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.