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David Clement

#0David Clement

David Clement is a Versatile TE for Syracuse.

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 David Clement'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
3 Receptions30 Rec yards0 Rec TD10.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume4
  • Explosiveness20
  • Consistency69
  • Pass-Down50
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 consistency69th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 1.66 EPA/play in Wk 1 vs Tennessee (SP+ 15).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

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

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

Game Log · box score + EPA, week by week

+1.6601.66Wk 1 vs Tennessee: +1.66 EPA/play1Wk 3 vs Colgate: -0.13 EPA/play3Wk 5 vs Duke: +0.63 EPA/play5
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTennesseeL26-4515.0188.0081.66
2vsUConnW27-205.1
3vsColgateW66-24144.004-0.13
5vsDukeL3-386.611818.00180.63

Usage & Situational · Pro

Snap-share proxy
Overall
1.4%
Passing plays
2.6%
Rushing plays
0.0%
Standard downs
1.8%
Passing downs
0.0%
EPA by down type
Standard downs
0.76
Passing downs
Pass / Rush EPA
0.76 / —

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.