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Joshua Long

#87Joshua Long

Joshua Long is a Slot Specialist TE for Eastern Michigan. Joshua's 2025 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 54 plays — a average rate for the TE.

2026 Usage Outlook · projected share of team plays

5%
projected
band 3%'25 7%7%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
37 Receptions357 Rec yards3 Rec TD9.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
Player type
Slot Specialist TE

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)50th %ile · average
Game-to-game consistency76th %ile · above avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.16 EPA/play decline from first to second half.
  • Peak game: 0.92 EPA/play in Wk 4 vs Louisiana (SP+ -10).

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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
Johnny LanganRutgers2020590.3000.017.7
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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

Game Log · box score + EPA, week by week

Wk 1 vs Texas State: +0.45 EPA/play1Wk 2 vs Long Island University: +0.42 EPA/play2Wk 3 vs Kentucky: +0.09 EPA/play3Wk 4 vs Louisiana: +0.92 EPA/play4Wk 5 vs Central Michigan: +0.40 EPA/play5Wk 6 vs Buffalo: +0.62 EPA/play6Wk 7 vs Northern Illinois: +0.80 EPA/play7Wk 8 vs Miami (OH): +0.08 EPA/play8Wk 11 vs Bowling Green: -0.26 EPA/play11Wk 12 vs Ball State: +0.33 EPA/play12Wk 14 vs Western Michigan: +0.68 EPA/play14
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Texas StateL27-522.333110.31160.45
2vsLong Island UniversityL23-2823216.00190.42
3@KentuckyL23-481.844511.30250.09
4vsLouisianaW34-31-10.124221.01270.92
5@Central MichiganL13-24-8.84369.00190.40
6@BuffaloL30-31-7.53175.7070.62
7vsNorthern IllinoisW16-10-16.755210.41150.80
8@Miami (OH)L30-44-3.42178.50110.08
9vsOhioL21-28-4.03144.7012
11vsBowling GreenW27-21-12.63217.0011-0.26
12@Ball StateW24-9-23.04297.30130.33
14vsWestern MichiganL21-31-1.422110.50160.68

Usage & Situational · Pro

Snap-share proxy
Overall
7.1%
Passing plays
13.9%
Rushing plays
0.0%
Standard downs
5.9%
Passing downs
9.8%
EPA by down type
Standard downs
0.57
Passing downs
0.14
Pass / Rush EPA
0.39 / —

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.