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Brett Hundley

#17Brett Hundley

QB·UCLA·201420138.8 pts line valueDay 3 (Rds 4–7)

Brett Hundley is a 2-year Dual-Threat QB for UCLA. Brett's 2014 season ranks in the 35th percentile nationally by opponent-adjusted EPA per play across 501 plays — a developing 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 Brett Hundley'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.

2014 Production

Passing
271/392 Comp/Att3155 Pass yards22 Pass TD5 INT69.1% Comp %
Rushing
644 Rush yards10 Rush TD159 Carries4.1 Yards/carry

Performance Analysis · 2014 · vs QB peers

  • Efficiency35
  • Volume100
  • Dual-Threat100
  • Consistency85
  • Clutch79
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)35th %ile · below avg
Game-to-game consistency85th %ile · above avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.65 EPA/play in Wk 3 vs Texas (SP+ 9).

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
Stetson BennettGeorgia0.63512.5323.0
Kyle McCordSyracuse0.50912.1321.4
Sam HartmanWake Forest0.55611.8359.6
Jordan TravisFlorida State0.47610.1328.3
Trace McSorleyPenn State0.51312.7321.0

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

Game Log · box score + EPA, week by week

+0.6500.65Wk 1 vs Virginia: +0.21 EPA/play1Wk 2 vs Memphis: +0.35 EPA/play2Wk 3 vs Texas: +0.65 EPA/play3Wk 6 vs Utah: +0.40 EPA/play6Wk 7 vs Oregon: +0.30 EPA/play7Wk 8 vs California: +0.34 EPA/play8Wk 9 vs Colorado: +0.27 EPA/play9Wk 10 vs Arizona: +0.27 EPA/play10Wk 11 vs Washington: +0.48 EPA/play11Wk 13 vs USC: +0.37 EPA/play13Wk 14 vs Stanford: -0.10 EPA/play14Wk 1 vs Kansas State: +0.38 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@VirginiaW28-204.020/332420043.43910.21
2vsMemphisW42-355.633/443963173.92600.35
3vsTexasW20-179.04/4480094.7900.65
5@Arizona StateW62-2713.518/233554096.2721
6vsUtahL28-308.816/212692140.6-2400.40
7vsOregonL30-4224.726/372162173.78910.30
8@CaliforniaW36-34-0.631/423302150.59410.34
9@ColoradoW40-37-5.024/392001056.111010.27
10vsArizonaW17-77.619/261891074.913100.27
11@WashingtonW44-307.829/363022093.31820.48
13vsUSCW38-2017.122/313263167.2210.37
14vsStanfordL10-3121.417/321461020.9-180-0.10
1vsKansas StateW40-3516.312/241361087.39620.38

Usage & Situational · Pro

Snap-share proxy
Overall
54.5%
Passing plays
89.3%
Rushing plays
24.1%
Standard downs
49.5%
Passing downs
66.3%
EPA by down type
Standard downs
0.24
Passing downs
0.44
Pass / Rush EPA
0.27 / 0.46

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.730−0.182014
EPA per play · 2013 — 2014 · 25 games
SeasonTeamLine valueTotal EPA
2013UCLA
4.3
126.8
2014UCLA
8.8
246.0

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.