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Luke Reynolds

#85Luke Reynolds

Luke Reynolds is a Versatile TE for Penn State. Luke's 2025 season produced 13.4 total EPA across 33 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 Luke Reynolds'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
26 Receptions257 Rec yards0 Rec TD9.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume13
  • Explosiveness19
  • Consistency55
  • Pass-Down5
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 consistency55th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.46 from the first to second half of the season.
  • Peak game: 3.71 EPA/play in Wk 13 vs Nebraska (SP+ 6).

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
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4
Johnny LanganRutgers0.3000.017.7
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

+3.7103.71Wk 1 vs Nevada: +0.43 EPA/play1Wk 2 vs Florida International: +0.83 EPA/play2Wk 3 vs Villanova: +1.31 EPA/play3Wk 5 vs Oregon: -0.29 EPA/play5Wk 6 vs UCLA: +0.51 EPA/play6Wk 8 vs Iowa: -0.06 EPA/play8Wk 11 vs Indiana: +0.11 EPA/play11Wk 13 vs Nebraska: +3.71 EPA/play13Wk 14 vs Rutgers: +0.31 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNevadaW46-11-13.42115.5080.43
2vsFlorida InternationalW34-0-10.57588.30140.83
3vsVillanovaW52-647318.30221.31
5vsOregonL24-3025.9199.009-0.29
6@UCLAL37-42-8.744611.50170.51
8@IowaL24-2519.73165.307-0.06
11vsIndianaL24-2732.4155.0050.11
13vsNebraskaW37-106.23.71
14@RutgersW40-361.02115.5090.31
20vsClemsonW22-109.522814.0017

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
10.3%
Rushing plays
0.5%
Standard downs
4.3%
Passing downs
5.3%
EPA by down type
Standard downs
0.49
Passing downs
0.22
Pass / Rush EPA
0.33 / 1.62

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.