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Brandon Burks

#32Brandon Burks

RB·Troy·20131.2 pts line valueDay 3 (Rds 4–7)

Brandon Burks is a Explosive Back for Troy. Brandon's 2013 season ranks in the 15th percentile nationally by opponent-adjusted EPA per play across 161 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Brandon Burks'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.

2013 Production

Rushing
675 Rush yards2 Rush TD134 Carries5.0 Yards/carry
Receiving
36 Receptions188 Rec yards0 Rec TD5.2 Yards/rec
Returns
10 Kick returns181 KR yards0 KR TD

Performance Analysis · 2013 · vs RB peers

  • Efficiency15
  • Volume53
  • Explosiveness40
  • Consistency47
  • Receiving60
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)15th %ile · below avg
Game-to-game consistency47th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.63 EPA/play in Wk 10 vs UL Monroe (SP+ -26).

Historical Comparables · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3

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

Game Log · box score + EPA, week by week

+0.6300.63Wk 1 vs UAB: +0.05 EPA/play1Wk 2 vs Savannah State: +0.38 EPA/play2Wk 3 vs Arkansas State: -0.08 EPA/play3Wk 4 vs Mississippi State: +0.14 EPA/play4Wk 5 vs Duke: +0.29 EPA/play5Wk 6 vs South Alabama: +0.36 EPA/play6Wk 7 vs Georgia State: -0.07 EPA/play7Wk 9 vs Western Kentucky: +0.06 EPA/play9Wk 10 vs UL Monroe: +0.63 EPA/play10Wk 11 vs Louisiana: +0.41 EPA/play11Wk 12 vs Ole Miss: -0.46 EPA/play12Wk 14 vs Texas State: +0.17 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUABW34-31-20.89414.6152900.05
2vsSavannah StateW66-38313.9031500.38
3@Arkansas StateL34-41-16.29202.206310-0.08
4@Mississippi StateL7-6210.78435.402800.14
5@DukeL31-385.016684.3033100.29
6vsSouth AlabamaW34-33-10.2171005.9052200.36
7@Georgia StateW35-28-32.6231134.90370-0.07
9@Western KentuckyW32-26-3.19525.802500.06
10vsUL MonroeL37-49-26.27415.9023000.63
11@LouisianaL36-41-12.5151268.403700.41
12@Ole MissL21-5112.4581.61160-0.46
14vsTexas StateW42-28-13.78324.001-300.17

Usage & Situational · Pro

Snap-share proxy
Overall
18.6%
Passing plays
6.1%
Rushing plays
33.5%
Standard downs
19.5%
Passing downs
16.8%
EPA by down type
Standard downs
0.01
Passing downs
0.59
Pass / Rush EPA
0.47 / 0.11

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.740−0.57
EPA per play · 2013 · 36 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.