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Who has to play well

Analysis

Every other player number on this site is a level — yards, EPA, a projection. This one is a slope: how far a team’s win probability moves between one of its players having a bad day and a good one. Week 4, 58 games, 762 offensive players.

It is not a prediction that anybody will play well. Per-play efficiency barely carries from one season to the next, so we do not forecast a player’s level and this page never tries to. What it measures is how much it matters.

PositionAllQBRBWRTE
#PlayerWin prob. swing
1Qwantavius WigginsRBGeorgia State vs Northern Illinois9.2
2Braylon McReynoldsRBUAB vs Navy7.5
3Jaheim MerriweatherRBTroy at Utah State7.2
4Micah FordRBStanford vs Georgia Tech6.9
5Jamal RuleRBNebraska at Michigan State6.8
6Devon RiceRBHawai'i at Wyoming6.5
7Cam CookRBWest Virginia vs Oklahoma State6.5
8Curtis Kimmons IVRBMassachusetts at Sacramento State6.3
9Wayne KnightRBUCLA at Maryland6.2
10Telly Johnson Jr.RBNorthern Illinois at Georgia State6.0
11Dylan RileyRBBoise State at Western Michigan6.0
12Trequan JonesRBTulsa at Arkansas5.8
13Keenan PhillipsRBSouth Alabama at Kentucky5.8
14Khamani AlexanderRBCharlotte vs Louisiana5.8
15Javion KinnardRBSan Diego State at Toledo5.8
16Sitani MikaeleRBHawai'i at Wyoming5.7
17Antonio MartinRBMiddle Tennessee at Jacksonville State5.7
18Roderick Robinson IIRBUAB vs Navy5.6
19Justice HaynesRBGeorgia Tech at Stanford5.6
20Deuce LawrenceRBWake Forest at Louisville5.3
21TJ HortonRBBall State at Kent State5.3
22Jai'Den ThomasRBUNLV at Akron5.0
23Tavorus JonesRBUTEP vs Oregon State5.0
24Gavin GriffinRBTroy at Utah State5.0
25Owen AllenRBAir Force at Nevada5.0
26Markell HolmanRBWyoming vs Hawai'i4.9
27Peyton JonesRBLiberty at Coastal Carolina4.8
28Jeremy PayneRBTCU at UCF4.8
29James JonesRBNew Mexico State vs New Mexico4.6
30Camryn EdwardsRBMichigan State vs Nebraska4.6
31Ty Clark IIIRBWake Forest at Louisville4.6
32Nick HermanRBJames Madison at Old Dominion4.5
33Javen JacobsRBUtah State vs Troy4.4
34Jordan GantRBAkron vs UNLV4.4
35Daylan SmothersRBTexas at Tennessee4.3
36Samuel HarrisRBWyoming vs Hawai'i4.2
37Adam MohammedRBCalifornia vs Clemson4.2
38Lucky SuttonRBSan Diego State at Toledo4.1
39Kam DavisRBLiberty at Coastal Carolina4.0
40Tre GarrisonRBOregon State at UTEP4.0
41PJ MartinRBSouth Alabama at Kentucky4.0
42Jamal RobertsRBMissouri at Mississippi State4.0
43Kirby VorheesRBWashington State vs Arizona3.9
44Evan DickensRBBoston College vs Virginia Tech3.9
45David MbadingaRBGeorgia Southern vs Houston3.9
46Duke WatsonRBUCF vs TCU3.8
47Sedrick AlexanderRBVanderbilt at Auburn3.8
48Solomon BaggettRBArkansas State vs Kennesaw State3.7
49Bryson RolandRBUL Monroe vs Florida Atlantic3.7
50Jalen BuckleyRBWestern Michigan vs Boise State3.6
51Abu Sama IIIRBWisconsin at Penn State3.6
52Kewan LacyRBOle Miss at Florida3.6
53Leonard FarrowRBFlorida Atlantic at UL Monroe3.6
54Jaylin LucasRBTulane vs Southern Miss3.6
55Jayden BrownRBColorado State at UTSA3.5
56Johnny Thompson Jr.RBBall State at Kent State3.5
57Keyjuan BrownRBLouisville vs Wake Forest3.5
58Lanear McCrary Jr.RBGeorgia State vs Northern Illinois3.5
59Rueben OwensRBTexas A&M at LSU3.5
60Aiden FloraRBIowa State vs Utah3.4
61Sire GainesRBBoise State at Western Michigan3.4
62Derrick JamesonRBUL Monroe vs Florida Atlantic3.4
63Kamari MoultonRBIowa at Michigan3.4
64Latrelle MurrellRBKennesaw State at Arkansas State3.4
65Jo'Nathan SilverRBDelaware at Virginia3.2
66Dominic KelleyRBNevada vs Air Force3.2
67King MillerRBUSC vs Oregon3.2
68Kenji ChristianRBUConn at Miami (OH)3.1
69Jaquari LewisRBApp State at NC State3.1
70Ethan ErvinRBFlorida Atlantic at UL Monroe3.0
71Malachi HosleyRBGeorgia Tech at Stanford3.0
72Isaiah EneRBSacramento State vs Massachusetts3.0
73Jadan BaughRBFlorida vs Ole Miss3.0
74Elijah FaulknerRBMassachusetts at Sacramento State2.9
75Mason BlakemoreRBKent State vs Ball State2.9
76Damari AlstonRBTulsa at Arkansas2.8
77Raleek BrownRBTexas at Tennessee2.8
78Caleb HawkinsRBOklahoma State at West Virginia2.8
79Jamarice WilderRBSouthern Miss at Tulane2.7
80TJ Thomas Jr.RBMinnesota at Washington2.7

How the number is built

Four steps. His expected production in this game, from his usage share, his team’s volume and the way volume swings with the score. Then his plausible range around it — the 25th to 75th percentile of what players at his volume actually produce against expectation, blended with his own record as he accumulates games. Then that range is converted to points of scoring margin by his share of his unit’s ordinary game-to-game swing. Then the game is re-simulated at both ends.

Why positions are comparable. Passing yards, carries and catches are never compared to each other. Each is converted into points of scoring margin and then into win probability inside the same game’s simulation, and the win-probability swing is what this page ranks. That is also why quarterbacks sit at the top: they are genuinely responsible for more of a passing game than any one receiver, not because their stat line is bigger.

What it does not cover

Offensive players only. There is no per-defender leverage model on this site yet, so no edge rusher or cornerback appears here. A board that ranked only offense while implying it ranked everybody would be the more misleading of the two options.

A running quarterback’s carries are scored with his passing, not with the run game, so a true dual-threat is understated. And team-mates’ production is treated as independent when it partly is not — targets moving between two receivers is noise that cancels for the offense as a whole, which leaves the receiving side slightly overstated against the thrower.

FBS against FBS only. Rebuilt weekly; this board was generated 2026-09-25.