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Sterling Lockett
Sterling Lockett

#6Sterling Lockett

Sterling Lockett is a Slot Specialist WR for Kansas State.

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 Sterling 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
3 Receptions39 Rec yards0 Rec TD13.0 Yards/rec
Returns
2 Kick returns44 KR yards0 KR TD13 Punt returns56 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume9
  • Explosiveness40
  • Consistency47
  • Pass-Down45
Player type
Slot Specialist WR

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 consistency47th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 1.80 EPA/play in Wk 14 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.

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Quadree HendersonPittsburgh0.5301.633.4

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

Game Log · box score + EPA, week by week

+1.8001.80Wk 3 vs Arizona: -0.46 EPA/play3Wk 5 vs UCF: +0.26 EPA/play5Wk 14 vs Colorado: +1.80 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorth DakotaW38-35
2vsArmyL21-240.8
3@ArizonaL17-2312.0-0.46
5vsUCFW34-20-1.211313.00130.26
6@BaylorL34-351.4
7vsTCUW41-288.3
9@KansasW42-174.1
12@Oklahoma StateW14-6-15.1
13@UtahL47-5122.2
14vsColoradoW24-14-8.322613.00191.80

Usage & Situational · Pro

Snap-share proxy
Overall
3.2%
Passing plays
8.2%
Rushing plays
0.0%
Standard downs
0.8%
Passing downs
7.9%
EPA by down type
Standard downs
0.56
Passing downs
0.53
Pass / Rush EPA
0.53 / —

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.