Skip to content
Shamari Brooks

#3Shamari Brooks

RB·Tulsa·20172.3 pts line valueDay 3 (Rds 4–7)

Shamari Brooks is a Explosive Back for Tulsa. Shamari's 2017 season ranks in the 57th percentile nationally by opponent-adjusted EPA per play across 103 plays — a average 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 Shamari Brooks'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 2017

3-Star · Developmental
Stars
247 composite
0.8115
National rank
#1,843
High school
Tulsa Union
Hometown
Tulsa, OK

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

2017 Production

Rushing
687 Rush yards10 Rush TD119 Carries5.8 Yards/carry
Receiving
1 Receptions4 Rec yards0 Rec TD4.0 Yards/rec

Performance Analysis · 2017 · vs RB peers

  • Efficiency57
  • Volume51
  • Explosiveness56
  • Consistency60
  • Receiving4
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)57th %ile · average
Game-to-game consistency60th %ile · average
Key findings
  • 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 0.11 from the first to second half of the season.
  • Peak game: 0.61 EPA/play in Wk 6 vs Tulane (SP+ -6).

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
Travis EtienneClemson0.4704.7100.1
Clyde Edwards-HelaireLSU0.4905.0105.8
Saquon BarkleyPenn State0.4105.298.4
Nick WilsonArizona0.4105.2102.5
Dalvin CookFlorida State0.4505.8102.6

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 Oklahoma State: +0.16 EPA/play1Wk 2 vs Louisiana: +0.37 EPA/play2Wk 3 vs Toledo: +0.56 EPA/play3Wk 4 vs New Mexico: -0.21 EPA/play4Wk 5 vs Navy: -0.23 EPA/play5Wk 6 vs Tulane: +0.61 EPA/play6Wk 7 vs Houston: +0.42 EPA/play7Wk 8 vs UConn: +0.19 EPA/play8Wk 9 vs SMU: +0.09 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Oklahoma StateL24-5919.18283.500.16
2vsLouisianaW66-42-15.812796.610.37
3@ToledoL51-546.6181417.830.56
4vsNew MexicoL13-16-12.49283.10-0.21
5vsNavyL21-31-0.75132.60-0.23
6@TulaneL28-62-5.7121048.720.61
7vsHoustonW45-177.7181116.210.42
8@UConnL14-20-19.2311645.321400.19
9@SMUL34-38-2.96193.210.09

Usage & Situational · Pro

Snap-share proxy
Overall
17.9%
Passing plays
0.4%
Rushing plays
27.5%
Standard downs
21.5%
Passing downs
10.1%
EPA by down type
Standard downs
0.23
Passing downs
0.41
Pass / Rush EPA
-0.02 / 0.26

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.690−0.31
EPA per play · 2017 · 9 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.