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Terry Lockett

Terry Lockett

Terry Lockett is a Versatile WR for Eastern Michigan. Terry's 2025 season produced 13.9 total EPA across 40 plays.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Terry Lockett'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
19 Receptions263 Rec yards1 Rec TD13.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume36
  • Explosiveness46
  • Consistency55
  • Pass-Down35
Player type
Versatile WR

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 consistency55th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Peak game: 1.07 EPA/play in Wk 1 vs Texas State (SP+ 2).

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 · WR · 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
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+1.0701.07Wk 1 vs Texas State: +1.07 EPA/play1Wk 2 vs Long Island University: +0.27 EPA/play2Wk 3 vs Kentucky: +0.32 EPA/play3Wk 4 vs Louisiana: +0.34 EPA/play4Wk 5 vs Central Michigan: -0.42 EPA/play5
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Texas StateL27-522.356212.40281.07
2vsLong Island UniversityL23-288789.80200.27
3@KentuckyL23-481.839030.01640.32
4vsLouisianaW34-31-10.122914.50230.34
5@Central MichiganL13-24-8.8144.004-0.42

Usage & Situational · Pro

Snap-share proxy
Overall
12.5%
Passing plays
23.1%
Rushing plays
0.0%
Standard downs
12.7%
Passing downs
12.2%
EPA by down type
Standard downs
0.37
Passing downs
0.28
Pass / Rush EPA
0.35 / —

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.