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Lorenzo Lee Nunez
Lorenzo Lee Nunez

Lorenzo Lee Nunez

WR·South Carolina·20151.4 pts line value1st Round

Lorenzo Lee Nunez is a Versatile WR for South Carolina. Lorenzo's 2015 season ranks in the 75th percentile nationally by opponent-adjusted EPA per play across 101 plays — a above-average 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 Lorenzo Lee Nunez'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.

2015 Production

Passing
32/52 Comp/Att376 Pass yards3 Pass TD3 INT61.5% Comp %
Rushing
375 Rush yards2 Rush TD59 Carries6.4 Yards/carry

Performance Analysis · 2015 · vs WR peers

  • Efficiency75
  • Volume60
  • Explosiveness100
  • Consistency0
  • Pass-Down100
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)75th %ile · above avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Above-average efficiency for the WR position (75th percentile).
  • 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 — 0.57 EPA/play decline from first to second half.
  • Peak game: 2.61 EPA/play in Wk 9 vs Texas A&M (SP+ 14).

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 ThompsonMississippi State0.4601.232.2
Kawaan BakerSouth Alabama0.4101.425.8
Kendall HintonWake Forest0.4602.438.6
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2

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

Game Log · EPA per play, week by week

+2.6102.61Wk 2 vs Kentucky: +1.52 EPA/play2Wk 3 vs Georgia: +0.42 EPA/play3Wk 4 vs UCF: +0.46 EPA/play4Wk 5 vs Missouri: +0.15 EPA/play5Wk 9 vs Texas A&M: +2.61 EPA/play9Wk 10 vs Tennessee: -0.46 EPA/play10Wk 11 vs Florida: -2.35 EPA/play11Wk 13 vs Clemson: +0.46 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+EPA/playPassRush
2vsKentuckyL22-26-0.31.521.52
3@GeorgiaL20-5216.80.42-0.220.74
4vsUCFW31-14-15.50.460.530.37
5@MissouriL10-243.40.15-0.040.64
9@Texas A&ML28-3514.12.612.61
10@TennesseeL24-2719.5-0.46-0.46
11vsFloridaL14-2413.8-2.35-2.35
13vsClemsonL32-3724.00.46-0.740.72

Usage & Situational · Pro

Snap-share proxy
Overall
21.1%
Passing plays
24.2%
Rushing plays
19.3%
Standard downs
18.7%
Passing downs
25.3%
EPA by down type
Standard downs
0.21
Passing downs
0.53
Pass / Rush EPA
0.18 / 0.56

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+3.100−2.85
EPA per play · 2015 · 8 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.