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If you look at the Patriots’ PFR page, you’ll see that the Patriots are a 10-3team that’s played like an 8-5 team that has a 6-7 record against the spread. I wondered how often a team with such a good record was below average against the spread. The answer: pretty frequently. Which I suppose isn’t too surprising, since Vegas doesn’t like to make it so easy to win money that all you need to do is pick winners.

New England has mirrored its ancestors from 35 years ago, who also started 10-3 but posted a 7-6 record against the spread. The table below shows all teams from 1978 to 2012, excluding the strike years, to win at least 3 more games outright through 13 weeks than against the spread. In an expected turn of events, the top 4 teams on the list all made the Super Bowl in the prior year. That leads to being favored frequently, and if you win enough close games, you’ll make this list.
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New York Times: Post-Week 3, 2013

This week at the New York Times, I examine the disappointing San Francisco 49ers.

From the moment Coach Jim Harbaugh arrived in San Francisco in 2011, the 49ers have been one of the N.F.L.’s best teams.

In Harbaugh’s first two seasons, the 49ers ranked third in combined wins (24) and points differential (275), trailing only the New England Patriots and the Green Bay Packers in both categories. In those two seasons, San Francisco allowed 502 points, easily the fewest in the league. Even after losing in the Super Bowl in February, Harbaugh’s 49ers seemed poised to become the next dynasty. But after defeating the Packers in Week 1, San Francisco has been outscored, 56-10, in the last two weeks.

In Seattle, the 49ers were 3-point underdogs, and lost, 29-3. At home against the Indianapolis Colts, San Francisco was a 10 ½-point favorite, and lost by 20 points. For the season, San Francisco has fallen short of expectations — defined as the point spread in the game — by an average of 17.5 points a game (only the Giants, at 18.3 points, have been more disappointing). How have teams with similar expectations and results fared over the course of the rest of the season?

From 1990 to 2012, 14 teams have met three criteria: won at least 10 games in the previous year; on average, were favored to win the first three games of the next season; and failed to cover the spread by, on average, at least 10 points. On average, those teams won 12.5 games the previous season but just eight in the season in question, an indication that the slow start is a sign of mediocre things to come.

TeamYearPFPASpreadDifferenceN-1 RecordYear N Rec
NOR200712.734.3-1-22.710-6-07-9-0
SFO201314.728-4.2-17.511-4-1--
DEN199913.725.7-2.3-14.314-2-06-10-0
STL20021725-5.5-13.514-2-07-9-0
NOR201227.734-6.8-13.213-3-07-9-0
PIT200215.724.3-4.2-12.813-3-010-5-1
NWE200816.319.3-9.2-12.216-0-011-5-0
CHI199215.726.3-1.5-12.211-5-05-11-0
KAN200420.728.7-3.8-11.813-3-07-9-0
TEN20011223.3-0.3-11.713-3-07-9-0
WAS20001719.7-8.8-11.510-6-08-8-0
CHI20071119.3-3-11.313-3-07-9-0
PHI20031120.3-1.3-10.712-4-012-4-0
ARI20101625.7-0.5-10.210-6-05-11-0
IND200817.322.3-5-1013-3-012-4-0

The 2001 St. Louis Rams and the 2006 Chicago Bears lost in the Super Bowl, then both finished 7-9 the next season. The 2006 New Orleans Saints made it to the N.F.C. championship game, then started 2007 with four losses, and finished 7-9. Three games is a small sample size for the 49ers, but last year’s success guarantees nothing but high expectations. And only one of those 14 teams — the 2007 Saints — fell as far short of expectations (as measured by points differential relative to the point spread) as this year’s 49ers.

There might be more hope for a turnaround if San Francisco’s struggles were contained: unfortunately for 49ers fans, the team has struggled in every aspect of the game. The biggest surprise has been the fall of a dominant rush defense.

Two years ago, the 49ers did not allow a rushing touchdown until the 15th game of the season; last year, three of the team’s four linebackers (Aldon Smith, NaVorro Bowman and Patrick Willis) were named first-team All-Pro by The Associated Press, as the run defense finished in the top five in rushing yards, yards per carry and touchdowns allowed.

This season, the 49ers have allowed six rushing touchdowns. The struggles are not just at the goal line: Harbaugh’s 49ers allowed 170 rushing yards just once in his first 38 games (including the postseason). But they have allowed more than that in back-to-back weeks this season against the Seattle Seahawks and the Colts.

You can read the entire article here.

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Favored to win or lose every game?

On Monday and Tuesday, I looked at the teams that had the longest streaks as either a favorite or an underdog. In the comments, James asked if I could put together a list of teams that were favored to win or lose every game in a single season.

Six teams — the ’98 Broncos, ’95 Cowboys, ’94 49ers, ’91 Redskins, ’84 49ers, and ’79 Steelers — were favorites in every game and won the Super Bowl. The ’97 49ers have the distinction of being the only team to be favored in every game during the regular season and be an underdog in the playoffs: that happened in the NFC Championship Game against the Packers.

In the table below, I’ve listed every team that was favored to win every regular season game since 1978, along with the average points spread, the team’s actual record, and their ranks in points and points allowed.

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Longest streaks as an underdog

Yesterday, I looked at the longest streaks as a favorite. The ’99 to ’02 Rams were the record holder, as the team was favored in an astounding 57 consecutive games. Unfortunately for the franchise, things weren’t so great in the post-Kurt Warner era. In fact, five years after that streak ended, the Rams started a new record-setting streak. Starting in week 14 of the 2007 season, St. Louis was an underdog in 43 consecutive games. The streak finally ended when the 2010 Rams hosted the 1-6 Carolina Panthers. Incredibly, 100 games of Rams history can be broken down into two really long streaks of greatness and futility.

The 43-game streak spanned six quarterbacks: Brock Berlin, Marc Bulger, Trent Green, Kyle Boller, Keith Null, and Sam Bradford. The table below shows the 20 longest streaks for all teams since 1978.
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Longest streaks as a favorite

The GSOT

The GSOT.

On its own, this week five game against San Francisco doesn’t stand out as anything special. The 0-4 Rams were traveling to San Francisco with Jamie Martin at quarterback, who led the team to just 10 points the previous week in Dallas after Kurt Warner broke his pinky finger. The 49ers were coming off of a bye week, and would send Jeff Garcia and Terrell Owens to the Pro Bowl, while Garrison Hearst and Kevan Barlow led a top-six ground game. San Francisco should have, and did, win convincingly.

