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Thomas Rawls

#34Thomas Rawls

RB·Central Michigan·20142.3 pts line valueDay 3 (Rds 4–7)

Thomas Rawls is a Featured Back for Central Michigan. Thomas's 2014 season ranks in the 20th percentile nationally by opponent-adjusted EPA per play across 225 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 Thomas Rawls'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.

2014 Production

Rushing
1103 Rush yards10 Rush TD210 Carries5.3 Yards/carry
Receiving
10 Receptions93 Rec yards0 Rec TD9.3 Yards/rec

Performance Analysis · 2014 · vs RB peers

  • Efficiency20
  • Volume100
  • Explosiveness46
  • Consistency0
  • Receiving29
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)20th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.51 EPA/play decline from first to second half.
  • Peak game: 0.39 EPA/play in Wk 6 vs Ohio (SP+ -12).

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
Breece HallIowa State0.3404.5102.3
Hassan HaskinsMichigan0.3804.8106.4
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

+0.6100.61Wk 1 vs Chattanooga: +0.00 EPA/play1Wk 2 vs Purdue: +0.33 EPA/play2Wk 5 vs Toledo: +0.06 EPA/play5Wk 6 vs Ohio: +0.39 EPA/play6Wk 7 vs Northern Illinois: +0.28 EPA/play7Wk 8 vs Ball State: -0.20 EPA/play8Wk 9 vs Buffalo: -0.61 EPA/play9Wk 12 vs Miami (OH): -0.17 EPA/play12Wk 13 vs Western Michigan: -0.28 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsChattanoogaW20-16251214.812700.00
2@PurdueW38-17-6.2311555.0235000.33
5@ToledoL28-422.317653.821400.06
6vsOhioW28-10-11.7402295.7211600.39
7@Northern IllinoisW34-17-0.6402706.820.28
8vsBall StateL29-32-6.6321675.21160-0.20
9@BuffaloW20-14-7.7341.30-0.61
12vsMiami (OH)W34-27-18.73165.30-0.17
13vsWestern MichiganL20-32-0.819764.002100-0.28

Usage & Situational · Pro

Snap-share proxy
Overall
36.3%
Passing plays
5.7%
Rushing plays
60.0%
Standard downs
42.6%
Passing downs
19.2%
EPA by down type
Standard downs
0.06
Passing downs
0.42
Pass / Rush EPA
0.21 / 0.10

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.480−0.71
EPA per play · 2014 · 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.