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Jabre Barber

#1Jabre Barber

Jabre Barber is a Versatile WR for Texas A&M. Jabre's 2024 season produced 32.9 total EPA across 49 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 Jabre Barber'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
38 Receptions381 Rec yards2 Rec TD10.0 Yards/rec
Returns
6 Punt returns21 PR yards0 PR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness20
  • Consistency79
  • 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)100th %ile · elite
Game-to-game consistency79th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 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 0.71 from the first to second half of the season.
  • Peak game: 1.64 EPA/play in Wk 13 vs Auburn (SP+ 10).

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

+1.6401.64Wk 3 vs Florida: +0.72 EPA/play3Wk 4 vs Bowling Green: +0.42 EPA/play4Wk 5 vs Arkansas: -0.18 EPA/play5Wk 6 vs Missouri: +0.25 EPA/play6Wk 8 vs Mississippi State: +1.04 EPA/play8Wk 9 vs LSU: +0.57 EPA/play9Wk 10 vs South Carolina: +1.40 EPA/play10Wk 12 vs New Mexico State: +1.01 EPA/play12Wk 13 vs Auburn: +1.64 EPA/play13Wk 14 vs Texas: +0.60 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3@FloridaW33-2013.8294.5090.72
4vsBowling GreenW26-20-1.83134.3060.42
5vsArkansasW21-1711.022311.5013-0.18
6vsMissouriW41-1014.03217.00130.25
8@Mississippi StateW34-24-4.169215.30581.04
9vsLSUW38-2315.922713.50140.57
10@South CarolinaL20-4416.978011.41161.40
12vsNew Mexico StateW38-3-19.02168.00111.01
13@AuburnL41-439.524422.00361.64
14vsTexasL7-1724.1284.0040.60
20vsUSCL31-3511.97486.9116

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
13.2%
Rushing plays
1.9%
Standard downs
5.7%
Passing downs
8.7%
EPA by down type
Standard downs
0.27
Passing downs
1.26
Pass / Rush EPA
0.82 / -0.10

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.