The reason that’s a notable game is precisely because the 49ers were six-point favorites. That marked the first time since week 2, 1999 — when the Rams had not yet been recognized as the Greatest Show on Turf — that St. Louis was not favored to win a game. For the final 14 regular season games and the three playoff games in 1999, all seventeen games in 2000, all 19 games in 2001, and the first four games in 2002 — a stretch of 57 straight games — the Rams took the field as favorites. That’s the longest streak since 1978, and perhaps ever. And I’m not sure if this makes that fact more of less impressive, but all things considered, the Rams’ record wasn’t that great during the stretch. Part of the reason for the streak was that St. Louis generally had a weak schedule those years, but continually being favored to win games without a great record is an interesting (and rare) sign of respect.

TeamStreakYear StartYear EndRecordStreak Ender
STL571999200240-17-0 vs. SFO
SFO391984198630-9-0 vs. MIA
DAL361981198326-10-0 vs. SFO
PIT351978198026-9-0 vs. HOU
SFO341989199029-5-0 vs. NYG
CHI331985198728-5-0 vs. DEN
SFO291991199324-5-0 vs. DAL
SFO281994199521-7-0 vs. DAL
WAS281991199223-5-0 vs. KAN
DAL271993199423-4-0 vs. SFO
DAL231995199616-7-0 vs. PHI
GNB211997199816-5-0 vs. MIN
DEN211998199917-4-0 vs. TAM
NWE202007200819-1-0 vs. NYJ

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NFL Futures

I’m in Las Vegas, and thought I would solicit suggestions before placing bets.

20130719-195702.jpg 20130719-195733.jpg 20130719-195723.jpg 20130719-195742.jpg
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Steve Johnson doesn't care about the NFL schedule

Steve Johnson doesn't care about the NFL schedule.

Chris Brown of buffalobills.com is not happy with the way the Bills’ schedule shakes out. Again. Last year, this is what Brown wrote after examining the 2012 schedule:

After playing what is expected to be a physical contest with the 49ers in San Francisco in Week 5 [Chase: In retrospect, not that physical], the Bills then face the Cardinals in Arizona in Week 6. The Cards will have the benefit of three extra days of prep time for Buffalo as their Week 5 game is on Thursday night.

The very next week when the Bills play host to Tennessee, the Titans will also have three extra days of prep time for Buffalo because they’re playing on Thursday night the previous week (Week 6) as well.

The Bills look to get a break as they’ll have a bye week in Week 8 to get two weeks to prep for the Texans in Houston. But that extra prep time will be a wash because Houston also has their bye in Week 8.

Finally while the Bills are battling the Texans in Houston, the Patriots will be on their couches watching at home while their head coach grinds tape for two weeks to prepare for the Bills who travel to New England in Week 10 as the Pats have their bye in Week 9.

Brown’s claims were accurate: Buffalo did face a team coming off extra rest (i.e., more than eight days) four times in five weeks. Of course, those were the only times all season the Bills played a team coming off extra rest. Still, if we look at the 2012 season, it’s fair to say the Bills got the short end of the scheduling stick.

But they don’t have the biggest beef. Philadelphia faced four teams coming off bye weeks last year, tying the ’09 Falcons, ’05 Chargers, ’03 Cowboys, and ’99 Chargers for facing the most teams coming off a bye week since 1994.
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Implied SRS Ratings of each NFL Team

On Wednesday, Jason Lisk came up with a set of power rankings based on the point spread for nearly every game this season (spreads for the games in the final week of the season have not yet been released).

We can use the SRS to come up with the implied ratings for each team (this is what Lisk did, although I don’t think he used the SRS). So how do we come up with the SRS ratings? The point spread in each game provides an implied strength margin (“ISM”) between the two teams: When the Jaguars are 14-point underdogs in Denver, that implies that Denver is 11 points better than Jacksonville. If we treat each ISM like we would margin of victory, then we can use the SRS to come up with team ratings. For those who need a primer on what the SRS is, you can read about it here; the rest of you can skip to the ratings:
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Super Bowl XLVII Prop Bets

I don’t advocate betting on football games and neither does Football Perspective. However, as a person who spends lot of time trying to measure events that are difficult to measure, as an academic exercise, I find this list of Super Bowl Prop bets pretty interesting.

MVP and First to Score a Touchdown Odds

SUPER BOWL XLVII – Odds to Win MVP?

Colin Kaepernick (SF) QB 7/4
Joe Flacco (BAL) QB 11/4
Frank Gore (SF) RB 7/1
Ray Lewis (BAL) LB 7/1
Ray Rice (BAL) RB 10/1
Michael Crabtree (SF) WR 14/1
Anquan Boldin (BAL) WR 16/1
Vernon Davis (SF) TE 18/1
Torrey Smith (BAL) WR 20/1
Ed Reed (BAL) FS 33/1
Aldon Smith (SF) LB 40/1
Dennis Pitta (BAL) TE 40/1
Randy Moss (SF) WR 40/1
Patrick Willis (SF) LB 50/1
Terrell Suggs (BAL) LB 50/1
Dashon Goldson (SF) FS 66/1
David Akers (SF) K 66/1
LaMichael James (SF) RB 66/1
NaVorro Bowman (SF) LB 66/1
Bernard Pierce (BAL) RB 75/1
Justin Tucker (BAL) K 75/1
Ted Ginn Jr. (SF) WR 75/1
Alex Smith (SF) QB 100/1
Delanie Walker (SF) TE 100/1
Field 22/1

Player to score the first TD in the game?

