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DK Billingsley

#20DK Billingsley

RB·Troy·20192.4 pts line valueDay 3 (Rds 4–7)

DK Billingsley is a Explosive Back for Troy. DK's 2019 season ranks in the 55th percentile nationally by opponent-adjusted EPA per play across 188 plays — a average 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 DK Billingsley'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.

2019 Production

Rushing
901 Rush yards10 Rush TD155 Carries5.8 Yards/carry
Receiving
25 Receptions211 Rec yards0 Rec TD8.4 Yards/rec

Performance Analysis · 2019 · vs RB peers

  • Efficiency55
  • Volume61
  • Explosiveness56
  • Consistency63
  • Receiving65
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)55th %ile · average
Game-to-game consistency63th %ile · average
Key findings
  • 4 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 0.16 from the first to second half of the season.
  • Peak game: 0.90 EPA/play in Wk 9 vs Georgia State (SP+ -11).

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
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.4105.298.4
Dalvin CookFlorida State0.3404.399.3
James FlandersTulsa0.3904.9103.7

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

Game Log · box score + EPA, week by week

+0.9000.90Wk 1 vs Campbell: +0.60 EPA/play1Wk 3 vs Southern Miss: +0.10 EPA/play3Wk 4 vs Akron: +0.27 EPA/play4Wk 5 vs Arkansas State: +0.09 EPA/play5Wk 6 vs Missouri: -0.22 EPA/play6Wk 8 vs South Alabama: +0.30 EPA/play8Wk 9 vs Georgia State: +0.90 EPA/play9Wk 10 vs Coastal Carolina: +0.14 EPA/play10Wk 11 vs Georgia Southern: +0.68 EPA/play11Wk 12 vs Texas State: -0.26 EPA/play12Wk 13 vs Louisiana: +0.45 EPA/play13Wk 14 vs App State: +0.20 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsCampbellW43-1412867.2211400.60
3vsSouthern MissL42-47-4.89414.6122000.10
4@AkronW35-7-29.8221004.510.27
5vsArkansas StateL43-50-2.9201035.205900.09
6@MissouriL10-427.88222.80150-0.22
8vsSouth AlabamaW37-13-20.3201005.0021500.30
9@Georgia StateL33-52-10.59819.0321800.90
10@Coastal CarolinaL35-36-12.814835.901700.14
11vsGeorgia SouthernW49-28-4.51416311.6232800.68
12@Texas StateW63-27-16.212403.302100-0.26
13@LouisianaL3-539.610686.8023700.45
14vsApp StateL13-4811.35142.8144800.20

Usage & Situational · Pro

Snap-share proxy
Overall
21.4%
Passing plays
7.6%
Rushing plays
40.8%
Standard downs
24.4%
Passing downs
13.3%
EPA by down type
Standard downs
0.22
Passing downs
0.63
Pass / Rush EPA
0.21 / 0.31

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.010−0.37
EPA per play · 2019 · 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.