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Elisha Durham

#14Elisha Durham

Elisha Durham is a Versatile WR for Ball State.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Elisha Durham'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

Receiving
4 Receptions26 Rec yards0 Rec TD6.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume8
  • Explosiveness0
  • Consistency0
  • Pass-Down0
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs WR 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.
  • Peak game: 0.66 EPA/play in Wk 14 vs Miami (OH) (SP+ -3).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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 · WR · 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
Amare JonesTulane0.1800.012.8
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Brandon ChatmanNavy0.2300.612.0
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+0.6600.66Wk 6 vs Ohio: -0.34 EPA/play6Wk 13 vs Toledo: -0.17 EPA/play13Wk 14 vs Miami (OH): +0.66 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
6vsOhioW20-14-4.0177.007-0.34
13@ToledoL9-386.0144.004-0.17
14@Miami (OH)L24-45-3.42157.5080.66

Usage & Situational · Pro

Snap-share proxy
Overall
2.8%
Passing plays
6.0%
Rushing plays
0.0%
Standard downs
3.0%
Passing downs
2.7%
EPA by down type
Standard downs
0.03
Passing downs
-0.35
Pass / Rush EPA
-0.13 / —

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.