Frank Gore (SF) RB 13/2
Ray Rice (BAL) RB 15/2
Michael Crabtree (SF) WR 15/2
Anquan Boldin (BAL) WR 8/1
Colin Kaepernick (SF) QB 8/1
Vernon Davis (SF) TE 9/1
Torrey Smith (BAL) WR 10/1
Dennis Pitta (BAL) TE 12/1
Randy Moss (SF) WR 12/1
Delanie Walker (SF) TE 18/1
Bernard Pierce (BAL) RB 20/1
Ed Dickson (BAL) TE 25/1
Jacoby Jones (BAL) WR 25/1
Joe Flacco (BAL) QB 30/1
Vonta Leach (BAL) FB 33/1
Ed Reed (BAL) FS 33/1
Anthony Dixon (SF) RB 33/1
Ted Ginn Jr. (SF) WR 33/1
Ray Lewis (BAL) LB 50/1
Field 17/2
No TD scored in the game 75/1
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Super Bowl History

Now that the Super Bowl matchup is set, I thought I’d start the two-week period with some Super Bow history. The table below lists some information from each of the first 46 Super Bowls. With Joe Flacco and Colin Kaepernick facing off, that ends five-year streak where at least one of the two quarterbacks in the Super Bowl had previously won (or been in) a Super Bowl:

YearSBWinnerPFLoserPALocationSTQBOpp QBMVP
2011XLVINew York Giants21New England Patriots17IndianapolisINEli ManningTom BradyEli Manning
2010XLVGreen Bay Packers31Pittsburgh Steelers25ArlingtonTXAaron RodgersBen RoethlisbergerAaron Rodgers
2009XLIVNew Orleans Saints31Indianapolis Colts17MiamiFLDrew BreesPeyton ManningDrew Brees
2008XLIIIPittsburgh Steelers27Arizona Cardinals23TampaFLBen RoethlisbergerKurt WarnerSantonio Holmes
2007XLIINew York Giants17New England Patriots14GlendaleAZEli ManningTom BradyEli Manning
2006XLIIndianapolis Colts29Chicago Bears17MiamiFLPeyton ManningRex GrossmanPeyton Manning
2005XLPittsburgh Steelers21Seattle Seahawks10DetroitMIBen RoethlisbergerMatt HasselbeckHines Ward
2004XXIXNew England Patriots24Philadelphia Eagles21JacksonvilleFLTom BradyDonovan McNabbDeion Branch
2003XXXVIIINew England Patriots32Carolina Panthers29HoustonTXTom BradyJake DelhommeTom Brady
2002XXXVIITampa Bay Buccaneers48Oakland Raiders21San DiegoCABrad JohnsonRich GannonDexter Jackson
2001XXXVINew England Patriots20St. Louis Rams17New OrleansLATom BradyKurt WarnerTom Brady
2000XXXVBaltimore Ravens34New York Giants7TampaFLTrent DilferKerry CollinsRay Lewis
1999XXXIVSt. Louis Rams23Tennessee Titans16AtlantaGAKurt WarnerSteve McNairKurt Warner
1998XXXIIIDenver Broncos34Atlanta Falcons19MiamiFLJohn ElwayChris ChandlerJohn Elway
1997XXXIIDenver Broncos31Green Bay Packers24San DiegoCAJohn ElwayBrett FavreTerrell Davis
1996XXXIGreen Bay Packers35New England Patriots21New OrleansLABrett FavreDrew BledsoeDesmond Howard
1995XXXDallas Cowboys27Pittsburgh Steelers17TempeAZTroy AikmanNeil O'DonnellLarry Brown
1994XXIXSan Francisco 49ers49San Diego Chargers26MiamiFLSteve YoungStan HumphriesSteve Young
1993XXVIIIDallas Cowboys30Buffalo Bills13AtlantaGATroy AikmanJim KellyEmmitt Smith
1992XXVIIDallas Cowboys52Buffalo Bills17PasadenaCATroy AikmanJim KellyTroy Aikman
1991XXVIWashington Redskins37Buffalo Bills24MinneapolisMNMark RypienJim KellyMark Rypien
1990XXVNew York Giants20Buffalo Bills19TampaFLJeff HostetlerJim KellyOttis Anderson
1989XXIVSan Francisco 49ers55Denver Broncos10New OrleansLAJoe MontanaJohn ElwayJoe Montana
1988XXIIISan Francisco 49ers20Cincinnati Bengals16MiamiFLJoe MontanaBoomer EsiasonJerry Rice
1987XXIIWashington Redskins42Denver Broncos10San DiegoCADoug WilliamsJohn ElwayDoug Williams
1986XXINew York Giants39Denver Broncos20PasadenaCAPhil SimmsJohn ElwayPhil Simms
1985XXChicago Bears46New England Patriots10New OrleansLAJim McMahonTony EasonRichard Dent
1984XIXSan Francisco 49ers38Miami Dolphins16StanfordCAJoe MontanaDan MarinoJoe Montana
1983XVIIILos Angeles Raiders38Washington Redskins9TampaFLJim PlunkettJoe TheismannMarcus Allen
1982XVIIWashington Redskins27Miami Dolphins17PasadenaCAJoe TheismannDavid WoodleyJohn Riggins
1981XVISan Francisco 49ers26Cincinnati Bengals21PontiacMIJoe MontanaKen AndersonJoe Montana
1980XVOakland Raiders27Philadelphia Eagles10New OrleansLAJim PlunkettRon JaworskiJim Plunkett
1979XIVPittsburgh Steelers31Los Angeles Rams19PasadenaCATerry BradshawVince FerragamoTerry Bradshaw
1978XIIIPittsburgh Steelers35Dallas Cowboys31MiamiFLTerry BradshawRoger StaubachTerry Bradshaw
1977XIIDallas Cowboys27Denver Broncos10New OrleansLARoger StaubachCraig MortonRandy White [1]Co-MVP with Harvey Martin
1976XIOakland Raiders32Minnesota Vikings14PasadenaCAKen StablerFran TarkentonFred Biletnikoff
1975XPittsburgh Steelers21Dallas Cowboys17MiamiFLTerry BradshawRoger StaubachLynn Swann
1974IXPittsburgh Steelers16Minnesota Vikings6New OrleansLATerry BradshawFran TarkentonFranco Harris
1973VIIIMiami Dolphins24Minnesota Vikings7HoustonTXBob GrieseFran TarkentonLarry Csonka
1972VIIMiami Dolphins14Washington Redskins7Los AngelesCABob GrieseBilly KilmerJake Scott
1971VIDallas Cowboys24Miami Dolphins3New OrleansLARoger StaubachBob GrieseRoger Staubach
1970VBaltimore Colts16Dallas Cowboys13MiamiFLJohnny UnitasCraig MortonChuck Howley
1969IVKansas City Chiefs23Minnesota Vikings7New OrleansLALen DawsonJoe KappLen Dawson
1968IIINew York Jets16Baltimore Colts7MiamiFLJoe NamathEarl MorrallJoe Namath
1967IIGreen Bay Packers33Oakland Raiders14MiamiFLBart StarrDaryle LamonicaBart Starr
1966IGreen Bay Packers35Kansas City Chiefs10Los AngelesCABart StarrLen DawsonBart Starr

