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Zeke Moore

#48Zeke Moore

Zeke Moore is a Versatile TE for Boston College.

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 Zeke Moore'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
2 Receptions7 Rec yards0 Rec TD3.5 Yards/rec
Returns
2 Kick returns24 KR yards0 KR TD

Performance Analysis · 2025 · vs TE peers

  • Efficiency0
  • Volume5
  • Explosiveness0
  • Consistency50
  • 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)0th %ile · below avg
Key findings
  • Below-average efficiency vs TE peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
A.J. DoyleMassachusetts0.0400.02.1
Robby PreckelNorthwestern0.0600.12.5
Blake BellOklahoma0.0700.14.4
Kaden FeaginIllinois0.0400.04.6

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

Game Log · box score + EPA, week by week

+0.3000.30Wk 3 vs Stanford: -0.07 EPA/play3Wk 14 vs Syracuse: -0.30 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3@StanfordL20-30-11.8144.004-0.07
5vsCaliforniaL24-28-3.2
6@PittsburghL7-488.4
14@SyracuseW34-12-13.1133.003-0.30

Usage & Situational · Pro

Snap-share proxy
Overall
1.9%
Passing plays
3.5%
Rushing plays
0.0%
Standard downs
2.7%
Passing downs
0.0%
EPA by down type
Standard downs
-0.36
Passing downs
Pass / Rush EPA
-0.36 / —

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.
Zeke Moore Stats, EPA & Player Profile — Boston College · Gridpex