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Brandon Inniss

#0Brandon Inniss

Brandon Inniss is a Slot Specialist WR for Ohio State. Brandon's 2025 season produced 21.7 total EPA across 46 plays.

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 Brandon Inniss'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
36 Receptions271 Rec yards3 Rec TD7.5 Yards/rec
Returns
5 Kick returns66 KR yards0 KR TD18 Punt returns181 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness4
  • Consistency64
  • Pass-Down30
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 consistency64th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.40 from the first to second half of the season.
  • Peak game: 1.85 EPA/play in Wk 14 vs Michigan (SP+ 12).

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 · 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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+1.8501.85Wk 1 vs Texas: -0.18 EPA/play1Wk 2 vs Grambling: +0.79 EPA/play2Wk 5 vs Washington: +0.82 EPA/play5Wk 6 vs Minnesota: -0.72 EPA/play6Wk 7 vs Illinois: +0.41 EPA/play7Wk 8 vs Wisconsin: +0.70 EPA/play8Wk 10 vs Penn State: +0.19 EPA/play10Wk 11 vs Purdue: +0.76 EPA/play11Wk 12 vs UCLA: +0.36 EPA/play12Wk 13 vs Rutgers: +0.18 EPA/play13Wk 14 vs Michigan: +1.85 EPA/play14Wk 15 vs Indiana: +0.88 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTexasW14-716.2284.005-0.18
2vsGramblingW70-03299.70120.79
3vsOhioW37-9-4.0
5@WashingtonW24-618.433411.30120.82
6vsMinnesotaW42-31.5122.002-0.72
7@IllinoisW34-1612.92147.00110.41
8@WisconsinW34-0-4.43268.71130.70
10vsPenn StateW38-1418.144110.30290.19
11@PurdueW34-10-6.13268.70120.76
12vsUCLAW48-10-8.76305.0090.36
13vsRutgersW42-91.02105.0170.18
14@MichiganW27-912.42126.0181.85
15vsIndianaL10-1332.4155.0050.88
20vsMiamiL14-2420.74348.5011

Usage & Situational · Pro

Snap-share proxy
Overall
5.8%
Passing plays
11.6%
Rushing plays
0.7%
Standard downs
4.9%
Passing downs
9.1%
EPA by down type
Standard downs
0.51
Passing downs
0.39
Pass / Rush EPA
0.48 / 0.41

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.