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References

References
1 Co-MVP with Harvey Martin
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A guide to Saturday’s games

The game of the day is in Tuscaloosa, as the #4 team in the SRS tries to ruin the perfect season of the best team in the country. Here’s a look at the weekly results for Alabama and Texas A&M, sorted from highest to lowest SRS score:

DateTeamPFOppPAH/RW/LDiffMOVSOSSRS
09-15-2012Alabama52Arkansas0RoadWin5239.542.782.2
09-01-2012Alabama41Michigan14Arlington TXWin2725.551.877.3
09-29-2012Texas A&M58Arkansas10HomeWin4834.542.777.2
10-13-2012Alabama42Missouri10RoadWin3229.547.376.8
09-15-2012Texas A&M48SMU3RoadWin453638.674.6
10-27-2012Alabama38Mississippi St7HomeWin312647.773.7
11-03-2012Texas A&M38Mississippi St13RoadWin252647.773.7
10-20-2012Alabama44Tennessee13RoadWin312944.773.7
10-27-2012Texas A&M63Auburn21RoadWin4234.537.672.1
09-08-2012Alabama35Western Kentucky0HomeWin352839.867.8
11-03-2012Alabama21LSU17RoadWin4757.164.1
09-29-2012Alabama33Mississippi14HomeWin191647.163.1
09-22-2012Alabama40Florida Atlantic7HomeWin332729.456.4
09-08-2012Texas A&M17Florida20HomeLoss-3-761.854.8
10-13-2012Texas A&M59Louisiana Tech57Shreveport LAWin2747.554.5
10-06-2012Texas A&M30Mississippi27RoadWin3747.154.1
09-22-2012Texas A&M70South Carolina St14HomeWin5638.514.553
10-20-2012Texas A&M19LSU24HomeLoss-5-857.149.1

Both teams blew out Arkansas in September and then embarrassed Mississippi State the last two weeks. Both Alabama and Texas A&M played their worst games of the year against LSU. The Aggies are a 13.5-point underdog, and it seems absurd to think that college football’s version of what it would look like if the Eagles and Chargers could have a baby could upend the mighty Crimson Tide, but it’s November. That generally means expect the unexpected.

Louisville @ Syracuse

The Cardinals look to keep their dream season alive in what looks to be an easy matchup on paper. Louisville is 9-0 and Syracuse is 4-5, so this should be a gimme, right? Except in Vegas, the line is just Syracuse -1.5. Many college football fans are calling this the oddest line of the week, but fans of the SRS would disagree. The SRS is predictive and doesn’t care about your record; it is intended to tell us how well teams will play in the future, and as a result, often mirrors the point spread in a game. Well, the SRS says Louisville should be favored by just 2.4 points despite the much more impressive record. You can view every college football game score here, which helps explain why Syracuse isn’t the pushover you might expect them to be. Syracuse has lost just one home game this season, a 42-41 game against Northwestern that ended in controversial fashion. Against the other cream of the conference, the Orange lost on the road by 8 against Rutgers and 11 against Cincinnati.

Meanwhile, Louisville beat Cincinnati at home by 3, and defeated North Carolina two months ago, but otherwise, doesn’t have any impressive wins on its resume. And it was only three weeks ago that Louisville was trailing in the final two minutes, at home, to South Florida. The Cardinals have played just three road games this season, against teams that are a combined 6-22. I think Vegas has this line appropriately placed; it’s close to a toss-up game, although I’d obviously favor the Cardinals.
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Here’s my weekly set of power ratings, according to a weighted version of the Simple Rating System:

RkTeamWLTalentPWAGOffDefSRSwpa_locwpa_vegwpa_1stwpa_2ndwpa_3rdwpa_4ot
1Chicago Bears710.65867.7%6.0-6.012.00.0000.9220.802-0.3490.4581.167
2San Francisco 49ers620.60562.3%0.3-11.511.70.0001.2350.0880.1890.576-0.087
3New England Patriots530.55366.7%9.6-1.010.7-0.0671.4080.7120.3040.368-1.724
4Houston Texans710.65864.1%4.1-5.69.70.1351.6480.0740.7800.2540.110
5Denver Broncos530.55350.1%6.0-3.39.30.0000.213-0.398-0.6040.2081.581
6New York Giants630.57560.4%7.8-0.68.40.0670.5280.2520.450-0.2070.410
7Green Bay Packers630.57566.0%6.6-0.67.20.0671.4310.7560.011-0.463-0.302
8Atlanta Falcons800.71175.4%3.8-3.27.10.0000.6880.7350.4840.4181.675
9Seattle Seahawks540.52550.1%-1.2-6.14.9-0.067-0.2920.770-0.4240.1510.362
10Tampa Bay Buccaneers440.50048.4%4.30.63.70.000-0.5540.831-0.2201.095-1.153
11Pittsburgh Steelers530.55363.6%-1.8-4.02.2-0.1350.6250.2480.2460.0070.010
12Dallas Cowboys350.44742.7%-1.5-3.62.1-0.1350.160-0.322-0.5750.531-0.658
13Carolina Panthers260.39531.6%-2.6-3.81.20.000-0.439-0.7660.8030.153-1.751
14Miami Dolphins440.50046.8%-2.4-3.41.0-0.135-0.3710.1581.2010.945-1.799
15Detroit Lions440.50049.6%2.82.00.8-0.1350.335-0.426-0.728-0.4811.435
16Baltimore Ravens620.60568.0%1.41.5-0.10.0000.678-0.1170.429-0.0371.047
17New Orleans Saints350.44753.8%4.45.3-0.90.0000.425-0.152-0.350-0.078-0.846
18Minnesota Vikings540.52544.9%-0.10.9-1.10.0670.2380.301-0.344-0.2830.520
19Washington Redskins360.42537.7%1.83.0-1.2-0.067-0.410-0.2210.3281.173-2.303
20New York Jets350.44748.7%0.11.8-1.70.135-0.642-0.396-0.278-0.5150.695
21San Diego Chargers440.50051.2%-3.3-1.4-1.90.0000.5380.6390.2740.319-1.771
22Arizona Cardinals450.47544.0%-5.7-3.2-2.50.067-0.935-0.356-0.125-0.3561.205
23St Louis Rams350.44738.0%-4.2-1.4-2.80.067-1.223-0.1240.027-0.2950.548
24Cincinnati Bengals350.44741.3%1.26.3-5.10.000-0.0440.6590.152-1.164-0.604
25Philadelphia Eagles350.44747.5%-6.1-0.6-5.50.0000.452-1.300-0.5860.675-0.241
26Indianapolis Colts530.55351.3%-4.11.7-5.80.135-0.8120.623-0.7970.3391.512
27Cleveland Browns270.37531.5%-6.80.4-7.20.067-1.406-0.514-0.7010.163-0.109
28Oakland Raiders350.44745.1%-0.37.3-7.50.000-0.298-0.1940.182-1.9581.268
29Buffalo Bills350.44738.4%-0.28.6-8.8-0.135-0.4750.1910.1150.035-0.731
30Jacksonville Jaguars170.34232.8%-9.12.6-11.70.000-1.202-0.242-0.449-0.187-0.921
31Tennessee Titans360.42541.6%-2.010.2-12.10.067-1.401-0.9790.688-0.7050.830
32Kansas City Chiefs170.34236.9%-8.86.3-15.00.000-1.021-1.332-0.132-1.1400.626

