Most Predictable Quarterback Stats (2020 Update)
When projecting player stats, it can be tempting to simply look at the previous season as a sign of things to come and build expectations accordingly. While this can be a valuable exercise, if the analysis is predicated on the wrong stats, the effort will be all for naught.
This study will shed some light on which commonly referenced stats are the most reliable indicators of future quarterback performance, as well as which commonly referenced stats might be misleading.
This article has been updated to reflect data through 2019.
Quarterback Predictability Methodology
This study considered 13 common quarterback per-game statistics for quarterbacks who started at least 10 games in consecutive years. The decision to use per-game stats is based on the fact that total games played are extremely unpredictable for all positions—quarterbacks with an ADP in the top 200 over the last 10 years saw a year-to-year correlation of .05 for games played. Therefore, all year-long volume stats showed very little year-over-year correlation. Using this methodology, the sample is 198 quarterbacks who meet the criteria over the last 10 seasons.
The table below lists the year-to-year correlations for 13 separate quarterback stats using the methodology described above.
With an understanding of why per-game stats correlate so strongly from year to year, we can take a closer look at which are the most reliable in predicting the upcoming season for a given quarterback.
Of the per-game volume stats, passing yards are the strongest from year to year. All of the other per-game volume numbers (pass attempts per game, fantasy points per game, and touchdowns per game) have a moderate year-to-year correlation, but it's not to the point where you'd look at the previous season's numbers and feel comfortable projecting those numbers forward.
Also, note that touchdowns carry so much weight when it comes to fantasy scoring that their relatively low year-to-year correlation brings down the correlation for fantasy scoring as well.
The Smart Way to Use Efficiency
The relatively weak year-to-year correlations of the efficiency metrics lend some insight into why yardage is so predictable even though attempts might fluctuate from one year to the next. In fact, other than completion percentage, we cannot rely on any of the commonly referenced efficiency metrics, such as yards per attempt, touchdown rate or interception rate, as predictable stats based on the previous season's data.
Consider the yearly touchdown rates of Russell Wilson, who ranks tops among active quarterbacks in career touchdown rate (6.0%, minimum 40 games) and is widely regarded as one of the most efficient quarterbacks in the league:
Even the most efficient quarterbacks can have some huge swings in their touchdown-scoring tendencies from year to year—we've seen Wilson with touchdown rates as high as 8.2% and as low as 3.8% over the course of a season. As such, the best application of efficiency metrics is probably to use the past season's data to gauge whether or not a quarterback is due for regression (be it positive or negative) to the league average, or to his individual average if there's a large enough sample.
Beware of Rushing Numbers
The fact is that most quarterbacks don’t run very much, so the majority of them are always going to have very low rushing totals from one year to the next—this explains the very strong correlation of rushing yards from year to year. If we narrow the sample down to quarterbacks who rushed for 200 or more yards in a season, the correlation drops to .57. Quarterbacks who rushed for 300 or more yards in a season saw a correlation of just .45, while the 21 quarterbacks that rushed for 400 or more yards in a single season since 2010 saw a statistically insignificant year-to-year correlation of .31.
We see the same effect when looking at rushing touchdowns. If a quarterback scored at least four in a given season, the rushing touchdown correlation fell to just .35.
Whether you're projecting player stats for an entire season or a single week, there are countless factors to consider outside of what happened in the past. During the offseason, though, numbers from the previous year are often the only hard data that we have to point to. Those numbers can be used as a reliable point of reference when the right factors are considered, and we now have an understanding of which stats are a sign of things to come for quarterbacks, as well as which ones might not serve as a future indicator.