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Roman Hemby

#1Roman Hemby

Roman Hemby is a Committee Back for Indiana. Roman's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 230 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 Roman Hemby'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.

2025 Production

Rushing
1120 Rush yards7 Rush TD230 Carries4.9 Yards/carry
Receiving
17 Receptions165 Rec yards0 Rec TD9.7 Yards/rec
Returns
9 Kick returns203 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume66
  • Explosiveness38
  • Consistency63
  • Receiving35
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 consistency63th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Peak game: 0.78 EPA/play in Wk 14 vs Purdue (SP+ -6).

NIL Market Tier· 2025

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
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
Donnel PumphreySan Diego State0.3204.2110.1
Eno BenjaminArizona State0.3304.6104.3

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

Game Log · box score + EPA, week by week

+0.7800.78Wk 1 vs Old Dominion: +0.23 EPA/play1Wk 2 vs Kennesaw State: +0.50 EPA/play2Wk 3 vs Indiana State: +0.20 EPA/play3Wk 4 vs Illinois: +0.21 EPA/play4Wk 5 vs Iowa: +0.16 EPA/play5Wk 7 vs Oregon: +0.07 EPA/play7Wk 8 vs Michigan State: -0.24 EPA/play8Wk 9 vs UCLA: +0.27 EPA/play9Wk 10 vs Maryland: +0.36 EPA/play10Wk 11 vs Penn State: +0.04 EPA/play11Wk 12 vs Wisconsin: +0.17 EPA/play12Wk 14 vs Purdue: +0.78 EPA/play14Wk 15 vs Ohio State: -0.12 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsOld DominionW27-145.9231114.801900.23
2vsKennesaw StateW56-9-5.49647.1012500.50
3vsIndiana StateW73-04256.300.20
4vsIllinoisW63-1012.914654.6023700.21
5@IowaW20-1519.715865.701500.16
7@OregonW30-2025.919703.7222500.07
8vsMichigan StateW38-13-3.46111.802190-0.24
9vsUCLAW56-6-8.717814.8211100.27
10@MarylandW55-100.618884.9111300.36
11@Penn StateW27-2418.112554.601100.04
12vsWisconsinW31-7-4.414584.101800.17
14@PurdueW56-3-6.11215212.710.78
15vsOhio StateW13-1030.113524.00170-0.12
20vsOregonW56-2225.917533.10100
20vsAlabamaW38-314.818894.91
20vsMiamiW27-2120.719603.20250

Usage & Situational · Pro

Snap-share proxy
Overall
23.0%
Passing plays
4.4%
Rushing plays
36.2%
Standard downs
25.2%
Passing downs
15.9%
EPA by down type
Standard downs
0.09
Passing downs
0.15
Pass / Rush EPA
0.28 / 0.09

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.100−0.43
EPA per play · 2022 · 13 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.