KEY:
Talent – Regressed WPct talent for 2012; Talent = (W + 5.5) / (G + 11)
PWAG – Probability of Winning Any Game
Off – Offensive SRS (positive = better)
Def – Defensive SRS (negative = better)
SRS – Simple Rating System (Off + Def)
wpa_loc – Win Probability Added from location of games
wpa_veg – Win Probability Added from Vegas lines
wpa_1st – Win Probability Added in 1st quarter
wpa_2nd – Win Probability Added in 2nd quarter
wpa_3rd – Win Probability Added in 3rd quarter
wpa_4ot – Win Probability Added in 4th qtr/overtime

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November 3rd has been circled on the calendars of college football fans for nearly a year. Unfortunately, the two biggest games of the day — Alabama/LSU and Oregon/USC — will compete for the eyeballs of the nation. The Ducks and Trojans kick off at 7PM on the East Coast, with the Crimson Tide stealing our attention one hour later. Making matters worse, the #3 team in the country will be playing in the 8PM time slot, too, as Kansas State hosts Oklahoma State. So with a lot of interesting games this weekend, I thought I’d take a look at my thoughts on each game involving an eligible, undefeated team on Saturday in relation to two key metrics: the SRS ratings and the Vegas lines. I’ll also make heavy use of the Game Scores page, which lists every game from this season for all FBS teams.

Temple at Louisville, 12PM (all times Eastern)

Louisville SRS: 43.7
Temple SRS: 31.5
Projected SRS line: Louisville -15.2
Actual line: Louisville -16.5

Temple had been respectable early this year (minus an ugly home loss to Maryland) but has been miserable the last two weeks, likely driving this line up. The Owls were up 10-0 at halftime being being routed 35-10 by Rutgers at home two weeks ago, and then last week lost by 30 at a terrible Pittsburgh team. Louisville is not great, but they should be able to handle Temple with ease. No thoughts on the point spread, though, which seems right to me.

Pittsburgh at Notre Dame, 3:30PM

Notre Dame SRS: 63.1
Pittsburgh SRS: 37.5
Projected SRS line: Notre Dame -28.6
Actual line: Notre Dame -16.5

Why is this line the same as Louisville-Temple? The only explanations I can think of are: (1) Pittsburgh just played its best game of the week (SRS score of 57.0) in a win over Temple and (2) Notre Dame hasn’t earned the public’s trust just yet. But with the exception of a squeaker over Purdue in week two, the Fighting Irish have been very good each week. They beat Michigan State by 17 (SRS score of 67.5), Michigan by 7 (58.2), Miami by 38 (73.0), Stanford by 7 (60.8), BYU by 3 (51) and Oklahoma by 17 (82.9). Maybe some of those scores are a little inflated — the Hurricanes have several drops and an injured quarterback, the Stanford game was in overtime, the Oklahoma game was closer than the score — but that’s picking nits, in my opinion. This is a ridiculously good defense playing a Pittsburgh team that scored 20 points in its last road game, which was at Buffalo. The Panthers were horrrrrrrrible with probably more Rs than that the first two weeks of the season, losing to FCS Youngstown State and Cincinnati by a combined 38 points. But even if we threw those games out, the SRS would still say the Fighting Irish should be favored by at least three touchdowns.

The pick: Notre Dame -16.5

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Neil once pointed out, that you can approximate a team’s odds of winning a game by using the point spread and the following formula:

p(W) = 1 – (1-NORMDIST(0.5,SPREAD,13.86,TRUE))+0.5*(NORMDIST(0.5,SPREAD,13.86,TRUE)-NORMDIST(-0.5,SPREAD,13.86,TRUE))

For college football games, there is research by Wayne Winston and Jeff Sagarin that the standard deviation in the above formula should be 16 instead of 13.86. One of the nice things about the SRS is that it comes very close to approximating the point spread in each game. If we give 3 points to the home team, we can then approximate each team’s likelihood of winning in their remaining games.

For example, here is a look at Oregon’s remaining schedule and their likelihood of winning each game. Note that for now, I am assuming that the Ducks host the Trojans in the Pac-12 Championship Game:

TmOppLocSRS TmSRS OppProj SpreadWin Prob
OregonSouthern CalRoad65.953.9-8.971.2%
OregonCaliforniaRoad65.942.3-20.690.1%
OregonStanfordHome65.953.8-1582.6%
OregonOregon StRoad65.955.2-7.768.4%
OregonSouthern CalHome65.953.9-14.982.5%
Total29.9%

Winning five games in a row isn’t easy, even for a team as good as Oregon. With four difficult games left, the odds of them going 5-0 are just 29.9%. Things are much more favorable for Kansas State:

TmOppLocSRS TmSRS OppProj SpreadWin Prob
Kansas StOklahoma StHome66.352.5-16.985.4%
Kansas StTCURoad66.346.2-17.185.7%
Kansas StBaylorRoad66.346-17.486.1%
Kansas StTexasHome66.352.1-17.285.9%
Total54.1%

The Big 12 has some good teams, but Kansas State appears to be an elite one. My gut tells me the SRS is underrating the likelihood of one of those teams pulling off an upset, but there’s no doubt that Kansas State would be a double-digit favorite against each of those teams right now. Of course, one thing the SRS ignores in all of these instances is the possibility of a key injury affecting any team.

