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Fantasy Football TD Regression: How Touchdowns Regress and Why It Matters

The core of TD regression: touchdowns are largely random across players with similar red zone opportunity. A WR who scored 10 TDs on 7 red zone targets got lucky. A WR who scored 3 TDs on 18 red zone targets got unlucky. Their expected output next season is both closer to the league-average TD rate applied to their red zone targets.


TD Regression Quick Reference

Regression scenario Direction Trade action Mistake to avoid
High TD total on low red zone targets (9+ TDs, under 12 red zone targets) Negative regression — scoring outpaced opportunity; expect fewer TDs next season Sell-high candidate — ADP will rise based on last season’s TDs; future production will be lower Holding a player who scored 11 TDs on 7 red zone targets because “he knows how to score” — red zone targets, not TDs, predict future scoring
Low TD total on high red zone targets (under 5 TDs, 15+ red zone targets) Positive regression — opportunity exceeded scoring; expect more TDs next season Buy-low candidate — ADP will be suppressed based on last season’s low TD count; future scoring is higher Avoiding a player who had 15 red zone targets but only 4 TDs because “he can’t score” — he had the opportunity; the scoring was below-average by chance
WR with top-24 total built on TDs, not targets High negative regression risk — insufficient target volume to sustain a top-24 ranking without continued high TD rate Sell into the post-season ADP spike before the market discovers his target volume is WR3-level Drafting a TD-dependent WR at WR1 ADP going into the following season — sustainable WR1 production requires both target volume and TD equity
RB with goal-line role but inconsistent carries Variable — if the goal-line role is established, some positive TD regression is real; if the carries fluctuate, TDs will too Evaluate the stability of the goal-line role first; a secured goal-line role is a TD regression buy; a contested one is not Treating every goal-line RB as a regression candidate without confirming he is the clear, secure goal-line option
QB with high TD rate on low attempt volume Negative regression — TDs/attempt rates regress to league average; QBs with fewer attempts will score fewer TDs Note the efficiency metric but do not draft the QB at a premium based on his TD-per-attempt rate alone Expecting a QB who threw 35 TDs on 450 attempts to throw 35 TDs on 400 attempts — total TDs are more stable than TD rate; volume matters
Positive TD regression: how fast it hits Typically within 1–2 seasons — TD rates normalize across a 17-game season with a full red zone target distribution Act on buy-low candidates in the off-season before the market discovers the underlying usage Waiting until midseason to buy a regression candidate — by Week 6, if TDs are still not coming, the buy window may still be open, but patience is required

How to Identify Regression Candidates

High TD rate on low red zone usage. A WR who scored 9+ touchdowns but had fewer than 12 red zone targets is likely to see a lower TD total next season. His scoring outpaced his opportunity.

Low TD rate on high red zone usage. A WR who had 15+ red zone targets but scored fewer than 5 TDs is due for positive regression — his usage suggests more scoring than he received.


How to Use TD Regression in Fantasy Decisions

Sell players coming off inflated TD totals. A player finishing the season as a top-5 fantasy scorer primarily due to touchdowns — not yardage or target volume — is a sell-high candidate. His ADP will rise to reflect last year’s touchdowns; his actual future production will be lower.

Buy players coming off deflated TD totals. A player with strong target share and red zone usage who scored fewer touchdowns than expected is a value heading into the following season. His ADP will be suppressed; his upside is higher than his rank suggests.

For how TD regression connects to season-over-season analysis, see: Fantasy Football Regression: How Regression to the Mean Affects Fantasy Production.