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Negative Regression

Negative regression is when a player's stats are expected to drop because his recent results were better than his underlying performance suggests they should have been.

In fantasy football, negative regression means a player who has been producing big numbers is likely to slow down because those numbers were driven by luck rather than repeatable skill. Common warning signs include an unusually high touchdown rate, a very high share of his team's touchdowns, dropped passes or turnovers that went uncaptured in the box score, or a scoring pace that is way above anything he has done before. Regression simply means drifting back toward a player's normal level, and when a player has been far above that level, the drift is usually downward.

The key idea is that extreme outcomes in either direction tend not to last. A wide receiver who catches a touchdown on a huge percentage of his catches, or a quarterback who throws far more touchdowns than his yardage would suggest, is a classic candidate to come back down to earth. Fantasy managers use negative regression to decide whether to sell high on a hot player before his numbers cool off, and to avoid overpaying in trades for someone whose stats look better than his play actually has been.

Negative regression is not a guarantee that a player will collapse. It just means the odds lean toward a drop-off because luck has been running in his favor. Some players sustain great seasons because their role, talent, and opportunity genuinely improved. The trick is separating real growth from good fortune, which is why managers look at the underlying stats rather than just the fantasy points.

Common questions

How is negative regression different from a player just getting worse?

Negative regression is about luck evening out, not a player losing skill or opportunity. It happens when someone's results have outrun what his underlying performance supports, so the stats drift back toward his normal level.

What stats hint that a player is due for negative regression?

Look for unusually high touchdown rates, a player scoring a very large share of his team's touchdowns, strong box-score numbers despite poor efficiency, or a scoring pace well beyond anything in his track record.

Should I trade a player who is a negative regression candidate?

It can be smart to sell high if another manager values the hot streak at face value. Just remember regression is a tendency, not a promise, so consider whether the player's role and usage have genuinely improved before dealing him.

Related terms

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