Notre Dame has a history of dropping games to bad teams, but I don’t think there’s much of a chance the Fighting Irish lose any of their next three games. That means the USC game should have national title implications:

TmOppLocSRS TmSRS OppProj SpreadWin Prob
Notre DamePittsburghHome63.137.2-28.996.5%
Notre DameBoston CollegeRoad63.131.1-29.196.5%
Notre DameWake ForestHome63.127.9-38.399.2%
Notre DameSouthern CalRoad63.153.9-6.265.1%
Total60.1%

There is only a 10% chance (29.9% * 54.1% * 60.1%) that Oregon, Kansas State and Notre Dame all finish the season undefeated, at least according to the assumptions in this post. If you want to look at how all three teams got here, you can check all the NCAA game scores here.

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Here are the current SRS Ratings, weighted for the recency of each game, along with each team’s quarter-by-quarter Win Probability Added (WPA) so far this season:

RankTeampfr_idOSRSOSOSDSRSDSOSSRSSOSwpa_locwpa_vegaswpa_1stwpa_2ndwpa_3rdwpa_4th/ot
1Chicago Bearschi7.91.08.0-1.415.9-0.4-0.0680.4760.1280.0170.7290.219
2San Francisco 49erssfo-0.2-0.111.42.211.22.00.0680.956-0.0660.0590.566-0.083
3Houston Texanshtx6.9-1.04.2-0.211.1-1.20.0681.419-0.0380.9430.127-0.020
4Green Bay Packersgnb7.53.92.81.910.45.7-0.0680.9260.596-0.011-0.446-0.498
5New York Giantsnyg7.71.62.3-1.610.0-0.10.0680.351-0.0600.2780.0290.834
6Denver Broncosden5.2-0.11.61.56.81.40.000-0.060-0.644-0.8160.1831.338
7New England Patriotsnwe7.4-0.4-0.7-0.36.7-0.7-0.0681.2090.737-0.0170.363-1.724
8Seattle Seahawkssea-2.74.18.70.75.94.8-0.068-0.3350.708-0.588-0.0940.877
9Atlanta Falconsatl2.5-2.53.2-1.25.7-3.60.0000.6320.5250.1990.4041.240
10St Louis Ramsram-2.22.65.21.93.04.60.068-1.039-0.1430.348-0.2830.550
11Minnesota Vikingsmin-0.6-1.33.2-1.32.6-2.60.0680.2110.835-0.3620.0750.673
12Washington Redskinswas5.80.6-3.21.92.62.5-0.068-0.3810.1720.6971.235-2.155
13Dallas Cowboysdal-0.73.32.51.51.74.9-0.1360.365-0.216-0.3590.0510.295
14Arizona Cardinalscrd-4.61.25.0-1.10.40.10.068-0.452-0.0850.088-0.3311.212
15Miami Dolphinsmia-2.90.43.1-0.90.2-0.50.000-0.549-0.0110.7261.272-1.436
16Tampa Bay Buccaneerstam-0.6-2.70.80.50.1-2.20.136-0.5310.583-0.2760.276-1.188
17New York Jetsnyj0.00.60.11.00.11.50.068-0.605-0.080-0.084-0.4950.695
18Baltimore Ravensrav0.2-0.8-1.5-1.1-1.3-1.90.0680.536-0.4520.5870.0570.705
19New Orleans Saintsnor5.6-0.7-7.2-0.4-1.6-1.20.0000.552-0.193-0.476-0.019-0.864
20Detroit Lionsdet4.92.9-6.5-2.4-1.60.5-0.0680.249-0.313-0.833-0.3530.819
21Pittsburgh Steelerspit-2.5-2.60.1-1.3-2.4-3.9-0.1360.700-0.0270.2900.163-0.991
22San Diego Chargerssdg-2.3-3.8-0.4-0.1-2.7-3.90.0000.2020.7530.2140.294-1.463
23Carolina Pantherscar-4.11.50.71.4-3.42.90.136-0.246-0.8330.124-0.212-0.968
24Philadelphia Eaglesphi-6.6-0.62.50.3-4.0-0.40.0000.466-0.675-0.2960.729-0.224
25Indianapolis Coltsclt-3.20.7-3.1-0.4-6.30.30.136-0.5920.446-0.291-0.0660.367
26Cincinnati Bengalscin-0.9-1.2-5.7-2.6-6.7-3.8-0.0680.0090.7620.304-1.197-0.311
27Cleveland Brownscle-5.1-3.0-2.6-0.1-7.7-3.1-0.068-1.153-0.411-0.8000.161-0.229
28Oakland Raidersrai-3.40.6-6.6-1.5-10.0-0.90.000-0.368-0.3900.014-1.5291.272
29Buffalo Billsbuf1.10.0-11.1-1.9-10.0-1.9-0.068-0.3030.313-0.0340.180-0.589
30Tennessee Titansoti-3.0-1.6-8.42.1-11.40.5-0.068-1.194-0.5960.449-0.6671.576
31Jacksonville Jaguarsjax-8.8-0.3-3.31.0-12.10.80.000-0.647-0.229-0.144-0.227-0.754
32Kansas City Chiefskan-8.9-2.6-6.11.0-15.0-1.60.000-0.802-1.0940.049-0.9770.823
{ 7 comments }

Here are the current SRS Ratings, using the recency-weighted system I described on Monday:

