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Ryan Ward

#84Ryan Ward

Ryan Ward is a Versatile TE for West Virginia.

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 Ryan Ward'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
6 Receptions41 Rec yards1 Rec TD6.8 Yards/rec
Returns
1 Kick returns12 KR yards0 KR TD

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume5
  • Explosiveness0
  • Consistency74
  • Pass-Down0
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 consistency74th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.49 from the first to second half of the season.
  • Peak game: 2.63 EPA/play in Wk 11 vs Colorado (SP+ -8).

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.

Game Log · box score + EPA, week by week

+2.6302.63Wk 4 vs Kansas: +0.58 EPA/play4Wk 9 vs TCU: +1.03 EPA/play9Wk 10 vs Houston: +1.45 EPA/play10Wk 11 vs Colorado: +2.63 EPA/play11Wk 14 vs Texas Tech: -0.19 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsRobert MorrisW45-3
4@KansasL10-414.111313.00130.58
9vsTCUL17-238.322010.00161.03
10@HoustonW45-357.4144.0041.45
11vsColoradoW29-22-8.3133.0132.63
14vsTexas TechL0-4927.6111.001-0.19

Usage & Situational · Pro

Snap-share proxy
Overall
1.6%
Passing plays
3.8%
Rushing plays
0.0%
Standard downs
1.8%
Passing downs
1.3%
EPA by down type
Standard downs
1.28
Passing downs
-0.11
Pass / Rush EPA
0.89 / —

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.