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Blake Bosma

#86Blake Bosma

Blake Bosma is a Versatile TE for Western Michigan. Blake's 2025 season produced 11.3 total EPA across 31 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 Blake Bosma'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
27 Receptions251 Rec yards1 Rec TD9.3 Yards/rec
Returns
1 Kick returns0 KR yards0 KR TD3 Punt returns3 PR yards0 PR TD

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume11
  • Explosiveness15
  • Consistency51
  • Pass-Down72
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 consistency51th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 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 — 0.52 EPA/play decline from first to second half.
  • Peak game: 2.26 EPA/play in Wk 6 vs Massachusetts (SP+ -37).

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 · 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
Johnny LanganRutgers0.3000.017.7
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4
Jordan MyersRice0.2700.215.9
Evan SvobodaWyoming0.2900.521.8

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

Game Log · box score + EPA, week by week

+2.2602.26Wk 2 vs North Texas: +0.60 EPA/play2Wk 3 vs Illinois: +0.38 EPA/play3Wk 4 vs Toledo: +0.28 EPA/play4Wk 5 vs Rhode Island: +0.04 EPA/play5Wk 6 vs Massachusetts: +2.26 EPA/play6Wk 7 vs Ball State: +0.60 EPA/play7Wk 9 vs Miami (OH): +0.31 EPA/play9Wk 10 vs Central Michigan: -0.06 EPA/play10Wk 12 vs Ohio: -0.06 EPA/play12Wk 14 vs Eastern Michigan: +1.36 EPA/play14Wk 15 vs Miami (OH): -0.67 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsNorth TexasL30-3313.84317.80150.60
3@IllinoisL0-3812.92189.00100.38
4vsToledoW14-136.022914.50240.28
5vsRhode IslandW47-1422110.50220.04
6@MassachusettsW21-3-36.6177.0072.26
7vsBall StateW42-0-23.022613.00160.60
9@Miami (OH)L17-26-3.42126.0070.31
10vsCentral MichiganW24-21-8.82115.506-0.06
12vsOhioW17-13-4.0144.004-0.06
14@Eastern MichiganW31-21-14.733812.70181.36
15vsMiami (OH)W23-13-3.411010.0010-0.67
20vsKennesaw StateW41-6-5.45448.8123

Usage & Situational · Pro

Snap-share proxy
Overall
3.8%
Passing plays
10.8%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
4.4%
EPA by down type
Standard downs
0.32
Passing downs
0.45
Pass / Rush EPA
0.36 / —

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.