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Izayah Cummings

#4Izayah Cummings

Izayah Cummings is a Versatile TE for App State. Izayah's 2025 season produced 23.9 total EPA across 43 plays.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Izayah Cummings'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
37 Receptions374 Rec yards1 Rec TD10.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume21
  • Explosiveness21
  • Consistency68
  • Pass-Down100
Player type
Versatile TE

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

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency68th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • 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: 1.30 EPA/play in Wk 7 vs Georgia State (SP+ -25).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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 · TE · 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
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+1.3001.30Wk 1 vs Charlotte: +0.79 EPA/play1Wk 2 vs Lindenwood: +0.79 EPA/play2Wk 3 vs Southern Miss: +0.62 EPA/play3Wk 5 vs Boise State: +0.20 EPA/play5Wk 6 vs Oregon State: -0.35 EPA/play6Wk 7 vs Georgia State: +1.30 EPA/play7Wk 8 vs Coastal Carolina: +0.59 EPA/play8Wk 9 vs Old Dominion: -0.16 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCharlotteW34-11-26.755711.40220.79
2vsLindenwoodW20-134338.30110.79
3@Southern MissL22-38-7.178211.70300.62
5@Boise StateL14-473.13206.7090.20
6vsOregon StateW27-23-15.92105.008-0.35
7@Georgia StateW41-20-24.569415.71261.30
8vsCoastal CarolinaL37-45-15.166010.00200.59
9@Old DominionL21-245.94184.5011-0.16

Usage & Situational · Pro

Snap-share proxy
Overall
7.5%
Passing plays
13.1%
Rushing plays
0.0%
Standard downs
7.7%
Passing downs
7.1%
EPA by down type
Standard downs
0.40
Passing downs
0.89
Pass / Rush EPA
0.56 / —

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.