Skip to content
Ben Hicks

#6Ben Hicks

QB·SMU·20177.3 pts line valueDay 3 (Rds 4–7)

Ben Hicks is a Dual-Threat QB for SMU. Ben's 2017 season ranks in the 35th percentile nationally by opponent-adjusted EPA per play across 489 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 Ben Hicks'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.

2017 Production

Passing
276/472 Comp/Att3569 Pass yards33 Pass TD12 INT58.5% Comp %
Rushing
47 Rush yards1 Rush TD54 Carries0.9 Yards/carry

Performance Analysis · 2017 · vs QB peers

  • Efficiency35
  • Volume100
  • Dual-Threat92
  • Consistency71
  • Clutch97
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 consistency71th %ile · average
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.
  • 8 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 — 0.12 EPA/play decline from first to second half.
  • Peak game: 0.61 EPA/play in Wk 13 vs Tulane (SP+ -6).

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
Jordan TravisFlorida State0.47610.1328.3

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

Game Log · box score + EPA, week by week

+0.6100.61Wk 1 vs Stephen F. Austin: +0.22 EPA/play1Wk 2 vs North Texas: +0.44 EPA/play2Wk 3 vs TCU: +0.48 EPA/play3Wk 4 vs Arkansas State: +0.52 EPA/play4Wk 5 vs UConn: +0.51 EPA/play5Wk 6 vs Houston: +0.10 EPA/play6Wk 8 vs Cincinnati: +0.34 EPA/play8Wk 9 vs Tulsa: +0.45 EPA/play9Wk 10 vs UCF: +0.14 EPA/play10Wk 11 vs Navy: +0.49 EPA/play11Wk 12 vs Memphis: +0.47 EPA/play12Wk 13 vs Tulane: +0.61 EPA/play13Wk 1 vs Louisiana Tech: -0.61 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsStephen F. AustinW58-149/191122086.20.22
2vsNorth TexasW54-32-4.520/393124183.6-700.44
3@TCUL36-5618.917/373052249.7-600.48
4vsArkansas StateW44-211.516/322662072.1-110.52
5vsUConnW49-28-19.227/372804084.3-1500.51
6@HoustonL22-357.741/583971253.7000.10
8@CincinnatiW31-28-6.426/372952186.9-3200.34
9vsTulsaW38-34-10.719/323382086.33000.45
10vsUCFL24-3114.127/512831055.85400.14
11@NavyL40-43-0.716/292614177.41400.49
12@MemphisL45-667.815/342184075.72500.47
13vsTulaneW41-38-5.724/333754289.31700.61
1vsLouisiana TechL10-51-5.519/34127131.0-320-0.61

Usage & Situational · Pro

Snap-share proxy
Overall
53.1%
Passing plays
97.0%
Rushing plays
7.5%
Standard downs
43.4%
Passing downs
74.5%
EPA by down type
Standard downs
0.20
Passing downs
0.49
Pass / Rush EPA
0.32 / 0.36

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.730−0.73
EPA per play · 2017 · 13 games

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.