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Chamon Metayer

#7Chamon Metayer

Chamon Metayer is a Slot Specialist TE for Arizona State. Chamon's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 50 plays — a elite rate for the TE.

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 Chamon Metayer'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
38 Receptions375 Rec yards4 Rec TD9.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume18
  • Explosiveness19
  • Consistency0
  • Pass-Down100
Player type
Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency0th %ile · below avg
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 variance — boom-or-bust profile.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.38 EPA/play decline from first to second half.
  • Peak game: 1.35 EPA/play in Wk 10 vs Iowa State (SP+ 10).

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
Seth GreenMinnesota0.3900.032.4
Ty ThompsonTulane0.4200.720.2
Jordan MyersRice0.2700.215.9
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

+1.7901.79Wk 1 vs Northern Arizona: +0.68 EPA/play1Wk 3 vs Texas State: +0.99 EPA/play3Wk 4 vs Baylor: +0.71 EPA/play4Wk 5 vs TCU: -0.63 EPA/play5Wk 8 vs Texas Tech: +0.14 EPA/play8Wk 9 vs Houston: +0.54 EPA/play9Wk 10 vs Iowa State: +1.35 EPA/play10Wk 12 vs West Virginia: +0.10 EPA/play12Wk 13 vs Colorado: -0.23 EPA/play13Wk 14 vs Arizona: -1.79 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorthern ArizonaW38-1912020.00200.68
3vsTexas StateW34-152.366010.01270.99
4@BaylorW27-241.46559.20150.71
5vsTCUW27-248.34256.3012-0.63
8vsTexas TechW26-2227.646616.50230.14
9vsHoustonL16-247.445513.81270.54
10@Iowa StateW24-199.966811.31181.35
12vsWest VirginiaW25-23-6.84215.3160.10
13@ColoradoW42-17-8.3294.506-0.23
14vsArizonaL7-2312.01-4-4.00-4-1.79

Usage & Situational · Pro

Snap-share proxy
Overall
6.3%
Passing plays
12.7%
Rushing plays
0.3%
Standard downs
4.5%
Passing downs
9.9%
EPA by down type
Standard downs
0.18
Passing downs
0.53
Pass / Rush EPA
0.39 / -0.84

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.