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Beaux Collins

#5Beaux Collins

Beaux Collins is a Versatile WR for Notre Dame. Beaux's 2024 season produced 35.3 total EPA across 44 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 Beaux Collins'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.

2024 Production

Receiving
41 Receptions490 Rec yards3 Rec TD12.0 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness33
  • Consistency57
  • Pass-Down90
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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 8 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 0.53 from the first to second half of the season.
  • Peak game: 1.56 EPA/play in Wk 9 vs Navy (SP+ 4).

NIL Market Tier· 2024

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
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
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

+2.0802.08Wk 1 vs Texas A&M: +1.34 EPA/play1Wk 2 vs Northern Illinois: +1.07 EPA/play2Wk 3 vs Purdue: +0.29 EPA/play3Wk 4 vs Miami (OH): +1.11 EPA/play4Wk 5 vs Louisville: -2.08 EPA/play5Wk 7 vs Stanford: +1.26 EPA/play7Wk 8 vs Georgia Tech: +0.47 EPA/play8Wk 9 vs Navy: +1.56 EPA/play9Wk 11 vs Florida State: +1.49 EPA/play11Wk 12 vs Virginia: +0.19 EPA/play12Wk 13 vs Army: +0.87 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Texas A&MW23-1317.056212.40201.34
2vsNorthern IllinoisL14-16-3.55459.00151.07
3@PurdueW66-7-16.2294.5060.29
4vsMiami (OH)W28-31.346015.01381.11
5vsLouisvilleW31-2413.6155.005-2.08
7vsStanfordW49-7-8.248521.30531.26
8vsGeorgia TechW31-131.955110.20150.47
9vsNavyW51-143.524221.01371.56
11vsFlorida StateW52-3-3.211515.00151.49
12vsVirginiaW35-14-5.111616.00160.19
13vsArmyW49-149.24379.30140.87
20vsGeorgiaW23-1024.311313.0113
20vsIndianaW27-1720.12189.0010
20vsOhio StateL23-3431.24328.0012

Usage & Situational · Pro

Snap-share proxy
Overall
5.0%
Passing plays
10.7%
Rushing plays
0.2%
Standard downs
4.9%
Passing downs
5.4%
EPA by down type
Standard downs
0.72
Passing downs
0.97
Pass / Rush EPA
0.86 / -1.76

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.