RankTeampfr_idOFFSRSOFFSOSDEFSRSDEFSOSSRSSOS
1Chicago Bearschi7.50.27.6-1.915.1-1.8
2New York Giantsnyg9.93.12.8-1.712.71.4
3San Francisco 49erssfo-0.10.110.92.010.82.1
4New England Patriotsnwe8.90.2-0.3-0.68.6-0.4
5Green Bay Packersgnb5.32.02.01.67.33.7
6Seattle Seahawkssea-2.63.99.11.16.45.0
7Houston Texanshtx4.4-1.31.5-1.55.9-2.8
8Denver Broncosden4.5-1.01.01.05.50.0
9Atlanta Falconsatl1.8-3.33.5-0.75.2-4.0
10Tampa Bay Buccaneerstam-0.6-1.84.41.63.8-0.2
11St Louis Ramsram-2.82.26.61.53.83.7
12Dallas Cowboysdal1.45.12.03.03.58.1
13Baltimore Ravensrav1.4-1.52.0-0.93.4-2.5
14Arizona Cardinalscrd-3.71.75.5-0.81.80.8
15Washington Redskinswas7.41.0-5.8-0.21.60.8
16Minnesota Vikingsmin-2.3-3.72.9-0.50.7-4.2
17Miami Dolphinsmia-2.70.42.3-1.5-0.4-1.1
18Detroit Lionsdet5.32.9-7.5-3.5-2.2-0.6
19Carolina Pantherscar-2.32.7-0.12.1-2.34.8
20New York Jetsnyj-2.1-0.5-0.7-0.2-2.8-0.8
21Philadelphia Eaglesphi-6.5-0.73.71.6-2.81.0
22San Diego Chargerssdg-2.4-4.0-1.6-1.1-4.0-5.1
23Cincinnati Bengalscin0.2-1.9-4.9-1.6-4.7-3.5
24Pittsburgh Steelerspit-2.1-2.4-2.7-3.1-4.8-5.5
25New Orleans Saintsnor2.6-2.3-7.60.0-5.0-2.3
26Cleveland Brownscle-2.1-1.8-3.11.3-5.2-0.5
27Buffalo Billsbuf1.01.3-9.4-1.0-8.40.4
28Indianapolis Coltsclt-2.01.5-6.7-0.5-8.61.0
29Oakland Raidersrai-4.60.6-6.20.0-10.90.6
30Kansas City Chiefskan-7.4-1.2-6.60.6-14.0-0.7
31Jacksonville Jaguarsjax-10.60.1-3.41.7-14.01.8
32Tennessee Titansoti-5.1-1.2-8.91.7-14.00.5

Also, just for fun, here’s how SRS sees this weekend’s games going (with the Vegas lines and over/unders for comparison’s sake):

game_idyear_idgame_datehome_teamsrsaway_teamsrsvegas_linevegas_o/usrs_linesrs_o/u
201210220chi201210/22/2012chi15.1det-2.2-5.047.5-19.658.9
201210210nyg201210/21/2012nyg12.7was1.6-6.550.0-13.566.5
201210210buf201210/21/2012buf-8.4oti-14.0-3.046.5-7.960.3
201210210tam201210/21/2012tam3.8nor-5.03.049.5-11.151.4
201210210min201210/21/2012min0.7crd1.8-6.040.5-1.231.8
201210210clt201210/21/2012clt-8.7cle-5.2-3.045.01.251.9
201210210cin201210/21/2012cin-4.7pit-4.82.546.0-2.452.0
201210210nwe201210/21/2012nwe8.6nyj-2.8-10.547.5-13.854.0
201210210ram201210/21/2012ram3.8gnb7.35.544.51.240.1
201210210rai201210/21/2012rai-10.9jax-14.0-4.043.0-5.540.7
201210210car201210/21/2012car-2.4dal3.52.045.53.543.5
201210210htx201210/21/2012htx5.9rav3.4-6.048.0-4.848.5
{ 7 comments }

College Football BCS odds

Before today’s games, I figured we could take a second to look at the latest odds to win the BCS Championship:

TeamOddsPerc
Alabama7/529.2%
Oregon7/215.6%
West Virginia6/110%
South Carolina7/18.8%
Florida8/17.8%
USC8/17.8%
Kansas State15/14.4%
LSU18/13.7%
Notre Dame20/13.3%
Oklahoma50/11.4%
Georgia50/11.4%
Florida State50/11.4%
Louisville100/10.7%
Field (Any Other Team)100/10.7%
Texas100/10.7%
Clemson200/10.3%
Baylor300/10.2%
Mississippi State300/10.2%
Stanford500/10.1%
Tennessee500/10.1%
BYU500/10.1%
Oklahoma State500/10.1%
Arizona State500/10.1%
Michigan500/10.1%
Wisconsin500/10.1%
Michigan State500/10.1%
TCU500/10.1%
Texas A&M500/10.1%
Nebraska500/10.1%
Washington500/10.1%
North Carolina State500/10.1%
Iowa500/10.1%
Boise State500/10.1%
UCLA500/10.1%
Cincinnati500/10.1%

[continue reading…]

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We don’t know anything and we never will

Five weeks in, you start to hear NFL experts trade their preseason overconfidence for regular season overconfidence. It’s tempting to fall into the trap thinking that with over a quarter of the season in the books, now we have an idea of how the rest of the regular season will unfold.

It’s tempting, but it’s not really true. The best way to measure whether someone knows what they’re talking about is to see if their predictions come true. Fortunately for us historians, each game a group of experts predict what will happen every week — it’s called the point spread.

Assuming we actually learn something each week, then the point spreads should reflect the actual results as the leaves change colors. But do they?

I looked at the point spread for all regular season games from 1988 to 2011. Now the question becomes how do we measure if a point spread was “right”? If the Texans are favored by 7 to beat the Bengals, and they win by 10, is that a “good” projection?

The simplest way to test this is to see the difference between the actual result and the projected result. The line that was most “off” in the database came two years ago. Likely due to the genius of Josh McDaniels, the Raiders were 7-point underdogs in Denver in 2010, but won the game 59-14. So in that game, the line was off by 52 points. Last year, the 49ers were 3-point favorites at home against Tampa Bay, but won by 45 points; that line was “off” by 42 points.

One interesting sidenote: you might think that big lines are more likely to be off by bigger margins than small lines. But that’s not really the case. The standard deviation of “how much a line is off by” is roughly 8 points regardless of the spread. It’s not exact, of course, but for our purposes, we can work under the assumption that lines are generally equally likely to be off by the same amount regardless of the spread.

