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Parker Livingstone
Parker Livingstone

#3Parker Livingstone

WR·Texas·2025

Parker Livingstone is a Red Zone Weapon WR for Texas. Parker's 2025 season produced 14.2 total EPA across 48 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 Parker Livingstone'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
29 Receptions516 Rec yards6 Rec TD17.8 Yards/rec
Returns
1 Kick returns4 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness72
  • Consistency48
  • Pass-Down100
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency48th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.08 from the first to second half of the season.
  • Peak game: 2.02 EPA/play in Wk 2 vs San José State (SP+ -14).

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
Nick NashSan José State0.3100.514.0
Keytaon ThompsonVirginia0.3200.412.5
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6
Tyler BuchnerNotre Dame0.2500.312.8

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

Game Log · box score + EPA, week by week

+2.0202.02Wk 1 vs Ohio State: -0.63 EPA/play1Wk 2 vs San José State: +2.02 EPA/play2Wk 3 vs UTEP: -1.00 EPA/play3Wk 4 vs Sam Houston: +1.02 EPA/play4Wk 6 vs Florida: +0.59 EPA/play6Wk 7 vs Oklahoma: +0.58 EPA/play7Wk 9 vs Mississippi State: +0.83 EPA/play9Wk 10 vs Vanderbilt: +0.43 EPA/play10Wk 12 vs Georgia: -0.14 EPA/play12Wk 13 vs Arkansas: +1.27 EPA/play13Wk 14 vs Texas A&M: +0.18 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Ohio StateL7-1430.124723.5132-0.63
2vsSan José StateW38-7-14.3412832.02832.02
3vsUTEPW27-10-17.522311.5022-1.00
4vsSam HoustonW55-0-27.833411.30151.02
6@FloridaL21-293.524723.50330.59
7vsOklahomaW23-618.322914.50210.58
9@Mississippi StateW45-384.14225.52140.83
10vsVanderbiltW34-3120.322110.50110.43
12@GeorgiaL10-3524.12178.5013-0.14
13vsArkansasW52-375.1210452.01541.27
14vsTexas A&MW27-1720.711919.00190.18
20vsMichiganW41-2712.43258.3012

Usage & Situational · Pro

Snap-share proxy
Overall
5.9%
Passing plays
11.5%
Rushing plays
0.0%
Standard downs
5.7%
Passing downs
6.3%
EPA by down type
Standard downs
0.03
Passing downs
0.74
Pass / Rush EPA
0.29 / —

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.