Skip to content
Greg Burrell
Greg Burrell

#9Greg Burrell

RB·UNLV·2024

Greg Burrell is a Committee Back for UNLV. Greg's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 56 plays — a developing rate for the RB.

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 Greg Burrell'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.

2024 Production

Rushing
370 Rush yards3 Rush TD66 Carries5.6 Yards/carry
Receiving
2 Receptions12 Rec yards0 Rec TD6.0 Yards/rec

Performance Analysis · 2024 · vs RB peers

  • Efficiency0
  • Volume26
  • Explosiveness52
  • Consistency7
  • Receiving16
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency7th %ile · below avg
Key findings
  • ▸Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • ▸Limited usage share suggests a rotational or specialist role.
  • ▸High game-to-game variance — boom-or-bust profile.
  • ▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • ▸Strong second-half surge — EPA/play improved 0.33 from the first to second half of the season.
  • ▸Peak game: 0.89 EPA/play in Wk 7 vs Utah State (SP+ -10).

NIL Market Tier· 2024

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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.

Game Log · box score + EPA, week by week

+0.890−0.89Wk 1 vs Houston: -0.09 EPA/play1Wk 2 vs Utah Tech: +0.82 EPA/play2Wk 3 vs Kansas: -0.40 EPA/play3Wk 5 vs Fresno State: -0.27 EPA/play5Wk 6 vs Syracuse: -0.52 EPA/play6Wk 7 vs Utah State: +0.89 EPA/play7Wk 11 vs Hawai'i: +0.31 EPA/play11Wk 12 vs San Diego State: +0.07 EPA/play12Wk 13 vs San José State: -0.01 EPA/play13Wk 14 vs Nevada: +0.13 EPA/play14Wk 15 vs Boise State: +0.71 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@HoustonW27-7-8.24164.00———-0.09
2vsUtah TechW72-14—111019.21———0.82
3vsKansasW23-204.9591.80———-0.40
5vsFresno StateW59-14-3.88243.00———-0.27
6vsSyracuseL41-445.5200.00———-0.52
7@Utah StateW50-34-10.4————1900.89
11@Hawai'iW29-27-10.96518.501300.31
12vsSan Diego StateW41-20-15.410585.81———0.07
13@San José StateW27-16-5.511444.00———-0.01
14vsNevadaW38-14-15.24205.00———0.13
15@Boise StateL7-2110.15479.41———0.71

Usage & Situational · Pro

Snap-share proxy
Overall
9.1%
Passing plays
0.8%
Rushing plays
13.7%
Standard downs
10.1%
Passing downs
6.7%
EPA by down type
Standard downs
0.20
Passing downs
-0.22
Pass / Rush EPA
0.27 / 0.11

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

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