuitive. It means the teams that average more yards per carry also average more wins, although the relationship isn’t particularly strong. The best 8 teams by YPC average have won 54% of their games, while the worst 8 teams have won 45% of their games. The Steelers are a noteworthy example, as Pittsburgh is 11-2 but ranks 28th in yards per carry. The Bears and Browns rank 5th and 7th in yards per carry, but have combined to go 4-22.

But in general, there is a positive correlation in 2017 between being good at gaining yards per rush and winning teams. So the “reasons” you may have used to justify why bad teams were good at yards per carry allowed don’t hold much water here. [continue reading…]

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Regular readers know that I am not a big fan of yards per carry to measure a running game, on either the team or the individual level. That also goes for team defense. If you look at this year’s standings, though, and compare a team’s record to its yards per carry allowed, you will in fact notice a correlation.

And a moderately strong one at that. The correlation coefficient between a team’s winning percentage in 2017 and that team’s yards per carry allowed is 0.37. That indicates a positive correlation between the two stats, but… well, there isn’t supposed to be a positive correlation. This means that allowing more yards per rush is correlated with winning more games. See for yourself: [continue reading…]

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The Jets Outlook vs. the Saints is Petty Ugly

As it stands, Bryce Petty and the Jets are 17-point underdogs this Sunday in New Orleans. Here are the 15 largest spreads the New York Jets have faced since 1978:

Query Results Table
Vegas
Rk Tm Year Date Time LTime Opp Week G# Day Result OT Spread
vs. Line Over/Under Result
1 NYJ 2007 2007-12-16 1:02 1:02 @ NWE 15 14 Sun L 10-20 20.5 covered 41.0 under
2 NYJ 1992 1992-12-06 1:00 1:00 @ BUF 14 13 Sun W 24-17 17.0 covered 36.0 over
3 NYJ 2016 2016-12-24 1:00 1:00 @ NWE 16 15 Sat L 3-41 17.0 not covered 45.0 under
4 NYJ 2007 2007-11-22 4:20 3:20 @ DAL 12 11 Thu L 3-34 14.5 not covered 47.5 under
5 NYJ 2017 2017-09-17 4:05 1:05 @ OAK 2 2 Sun L 20-45 14.0 not covered 44.0 over
6 NYJ 1984 1984-11-26 9:00 9:00 @ MIA 13 13 Mon L 17-28 13.5 covered 45.0 push
7 NYJ 1989 1989-12-17 4:00 1:00 @ RAM 15 15 Sun L 14-38 13.0 not covered 43.0 over
8 NYJ 1996 1996-12-08 4:00 4:00 @ NWE 15 14 Sun L 10-34 13.0 not covered 43.5 over
9 NYJ 2005 2005-11-20 4:15 2:15 @ DEN 11 10 Sun L 0-27 13.0 not covered 41.0 under
10 NYJ 1978 1978-10-01 1:00 1:00 PIT 5 5 Sun L 17-28 12.5 covered 0.0 over
11 NYJ 1996 1996-09-15 1:00 1:00 @ MIA 3 3 Sun L 27-36 12.5 covered 39.5 over
12 NYJ 1992 1992-12-20 8:00 8:00 @ MIA 16 15 Sun L 17-19 11.5 covered 37.0 under
13 NYJ 2013 2013-09-12 8:29 8:29 @ NWE 2 2 Thu L 10-13 11.5 covered 43.0 under
14 NYJ 1987 1987-10-11 1:00 1:00 @ IND 5 4 Sun L 0-6 11.0 covered 0.0 over
15 NYJ 2009 2009-11-22 4:15 4:15 @ NWE 11 10 Sun L 14-31 11.0 not covered 45.0 push

[continue reading…]

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