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Richard Reese

#29Richard Reese

RB·Baylor·20223.0 pts line valueDay 2 (Rds 2–3)

Richard Reese is a Explosive Back for Baylor. Richard's 2022 season ranks in the 40th percentile nationally by opponent-adjusted EPA per play across 198 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 Richard Reese'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 2022

3-Star · Developmental
Stars
247 composite
0.8730
National rank
#709
High school
Bellville
Hometown
Bellville, TX

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

2022 Production

Rushing
972 Rush yards14 Rush TD198 Carries4.9 Yards/carry
Receiving
13 Receptions89 Rec yards0 Rec TD6.8 Yards/rec

Performance Analysis · 2022 · vs RB peers

  • Efficiency40
  • Volume70
  • Explosiveness38
  • Consistency45
  • Receiving31
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)40th %ile · below avg
Game-to-game consistency45th %ile · average
Key findings
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.26 EPA/play decline from first to second half.
  • Peak game: 0.73 EPA/play in Wk 3 vs Texas State (SP+ -12).

NIL Market Tier· 2022

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.

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
Travis EtienneClemson0.4704.7100.1
Dalvin CookFlorida State0.3404.399.3
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

+0.7300.73Wk 1 vs UAlbany: +0.69 EPA/play1Wk 2 vs BYU: -0.28 EPA/play2Wk 3 vs Texas State: +0.73 EPA/play3Wk 4 vs Iowa State: +0.25 EPA/play4Wk 5 vs Oklahoma State: +0.14 EPA/play5Wk 7 vs West Virginia: +0.22 EPA/play7Wk 8 vs Kansas: +0.39 EPA/play8Wk 9 vs Texas Tech: +0.15 EPA/play9Wk 11 vs Kansas State: +0.26 EPA/play11Wk 12 vs TCU: +0.36 EPA/play12Wk 13 vs Texas: -0.06 EPA/play13Wk 1 vs Air Force: -0.57 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUAlbanyW69-109626.920.69
2@BYUL20-26-1.46193.20-0.28
3vsTexas StateW42-7-11.5191568.2311700.73
4@Iowa StateW31-245.321783.711400.25
5vsOklahoma StateL25-3611.317855.0142100.14
7@West VirginiaL40-432.413574.400.22
8vsKansasW35-232.9311866.0222600.39
9@Texas TechW45-178.5361484.1331200.15
10@OklahomaW38-3515.4471.81150
11vsKansas StateL3-3121.49546.000.26
12vsTCUL28-2924.310565.611400.36
13@TexasL27-3823.115543.60-0.06
1vsAir ForceL15-303.98101.30-0.57

Usage & Situational · Pro

Snap-share proxy
Overall
24.5%
Passing plays
4.2%
Rushing plays
41.7%
Standard downs
27.5%
Passing downs
17.4%
EPA by down type
Standard downs
0.19
Passing downs
0.36
Pass / Rush EPA
0.34 / 0.22

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.860−0.70
EPA per play · 2022 · 12 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.