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NFL Anytime Touchdown Predictions: Week 8

Free, with no sign-up: each player's estimated chance to score a touchdown in Week 8, from red-zone usage, targets, carries, snaps, the matchup and the team's Vegas total. Fair price is the American price that matches our chance. Best price is the best we found at the books we track. Started games drop off. Not betting advice.

PlayerPosGameTD chanceFairBest priceTD games
D'Andre SwiftRBCHI vs SEA49%+106−11012/23
Jaxon Smith-NjigbaWRSEA vs CHI42%+135−10513/24
Emanuel WilsonRBSEA vs CHI33%+199+3755/24
Stefon DiggsWRWAS vs PHI31%+218+2157/22
Rachaad WhiteRBWAS vs PHI30%+230+1305/22
George HolaniRBSEA vs CHI30%+231+6502/11
Colston LovelandTECHI vs SEA30%+238+2357/23
Saquon BarkleyRBPHI vs WAS28%+261+1659/21
Dallas GoedertTEPHI vs WAS27%+265+2659/20
AJ BarnerTESEA vs CHI27%+273+2507/24
Treylon BurksWRWAS vs PHI26%+281+4753/13
Rome OdunzeWRCHI vs SEA24%+320+2655/19
Tory HortonWRSEA vs CHI21%+372+4105/14
Cooper KuppWRSEA vs CHI20%+388+3003/23
Jayden DanielsQBWAS vs PHI20%+389+2403/11
Luther Burden IIIWRCHI vs SEA19%+413+2304/22
Roschon JohnsonRBCHI vs SEA19%+418+3501/7
Antonio WilliamsWRWAS vs PHI18%+469+3301/6
Luke McCaffreyWRWAS vs PHI17%+478+35003/9
Makai LemonWRPHI vs WAS17%+500+3501/7
Caleb WilliamsQBCHI vs SEA17%+501+5505/21
Chig OkonkwoTEWAS vs PHI17%+506+3202/21
Darius CooperWRPHI vs WAS16%+541+4753/20
Jeremy McNicholsRBWAS vs PHI15%+573+4501/18
Austin EkelerRBWAS vs PHI14%+590+7000/5
Marquise BrownWRPHI vs WAS14%+630—4/18
Kalif RaymondWRCHI vs SEA11%+787+5753/22
Dyami BrownWRWAS vs PHI11%+826+7001/20
Jahdae WalkerWRCHI vs SEA10%+856+24003/14
Van JeffersonWRWAS vs PHI10%+894+30001/17
Elijah MitchellRBPHI vs WAS9%+1010+4250/2
Grant CalcaterraTEPHI vs WAS8%+1233+40001/16
John BatesTEWAS vs PHI7%+1379+19001/21
Elijah MooreWRPHI vs WAS6%+1498+22501/14
Eric SaubertTESEA vs CHI6%+1591+12001/18
Ben SinnottTEWAS vs PHI4%+2253+22501/22
Sam RoushTECHI vs SEA4%+2424+8500/7
Zavion ThomasWRCHI vs SEA4%+2495+13000/6
Tanner McKeeQBPHI vs WAS3%+3156+12000/6
Sam DarnoldQBSEA vs CHI3%+3322+7000/23

How good is the model?

Graded on 2,444 completed 2026 player-games using only what was known before each game: players scored 17.6% of the time against a predicted 18.0%, and the model separates scorers from non-scorers better than a plain usage baseline (AUC 0.746 vs 0.713). A touchdown is still unlikely for nearly everyone, so read these as chances, not calls.

More: the full Touchdown Model · this week's player props · methodology

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