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Rakeem Boyd

#5Rakeem Boyd

RB·Arkansas·20192.6 pts line valueDay 2 (Rds 2–3)

Rakeem Boyd is a Featured Back for Arkansas. Rakeem's 2019 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 191 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 Rakeem Boyd'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
1133 Rush yards8 Rush TD184 Carries6.2 Yards/carry
Receiving
19 Receptions160 Rec yards0 Rec TD8.4 Yards/rec

Performance Analysis · 2019 · vs RB peers

  • Efficiency50
  • Volume75
  • Explosiveness64
  • Consistency46
  • Receiving42
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)50th %ile · average
Game-to-game consistency46th %ile · average
Key findings
  • 5 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 0.19 from the first to second half of the season.
  • Peak game: 1.50 EPA/play in Wk 11 vs Western Kentucky (SP+ 2).

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
Dalvin CookFlorida State0.3404.399.3
Saquon BarkleyPenn State0.4105.298.4
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

+1.5001.50Wk 1 vs Portland State: +0.41 EPA/play1Wk 2 vs Ole Miss: -0.06 EPA/play2Wk 3 vs Colorado State: +0.17 EPA/play3Wk 4 vs San José State: -0.00 EPA/play4Wk 5 vs Texas A&M: -0.08 EPA/play5Wk 7 vs Kentucky: +0.48 EPA/play7Wk 8 vs Auburn: -0.20 EPA/play8Wk 9 vs Alabama: +0.42 EPA/play9Wk 10 vs Mississippi State: +0.49 EPA/play10Wk 11 vs Western Kentucky: +1.50 EPA/play11Wk 13 vs LSU: +0.02 EPA/play13Wk 14 vs Missouri: -0.14 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsPortland StateW20-13181146.3132200.41
2@Ole MissL17-312.917673.90180-0.06
3vsColorado StateW55-34-3.9201226.120.17
4vsSan José StateL24-31-7.218915.103100-0.00
5vsTexas A&ML27-3115.018894.902100-0.08
7@KentuckyL20-249.1151348.920.48
8vsAuburnL10-5121.013393.002260-0.20
9@AlabamaL7-4832.412504.2045500.42
10vsMississippi StateL24-543.51111410.410.49
11vsWestern KentuckyL19-451.7818523.121.50
13@LSUL20-5633.113332.5022700.02
14vsMissouriL14-247.821954.50220-0.14

Usage & Situational · Pro

Snap-share proxy
Overall
26.3%
Passing plays
6.1%
Rushing plays
51.4%
Standard downs
31.7%
Passing downs
16.4%
EPA by down type
Standard downs
0.06
Passing downs
0.63
Pass / Rush EPA
0.22 / 0.18

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.670−0.38
EPA per play · 2019 · 12 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.