Skip to content
Kareem Hunt

#3Kareem Hunt

RB·Toledo·2016201420132.0 pts line valueDay 2 (Rds 2–3)

Kareem Hunt is a 3-year Explosive Back for Toledo. Kareem's 2013 season ranks in the 80th percentile nationally by opponent-adjusted EPA per play across 138 plays — a above-average rate for the RB. Kareem's production has improved each season, a positive development trajectory.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Kareem Hunt'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.

Recruiting Profile· Class of 2013

3-Star · Developmental
Stars
247 composite
0.8033
National rank
#1,746
High school
South
Hometown
Willoughby, OH

Recruiting data from CFBD/247Sports composite. Sourced from the player's signing-class team — transfers show original school's class.

2013 Production

Rushing
866 Rush yards6 Rush TD137 Carries6.3 Yards/carry
Receiving
12 Receptions68 Rec yards0 Rec TD5.7 Yards/rec

Performance Analysis · 2013 · vs RB peers

  • Efficiency80
  • Volume55
  • Explosiveness66
  • Consistency0
  • Receiving43
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)80th %ile · above avg
Game-to-game consistency0th %ile · below avg
Career trajectory:↑ Rising
Key findings
  • Above-average efficiency for the RB position (80th percentile).
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game variance — boom-or-bust profile.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.22 from the first to second half of the season.
  • Peak game: 1.56 EPA/play in Wk 6 vs Western Michigan (SP+ -26).

Historical Comparables · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Dalvin CookFlorida State0.3404.399.3
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.4105.298.4
James FlandersTulsa0.3904.9103.7

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

Game Log · box score + EPA, week by week

+1.5601.56Wk 1 vs Florida: -0.37 EPA/play1Wk 2 vs Missouri: -0.30 EPA/play2Wk 3 vs Eastern Washington: -0.13 EPA/play3Wk 4 vs Central Michigan: -0.67 EPA/play4Wk 6 vs Western Michigan: +1.56 EPA/play6Wk 8 vs Navy: +0.07 EPA/play8Wk 9 vs Bowling Green: +0.08 EPA/play9Wk 10 vs Eastern Michigan: +0.57 EPA/play10Wk 12 vs Buffalo: +0.16 EPA/play12Wk 13 vs Northern Illinois: -0.03 EPA/play13Wk 14 vs Akron: +0.44 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@FloridaL6-249.0200.00130-0.37
2@MissouriL23-3819.3111.00-0.30
3vsEastern WashingtonW33-215275.40-0.13
4@Central MichiganW38-17-18.8111.00-0.67
6vsWestern MichiganW47-20-25.534816.001.56
8vsNavyW45-44-0.3151278.521900.07
9@Bowling GreenW28-259.8211145.413800.08
10vsEastern MichiganW55-16-35.7201688.4232800.57
12vsBuffaloW51-41-9.0311866.010.16
13vsNorthern IllinoisL17-356.319914.80290-0.03
14@AkronL29-31-15.3191035.4021100.44

Usage & Situational · Pro

Snap-share proxy
Overall
19.3%
Passing plays
4.6%
Rushing plays
30.5%
Standard downs
21.4%
Passing downs
13.6%
EPA by down type
Standard downs
0.04
Passing downs
0.89
Pass / Rush EPA
0.02 / 0.21

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.790−0.9020142016
EPA per play · 2013 — 2016 · 33 games
SeasonTeamLine valueTotal EPA
2013Toledo
2.0
20.0
2014Toledo
3.8
71.8
2016Toledo
2.8
71.6

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.