Anyway, back to the point of the post. How accurate are lines early in the year? In week 1, the spreads are generally a little tighter than they are the rest of the way; perhaps the oddsmakers are just as unsure as the rest of us. But no matter what week it is, the lines are always off by about 10 points per week. Take a look. The table below shows how much the lines were off by, on average, in weeks 1 through 17 from 1988 to 2011. In the last column, I’ve shown the percentage of games where the line was within 10 points of the actual result.

wk#gmsSpreadLineOffw/i 10pts
13624.710.760%
23615.210.558%
33405.610.456%
43225.510.956%
53195.21064%
63155.41060%
73155.610.957%
83155.510.659%
93265.310.559%
103395.610.157%
113585.69.461%
123625.71062%
133635.410.159%
14360610.859%
15363610.957%
163635.710.957%
173355.710.461%

It’s tempting to think we know more once we see more, but that’s unfortunately not the case. Of course, if it was, it would be easy to make money gambling on football.

For those curious, week 12 of the 2003 season was as close as Vegas has ever come to perfection. Look at how close these lines were to the actual results (as always, the boxscores are clickable):

GameYrFavUnderlineFavPtsUnPtsLineOff
2003 rav -3 vs. sea2003ravsea344410
2003 tam -6 vs. nyg2003tamnyg619130
2003 clt -3 vs. buf2003cltbuf317140
2003 min -10.5 vs. det2003mindet10.524140.5
2003 oti -6.5 vs. atl2003otiatl6.538310.5
2003 nyj -4 vs. jax2003nyjjax413101
2003 dal -3 vs. car2003dalcar324201
2003 nwe -5 vs. htx2003nwehtx523202
2003 cin -3 vs. sdg2003cinsdg334274
2003 ram -7 vs. crd2003ramcrd730274
2003 mia -7 vs. was2003miawas724236
2003 gnb -3.5 vs. sfo2003gnbsfo3.520106.5
2003 phi -5.5 vs. nor2003phinor5.533207.5
2003 kan -11 vs. rai2003kanrai1127248
2003 cle -3 vs. pit2003clepit361310
2003 den -10.5 vs. chi2003denchi10.5101919.5

What about the other side of the coin? Vegas was really, really, really off in week 17 of the 1993 season. Just so you know, 1993 was the year the NFL tried the double-bye week approach resulting in an 18-game season, so this was really like a week 16 most years:

GameYrFavUnderlineFaPtsUnPtsLineOff
1993 nwe -6 vs. clt1993nweclt638032
1993 cle -2 vs. ram1993cleram2421426
1993 gnb -3 vs. rai1993gnbrai328025
1993 sdg -1 vs. mia1993sdgmia1452024
1993 kan -3 vs. min1993kanmin3103023
1993 den -13.5 vs. tam1993dentam13.5101720.5
1993 dal -17 vs. was1993dalwas1738318
1993 nyg -3 vs. crd1993nygcrd361714
1993 pit -3 vs. sea1993pitsea361613
1993 sfo -7.5 vs. oti1993sfooti7.571010.5
1993 chi -3 vs. det1993chidet314209
1993 phi -3 vs. nor1993phinor337268
1993 atl -3.5 vs. cin1993atlcin3.517217.5
1993 buf -7 vs. nyj1993bufnyj716145
{ 8 comments }

How predictive is 4th quarter play?

Last week, Neil had a fascinating post on how each team’s win probability has varied by quarter over the last 35 years. The 2004 Pittsburgh Steelers were the poster child for wins added during the 4th quarter and overtime. Pittsburgh went 15-1, which means they exceeded the league average by 7 wins (the average team, of course, goes 8-8). So how did Pittsburgh go about getting those extra 7 wins?

The table below lists all 16 regular season games for the Steelers. The fifth column shows the point spread before the game, and the sixth column assumes that the home team has a 57.9% chance of winning every game. Of course, that’s going to be modified by the actual point spread, so the next column shows the win probability added based on the Vegas line. This is neutral of the home field WP, and the “wpa bg” column shows the total win probability of the team before the game. So when the Steelers hosted the Raiders in week 1, they were a 3.5-point home favorite, which meant they had a 60% chance of winning. The next four columns show how much win probability was added by the end of each quarter.

WkOppPFPALinewpa_locwpa_vegwpa bgwpa_1stwpa_2ndwpa_3rdwpa_4thwpa_tot
1rai2421-3.57.9%2.1%60.0%18.9%2.5%14.3%4.4%100.0%
2rav13304-7.9%-3.5%38.7%-18.4%-13.9%-6.2%-0.1%0.0%
3mia1332.5-7.9%0.7%42.8%10.9%3.3%21.0%22.0%100.0%
4cin2817-47.9%3.5%61.3%-1.5%13.1%-34.3%61.3%100.0%
5cle3423-4.57.9%4.9%62.7%10.3%22.1%4.6%0.3%100.0%
6dal24203-7.9%-0.7%41.4%1.1%1.4%-37.8%93.9%100.0%
8nwe342037.9%-16.4%41.4%49.1%-0.6%10.0%0.2%100.0%
9phi2731.57.9%-12.2%45.7%40.1%10.3%3.8%0.1%100.0%
10cle2410-3.5-7.9%17.8%60.0%11.0%19.4%5.3%4.4%100.0%
11cin1914-4-7.9%19.2%61.3%-14.7%-4.8%29.8%28.2%100.0%
12was167-107.9%18.6%76.5%4.4%15.8%-7.7%11.1%100.0%
13jax1716-3-7.9%16.4%58.6%-1.1%23.3%-20.7%40.1%100.0%
14nyj176-4.57.9%4.9%62.7%7.5%0.2%-13.9%43.6%100.0%
15nyg3330-10-7.9%34.3%76.5%-15.0%25.4%-28.3%41.5%100.0%
16rav207-57.9%6.2%64.1%-1.8%9.0%23.5%5.3%100.0%
17buf29249.5-7.9%-17.5%24.7%11.9%18.5%-23.7%68.6%100.0%
Total0.00.88.81.11.4-0.64.215.0

For a 15-1 team, the Steelers were rarely heavy favorites; in fact, based on the point-spread in each game, Vegas would have expected Pittsburgh to win only 8.8 games. And while the Steelers played well in the first half, the main reason they achieved their lofty record was their 4th quarter performance. In fact, over half of their wins over average could be attributed to their great 4th quarter play. To put it another way, if you turned off every Pittsburgh game in 2004 right at the end of the 4th quarter, you would have guessed that the Steelers would win only 11.8 games.

That may not mean much in the abstract, but let’s compare the Steelers to the other teams with 15+ wins in NFL history:
[continue reading…]

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