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Red Zone Regression

84. 15. The gap between the two is therefore mostly luck, and mostly comes back, which makes the difference between how often a player was handed the ball inside the 20 and how often he actually scored one of the few genuinely predictive things in fantasy football.

How it works

3 touchdowns per 100 red zone touches, 2026.

Due to score more

Heavy red zone usage, few touchdowns. Buy.

PlayerTmTouchesTDExpDiff
Tyler AllgeierRBARI2314.4-3.4
Mike Washington Jr.RBLV1703.3-3.3
Braelon AllenRBNYJ2114.1-3.1
Ashton JeantyRBLV3446.6-2.6
Tyler GoodsonRBDAL1302.5-2.5
Chase BrownRBCIN1713.3-2.3
Kaelon BlackRBSF1202.3-2.3
Bijan RobinsonRBATL3246.2-2.2
Jaylen WarrenRBPIT1613.1-2.1
Denzel BostonWRCLE1102.1-2.1
Michael WilsonWRARI2023.9-1.9
Woody MarksRBHOU2023.9-1.9
Tony PollardRBTEN3045.8-1.8
Kenneth Walker IIIRBKC4478.5-1.5
Emanuel WilsonRBSEA1823.5-1.5
Roschon JohnsonRBCHI1312.5-1.5
Pierre StrongRBGB801.5-1.5
Quinshon JudkinsRBCLE2334.4-1.4
Kalif RaymondWRCHI701.4-1.4
Kendrick BourneWRARI701.4-1.4
Travis EtienneRBNO701.4-1.4
De'Von AchaneRBMIA701.4-1.4
Jeremiyah LoveRBARI1723.3-1.3
Josh JacobsRBGB1723.3-1.3
Jayden DanielsQBWAS601.2-1.2
KC ConcepcionWRCLE601.2-1.2
Justin HerbertQBLAC601.2-1.2
Ollie Gordon IIRBMIA2745.2-1.2
Cade OttonTETB601.2-1.2
Ja'Kobi LaneWRBAL601.2-1.2

Due to score less

Scored far above their usage. Sell.

PlayerTmTouchesTDExpDiff
Josh AllenQBBUF1883.5+4.5
Christian McCaffreyRBSF32106.2+3.8
Stefon DiggsWRWAS651.2+3.8
Pat FreiermuthTEPIT751.4+3.6
Tee HigginsWRCIN851.5+3.5
Isaiah LikelyTENYG1152.1+2.9
Jake FergusonTEDAL641.2+2.8
Javonte WilliamsRBDAL43118.3+2.7
Brock BowersTELV1252.3+2.7
Jaxon Smith-NjigbaWRSEA1352.5+2.5
Jameson WilliamsWRDET841.5+2.5
Kyle PittsTEATL841.5+2.5
Brian RobinsonRBATL841.5+2.5
Juwan JohnsonTENO941.7+2.3
Puka NacuaWRLA1552.9+2.1
Chuba HubbardRBCAR2675.0+2.0
Drake MayeQBNE631.2+1.8
Tyler WarrenTEIND631.2+1.8
George KittleTESF1242.3+1.7
Christian WatsonWRGB731.4+1.6
Davante AdamsWRLA731.4+1.6
Nico CollinsWRHOU731.4+1.6
Devaughn VeleWRNO731.4+1.6
Cody WhiteWRLV731.4+1.6
Justin JeffersonWRMIN831.5+1.5
T.J. HockensonTEMIN831.5+1.5
Emeka EgbukaWRTB831.5+1.5
James CookRBBUF3586.8+1.2
CeeDee LambWRDAL2053.9+1.1
Joe BurrowQBCIN1031.9+1.1

A caution worth stating: this measures opportunity against outcome, not talent. A player can score below his usage because he is genuinely poor near the goal line, and a tight end can beat it three years running. The gap regresses on average, which is a statement about the population and not a promise about any one player.