Skip to content
Elijah Sessoms

#88Elijah Sessoms

Elijah Sessoms is a Versatile TE for Delaware.

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 Elijah Sessoms'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
22 Receptions190 Rec yards2 Rec TD8.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume11
  • Explosiveness11
  • Consistency52
  • Pass-Down95
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 consistency52th %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.
  • Strong second-half surge — EPA/play improved 0.79 from the first to second half of the season.
  • Peak game: 1.93 EPA/play in Wk 10 vs Liberty (SP+ -9).

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
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.2400.08.9
Ty ThompsonTulane0.4200.720.2
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

+1.9301.93Wk 1 vs Delaware State: +0.10 EPA/play1Wk 3 vs UConn: -0.15 EPA/play3Wk 4 vs Florida International: -0.23 EPA/play4Wk 6 vs Western Kentucky: +0.42 EPA/play6Wk 8 vs Jacksonville State: +0.06 EPA/play8Wk 9 vs Middle Tennessee: +0.48 EPA/play9Wk 10 vs Liberty: +1.93 EPA/play10Wk 11 vs Louisiana Tech: +0.78 EPA/play11Wk 14 vs UTEP: +0.11 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsDelaware StateW35-173196.30120.10
3vsUConnW44-415.111212.0012-0.15
4@Florida InternationalW38-16-10.522211.0018-0.23
6vsWestern KentuckyL24-271.65438.60140.42
8@Jacksonville StateL25-38-6.744411.00210.06
9vsMiddle TennesseeW31-28-16.02115.5060.48
10@LibertyL30-59-9.02178.5191.93
11vsLouisiana TechW25-24-1.32178.51140.78
14vsUTEPW61-31-17.5155.0050.11

Usage & Situational · Pro

Snap-share proxy
Overall
3.8%
Passing plays
6.4%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
4.2%
EPA by down type
Standard downs
0.24
Passing downs
0.51
Pass / Rush EPA
0.33 / —

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.