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Elija Lofton

#9Elija Lofton

TE·Miami·2025

Elija Lofton is a Versatile TE for Miami. Elija's 2025 season produced 14.7 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 Elija Lofton'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
23 Receptions218 Rec yards3 Rec TD9.5 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume10
  • Explosiveness17
  • Consistency65
  • Pass-Down100
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 consistency65th %ile · average
Key findings
  • Top-10% efficiency among TEs — 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.
  • 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: 2.45 EPA/play in Wk 1 vs Notre Dame (SP+ 24).

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
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+2.4502.45Wk 1 vs Notre Dame: +2.45 EPA/play1Wk 2 vs Bethune-Cookman: +0.64 EPA/play2Wk 4 vs Florida: +0.63 EPA/play4Wk 6 vs Florida State: +0.43 EPA/play6Wk 8 vs Louisville: -0.11 EPA/play8Wk 9 vs Stanford: +0.37 EPA/play9Wk 10 vs SMU: +0.00 EPA/play10Wk 11 vs Syracuse: +0.48 EPA/play11Wk 12 vs NC State: -0.09 EPA/play12Wk 13 vs Virginia Tech: +0.77 EPA/play13Wk 14 vs Pittsburgh: +2.42 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNotre DameW27-2424.411515.00152.45
2vsBethune-CookmanW45-33217.00110.64
4vsFloridaW26-73.544310.80170.63
6@Florida StateW28-227.23217.00110.43
8vsLouisvilleL21-2412.4144.004-0.11
9vsStanfordW42-7-11.8273.5090.37
10@SMUL20-2613.42147.0090.00
11vsSyracuseW38-10-13.111010.00100.48
12vsNC StateW41-74.812929.0129-0.09
13@Virginia TechW34-17-10.122211.01200.77
14@PittsburghW38-78.4199.0192.42
20vsOle MissW31-2724.011515.0015
20@Texas A&MW10-320.7188.008

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
6.8%
Rushing plays
0.6%
Standard downs
3.7%
Passing downs
2.8%
EPA by down type
Standard downs
0.29
Passing downs
1.03
Pass / Rush EPA
0.52 / -0.23

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.