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Mylan Graham

#3Mylan Graham

Mylan Graham is a Slot Specialist WR for Ohio 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 Mylan Graham'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
6 Receptions93 Rec yards0 Rec TD15.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume11
  • Explosiveness57
  • Consistency86
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency86th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.74 EPA/play in Wk 8 vs Wisconsin (SP+ -4).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3700.615.2
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+0.7400.74Wk 2 vs Grambling: +0.44 EPA/play2Wk 8 vs Wisconsin: +0.74 EPA/play8Wk 11 vs Purdue: +0.19 EPA/play11Wk 12 vs UCLA: +0.38 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsGramblingW70-012323.00230.44
8@WisconsinW34-0-4.411010.00100.74
11@PurdueW34-10-6.112020.00200.19
12vsUCLAW48-10-8.734013.30210.38

Usage & Situational · Pro

Snap-share proxy
Overall
3.9%
Passing plays
7.9%
Rushing plays
0.0%
Standard downs
3.5%
Passing downs
5.7%
EPA by down type
Standard downs
0.15
Passing downs
0.64
Pass / Rush EPA
0.32 / —

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.