Skip to content
Caleb Williams

#13Caleb Williams

QB·USC·2023202217.0 pts line value1st Round

Caleb Williams is a 2-year Dual-Threat QB for USC. Caleb's 2022 season ranks in the 93th percentile nationally by opponent-adjusted EPA per play across 599 plays — a elite rate for the QB.

What projects, and what doesn't · QBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Caleb Williams's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2022 Production

Passing
332/499 Comp/Att4535 Pass yards42 Pass TD5 INT66.5% Comp %
Rushing
382 Rush yards10 Rush TD113 Carries3.4 Yards/carry
Punting
2 Punts84 Punt yards42.0 Yards/punt58 Long1 Inside 20

Performance Analysis · 2022 · vs QB peers

  • Efficiency93
  • Volume100
  • Dual-Threat100
  • Consistency87
  • Clutch64
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)93th %ile · elite
Game-to-game consistency87th %ile · above avg
Key findings
  • Top-10% efficiency among QBs — elite opponent-adjusted EPA rate.
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 10 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.16 from the first to second half of the season.
  • Peak game: 0.88 EPA/play in Wk 13 vs Notre Dame (SP+ 10).

NIL Market Tier· 2022

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · QB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Chad KellyOle Miss0.63517.5370.2
Brandon DoughtyWestern Kentucky0.62017.8379.4
Dwayne HaskinsOhio State0.64317.5419.0
Mason RudolphOklahoma State0.65518.4387.6
Jalen HurtsOklahoma0.70817.3394.2

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.8800.88Wk 1 vs Rice: +0.84 EPA/play1Wk 2 vs Stanford: +0.59 EPA/play2Wk 3 vs Fresno State: +0.34 EPA/play3Wk 4 vs Oregon State: +0.04 EPA/play4Wk 5 vs Arizona State: +0.57 EPA/play5Wk 6 vs Washington State: +0.22 EPA/play6Wk 7 vs Utah: +0.55 EPA/play7Wk 9 vs Arizona: +0.65 EPA/play9Wk 10 vs California: +0.56 EPA/play10Wk 11 vs Colorado: +0.65 EPA/play11Wk 12 vs UCLA: +0.50 EPA/play12Wk 13 vs Notre Dame: +0.88 EPA/play13Wk 14 vs Utah: +0.32 EPA/play14Wk 1 vs Tulane: +0.70 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsRiceW66-14-15.219/222492095.26800.84
2@StanfordW41-28-7.220/273414096.3400.59
3vsFresno StateW45-173.325/372842084.4120.34
4@Oregon StateW17-1414.316/361801053.72700.04
5vsArizona StateW42-25-4.127/373483190.24410.57
6vsWashington StateW30-149.515/291882064.63400.22
7@UtahL42-4319.225/423815089.95700.55
9@ArizonaW45-37-3.231/454115085.21400.65
10vsCaliforniaW41-35-3.026/413604081.63810.56
11vsColoradoW55-17-20.414/262683162.9-420.65
12@UCLAW48-4515.032/434702187.33310.50
13vsNotre DameW38-2710.318/222321097.63530.88
14vsUtahL24-4719.228/41363312100.32
1vsTulaneL45-4612.436/51460511000.70

Usage & Situational · Pro

Snap-share proxy
Overall
62.0%
Passing plays
97.3%
Rushing plays
19.0%
Standard downs
56.3%
Passing downs
77.0%
EPA by down type
Standard downs
0.47
Passing downs
0.59
Pass / Rush EPA
0.48 / 0.74

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.280−0.072023
EPA per play · 2022 — 2023 · 26 games
SeasonTeamLine valueTotal EPA
2022USC
17.0
415.9
2023USC
13.3
318.7

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.