#4D'Angelo Brewer

RB·Tulsa·20172.5 pts line valueDay 3 (Rds 4–7)

D'Angelo Brewer is a Featured Back for Tulsa. D'Angelo's 2017 season ranks in the 8th percentile nationally by opponent-adjusted EPA per play across 291 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 D'Angelo Brewer'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.

2017 Production

Rushing

1517 Rush yards9 Rush TD288 Carries5.3 Yards/carry

Receiving

9 Receptions88 Rec yards0 Rec TD9.8 Yards/rec

Returns

1 Punt returns4 PR yards0 PR TD

Performance Analysis · 2017 · vs RB peers

Efficiency8
Volume100
Explosiveness46
Consistency78
Receiving18

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)8th %ile · below avg

Game-to-game consistency78th %ile · above avg

Key findings

▸Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
▸High-volume role — one of the team's most-used RBs by play share.
▸High game-to-game consistency — reliable floor each week.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Peak game: 0.42 EPA/play in Wk 4 vs New Mexico (SP+ -12).

Historical Comparables · RB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

Player	Team	Yr	Plays	WEPA/play	Line val	Total EPA
Saquon Barkley	Penn State	2016	288	0.340	3.9	97.9
Dalvin Cook	Florida State	2016	292	0.340	4.3	99.3
Donnel Pumphrey	San Diego State	2016	344	0.320	4.2	110.1
Breece Hall	Iowa State	2020	301	0.340	4.5	102.3
Eno Benjamin	Arizona State	2018	316	0.330	4.6	104.3

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

Game Log · box score + EPA, week by week

EPA per play · x-axis: weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Car	Rush Yds	Avg	Rush TD	Rec	Rec Yds	Rec TD	EPA/play
1	@Oklahoma State	L24-59	19.1	22	33	1.5	0	1	18	0	-0.05
2	vsLouisiana	W66-42	-15.8	38	262	6.9	3	—	—	—	0.40
3	@Toledo	L51-54	6.6	38	152	4.0	1	—	—	—	0.15
4	vsNew Mexico	L13-16	-12.4	16	131	8.2	1	1	11	0	0.42
5	vsNavy	L21-31	-0.7	22	65	3.0	1	1	7	0	0.04
6	@Tulane	L28-62	-5.7	7	41	5.9	0	1	12	0	0.23
7	vsHouston	W45-17	7.7	23	140	6.1	1	—	—	—	0.27
9	@SMU	L34-38	-2.9	33	156	4.7	1	—	—	—	0.03
10	vsMemphis	L14-41	7.8	21	119	5.7	0	1	1	0	0.17
12	@South Florida	L20-27	10.2	34	163	4.8	0	3	36	0	0.18
13	vsTemple	L22-43	0.5	34	255	7.5	1	1	3	0	0.35

Usage & Situational · Pro

Snap-share proxy

Overall

36.2%

Passing plays

3.5%

Rushing plays

54.4%

Standard downs

44.7%

Passing downs

18.0%

EPA by down type

Standard downs: 0.17
Passing downs: 0.36
Pass / Rush EPA: 0.61 / 0.18

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

Career · rolling EPA, game by game

Per-game EPA5-game avg

EPA per play · 2017 · 11 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.