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Dillon Bell

#86Dillon Bell

Dillon Bell is a Slot Specialist WR for Georgia. Dillon's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 63 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 Dillon Bell'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

Rushing
109 Rush yards2 Rush TD17 Carries6.4 Yards/carry
Receiving
27 Receptions268 Rec yards2 Rec TD9.9 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness20
  • Consistency14
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency14th %ile · below 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 variance — boom-or-bust profile.
  • 6 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 — 0.42 EPA/play decline from first to second half.
  • Peak game: 2.96 EPA/play in Wk 5 vs Alabama (SP+ 15).

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
Xavier WhiteTexas Tech0.3000.518.6
Noah ShortArmy0.3000.520.7
Malik DunnerBall State0.2900.422.0
Ainias SmithTexas A&M0.3100.517.0
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+2.9602.96Wk 1 vs Marshall: -1.10 EPA/play1Wk 2 vs Austin Peay: -0.27 EPA/play2Wk 3 vs Tennessee: +0.07 EPA/play3Wk 5 vs Alabama: +2.96 EPA/play5Wk 6 vs Kentucky: +1.84 EPA/play6Wk 7 vs Auburn: -0.56 EPA/play7Wk 8 vs Ole Miss: +1.22 EPA/play8Wk 10 vs Florida: +1.41 EPA/play10Wk 11 vs Mississippi State: -0.84 EPA/play11Wk 12 vs Texas: +0.84 EPA/play12Wk 13 vs Charlotte: -0.33 EPA/play13Wk 14 vs Georgia Tech: -0.54 EPA/play14Wk 15 vs Alabama: +0.53 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMarshallW45-7-4.5100.000-1.10
2vsAustin PeayW28-62-2-1.003-0.27
3@TennesseeW44-4115.04235.80100.07
5vsAlabamaL21-2414.82.96
6vsKentuckyW35-141.846817.00331.84
7@AuburnW20-1011.6-0.56
8vsOle MissW43-3524.025728.50361.22
10vsFloridaW24-203.544310.81171.41
11@Mississippi StateW41-214.111515.0015-0.84
12vsTexasW35-1016.222010.00110.84
13vsCharlotteW35-3-26.7177.007-0.33
14vsGeorgia TechW16-99.3231.506-0.54
15vsAlabamaW28-714.844511.31190.53
20vsOle MissL34-3924.00-110.000

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
10.8%
Rushing plays
3.0%
Standard downs
5.4%
Passing downs
8.8%
EPA by down type
Standard downs
0.18
Passing downs
0.49
Pass / Rush EPA
0.37 / 0.11

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.