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Matthew Henry

#17Matthew Henry

Matthew Henry is a Slot Specialist WR for Western Kentucky. Matthew's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 74 plays — a elite rate for the WR.

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 Matthew Henry'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
55 Receptions888 Rec yards6 Rec TD16.1 Yards/rec
Returns
2 Kick returns52 KR yards1 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness61
  • Consistency79
  • 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 consistency79th %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.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.16 from the first to second half of the season.
  • Peak game: 2.00 EPA/play in Wk 12 vs Middle Tennessee (SP+ -16).

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.

Game Log · box score + EPA, week by week

+2.0002.00Wk 1 vs North Alabama: +1.04 EPA/play1Wk 2 vs Toledo: +0.47 EPA/play2Wk 4 vs Nevada: -0.22 EPA/play4Wk 5 vs Missouri State: +1.00 EPA/play5Wk 6 vs Delaware: +1.38 EPA/play6Wk 8 vs Florida International: +1.30 EPA/play8Wk 9 vs Louisiana Tech: +0.13 EPA/play9Wk 10 vs New Mexico State: +0.82 EPA/play10Wk 12 vs Middle Tennessee: +2.00 EPA/play12Wk 13 vs LSU: +0.47 EPA/play13Wk 14 vs Jacksonville State: +1.01 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsSam HoustonW41-24-27.8714821.1155
1vsNorth AlabamaW55-624120.51271.04
2@ToledoL21-456.0294.5170.47
4vsNevadaW31-16-13.4177.007-0.22
5@Missouri StateW27-22-10.757314.60341.00
6@DelawareW27-24-10.949924.80481.38
8vsFlorida InternationalL6-25-10.525829.00461.30
9@Louisiana TechW28-27-1.355210.40170.13
10vsNew Mexico StateW35-16-15.578111.62250.82
12vsMiddle TennesseeW42-26-16.0713519.31372.00
13@LSUL10-1310.33165.3070.47
14@Jacksonville StateL34-37-6.734314.30221.01
20vsSouthern MissW27-16-7.1712618.0046

Usage & Situational · Pro

Snap-share proxy
Overall
8.4%
Passing plays
14.5%
Rushing plays
0.8%
Standard downs
6.6%
Passing downs
12.1%
EPA by down type
Standard downs
0.52
Passing downs
1.49
Pass / Rush EPA
1.06 / -0.93

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.