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Makai Lemon

#6Makai Lemon

WR·USC·2025

Makai Lemon is a Versatile WR for USC. Makai's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 115 plays — a elite rate for the WR.

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 Makai Lemon'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
79 Receptions1156 Rec yards11 Rec TD14.6 Yards/rec
Returns
8 Kick returns144 KR yards0 KR TD6 Punt returns71 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume42
  • Explosiveness51
  • Consistency76
  • Pass-Down33
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 consistency76th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.53 EPA/play decline from first to second half.
  • Peak game: 2.00 EPA/play in Wk 2 vs Georgia Southern (SP+ -9).

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
Quadree HendersonPittsburgh0.5301.633.4
Keytaon ThompsonMississippi State0.4601.232.2
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 1 vs Missouri State: +0.79 EPA/play1Wk 2 vs Georgia Southern: +2.00 EPA/play2Wk 3 vs Purdue: +0.27 EPA/play3Wk 4 vs Michigan State: +1.12 EPA/play4Wk 5 vs Illinois: +0.83 EPA/play5Wk 7 vs Michigan: +0.56 EPA/play7Wk 8 vs Notre Dame: +0.27 EPA/play8Wk 10 vs Nebraska: -0.05 EPA/play10Wk 11 vs Northwestern: +0.65 EPA/play11Wk 12 vs Iowa: +0.94 EPA/play12Wk 13 vs Oregon: +0.07 EPA/play13Wk 14 vs UCLA: +0.51 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMissouri StateW73-13-10.779012.90260.79
2vsGeorgia SouthernW59-20-9.4415839.52742.00
3@PurdueW33-17-6.156312.60210.27
4vsMichigan StateW45-31-3.4812715.91401.12
5@IllinoisL32-3412.91115113.72290.83
7vsMichiganW31-1312.499310.31280.56
8@Notre DameL24-3424.447619.00420.27
10@NebraskaW21-176.22189.0016-0.05
11vsNorthwesternW38-175.81116114.61520.65
12vsIowaW26-2119.71015315.31350.94
13@OregonL27-4225.97344.9290.07
14vsUCLAW29-10-8.713232.01320.51

Usage & Situational · Pro

Snap-share proxy
Overall
14.7%
Passing plays
27.9%
Rushing plays
1.8%
Standard downs
13.2%
Passing downs
19.2%
EPA by down type
Standard downs
0.69
Passing downs
0.59
Pass / Rush EPA
0.71 / -0.21

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.