We’re back at it with quarterback rankings based on Total Adjusted Yards per Play and its abundant offspring. This time, we’re getting into combined regular and postseason stats for single seasons. For the purposes of this article, I will refer to this as a full season. None of the stats are new and have been explained in what I hope is sufficient detail in previous posts. ^[1]Here are links for the base methodology, the introduction of Z Value and positive value, the methodology and refinement of championship leverage, and a brief explanation of retroactive leverage. Fun … Continue reading As fun as it would be to call this “the greatest quarterback seasons in history!” or something like that, I seem to have a deeply held grudge against page views and web traffic, because I can’t get behind calling it anything of the sort. This is one measure of how much quarterbacks produced in a given full season. I believe it is the best measure when trying to compare across eras in which superior metrics don’t exist, but that’s about as far as I can go on the hubris tip. Anyway, these are my numbers. I hope you like them. [continue reading…]

We have already looked at postseason performance in single games and single seasons. Today, we’re finally having a go at full playoff careers. All of the metrics I am using today have been explained, in great detail, in the previous four posts, so I am not going to belabor the point here. I will, however, remind the reader that Total Adjusted Yards per Play, and its many variants, is just one approach to measuring quarterback performance. It doesn’t account for weather, and it is not adjusted for the strength of opposing defenses (not yet, at least). Moreover, these numbers are based on box score stats and do not include more granular information, like time on the clock, field position, and yards to go on a set of downs. A four yard pass on 1st and 10 is much less valuable than a four yard pass on 3rd and 3, but TAY/P treats them equally. This is by design, because the goal of this metric is to do the best possible job of comparing quarterbacks across eras. I can’t do that with DVOA or EPA/P, because the play by play data just don’t go back far enough. However, when I looked into the correlations of TAY/P with more granular metrics, the r value tended to land between .93 and .94 (even for ESPN’s QBR, with its often wacky use of win probability). This suggests, to me, that most of these issues smooth themselves over in the long run. [continue reading…]

Yesterday, we looked at playoff performance in individual playoff games, as measured by Total Adjusted Yards per Play (and its copious derivatives). Today, I’m taking the next logical step and looking at performance over a full postseason in any given year. In other words, instead of examining who produced the most in the Super Bowl last year, I am determining who produced the most over the entire 2020 playoffs. By that, I mean who produced the most as measured by this particular set of numbers. They happen to be my preferred numbers for comparing across eras, but your mileage may vary.

For the uninitiated, here is a brief rundown of the metrics used:

Total Adjusted Yards per Play is like ANY/A with rushing included. It is (pass yards -sack yards + rush yards + 20*pass TDs + 20*rush TDs – 45*interceptions – 25*fumbles) / (passes + sacks + rushes). This version of TAY/P doesn’t include first downs, since I only have reliable first down data back to 1991 and want to make the playing field as level as possible when comparing back to 1936. [continue reading…]

Before the 2021 season starts, I figured I would try to add a little more to the Total Adjusted Yardage information I have been posting. Today, I want to discuss the same stats as before, as well as a few additions, for every postseason game in which a quarterback had at least five action plays. Not all information is complete, as sacks are unavailable prior to 1948. However, I’m working with what I have and not looking back. ^[1]If you want to look at all the raw data, including quarterbacks with just one plays, you can check out this Google sheet. Because this is the postseason, it is inherently worth more with regard to both earning a championship and establishing one’s legacy. Therefore, I am going to include championship leverage in the discussion. I don’t have much to say, so let’s get to the numbers. [continue reading…]

Yesterday, we looked at the best (and worst) regular season performances, as measured by Total Adjusted Yards per Play and its many derivatives. Today, it’s time to look into total career values. Keep in mind, these figures don’t include the postseason, where many legends cemented or defined their legacies. We will get to that later, I promise.

Because I apparently hate driving traffic to the site, I will not title this anything to do with the greatest or best quarterback. Instead, I want to be honest about the fact that the results below are simply one measurement of career performance and are not meant to be definitive. I do believe it is the best approach I have seen when it comes to using numbers to compare quarterbacks across eras, but it isn’t perfect. When you see “Johnny Unitas,” what you are really seeing is Unitas, throwing to Raymond Berry, John Mackey, Lenny Moore, Jim Mutscheller, and Jimmy Orr, handing off to Alan Ameche, and standing behind Jim Parker and Bob Vogel, while glancing over at Weeb Ewbank and Don Shula standing on the sidelines. When you see “John Elway,” what you are really seeing is Elway throwing to a ragtag group of receivers, playing behind a ho hum offensive line, and under the tutelage of an unimaginative head coach during his prime, before getting basically the opposite of that late in his career. The average reader at Football Perspective has a good grip on both history and stat and should have little trouble contextualizing the numbers presented today. [continue reading…]

It has been a while since I published anything specifically relating to my niche homebrewed metric, Total Adjusted Yards per Play (TAY/P). It has been longer, still, since Chase has posted his latest entry into the corpus of his legendary QBGOAT series. I figured I would kill one bird and dizzy another with one stone. This post is specifically about TAY/P and its derivatives. It is not a treatise on the greatest quarterbacks of all time. Instead, it is a look at how several quarterbacks have fared in a few different variations of a single measurement since 1932. If you want to view it as a GOAT list, you are free to do so, though I would not encourage it. I believe statistics should be used to support your argument rather than serve as the entirety of your argument.

I am not under the delusion that this is the premier metric to use when evaluating quarterbacks. I prefer a holistic approach that includes everything from simple box score stats to convoluted algorithms and subjective grades. I consider EPA/P, DVOA, and Total QBR to be superior measurements. ^[1]CPOE is a useful stat when trying to get a better idea, from the numbers, who was more or less accurate than their actual completion rate may have indicated. ANY/A is good but only looks at … Continue reading The only problem is that they don’t cover a large enough portion of NFL history to make comparisons. Thus, I continue to use TAY/P because it uses simple box score numbers to create a metric that can compare quarterbacks dating back as far as we have box scores. ^[2]With some caveats. We have full stats dating back to 1967. Prior to that, we don’t have full sack and sack yardage information for the AFL. We have data for sack yardage lost in the NFL dating … Continue reading [continue reading…]