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Which QB stats can you actually predict in fantasy football?

Special to Yahoo Sports

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 2020

Quarterback Predictability Methodology

This study considered 12 common per-game statistics for quarterbacks who played 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 relatively little year-over-year correlation.

Using this methodology, the sample is 207 quarterbacks who meet the criteria over the last 10 seasons.

The table below lists the year-to-year correlations for 12 separate quarterback stats using the methodology described above:

Year-to-year correlations for QBs, 2011-2020 (Photo by

Year-to-year correlations for QBs, 2011-2020 (Photo by

Interpreting Volume

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.

Understanding Rushing Numbers

The fact is that there are still many quarterbacks who don’t run very much, leading to 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 15 or more yards per game, the correlation drops to 0.65. Quarterbacks who rushed for 20+ yards per game saw a correlation of 0.61.

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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 0.35. While quarterbacks that never run are very predictable, mobile quarterbacks can see moderate fluctuations in their year-to-year numbers. Trying to accurately predict rushing touchdowns is nearly impossible.

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 expect any of the commonly referenced efficiency metrics (yards per attempt, touchdown rate, or interception rate) to remain static from one year to the next.

Consider the yearly touchdown rates of Russell Wilson, who ranks among the top active quarterbacks in career touchdown rate (6.2%) and is widely regarded as one of the most efficient quarterbacks in the league:

Russell Wilson year-to-year touchdown rate. (Photo by

Russell Wilson year-to-year touchdown rate. (Photo by

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 usually to use the past season’s data to gauge whether or not a quarterback is due for reversion (be it positive or negative) to the league average, or to his individual average if there’s a large enough sample.

Bottom Line

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.

TJ is a former full-time poker player who has been playing fantasy football for more than a decade. After online poker was outlawed, TJ ended his poker career and dedicated himself to fantasy football. His background in poker statistics and analytics translates to success in both daily and season-long fantasy football.

This article appeared in its full form on

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