D.J. Foster

WR·Arizona State·2014 20131.0 pts line value1st Round

D.J. Foster is a 2-year Workhorse Receiver WR for Arizona State.

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 D.J. Foster'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.

2014 Production

Rushing

1081 Rush yards9 Rush TD194 Carries5.6 Yards/carry

Receiving

62 Receptions688 Rec yards3 Rec TD11.1 Yards/rec

Performance Analysis · 2014 · vs WR peers

Efficiency29
Volume83
Explosiveness27
Consistency66
Pass-Down50

Player type

Workhorse Receiver WR

The primary target in the offense — used across all situations and down-types at an elite volume.

Top target shareAll-down utilityOffense runs through this player

Peer percentiles

Opponent-adjusted EPA (WEPA/play)29th %ile · below avg

Game-to-game consistency66th %ile · average

Key findings

▸Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
▸High-volume role — one of the team's most-used WRs by play share.
▸4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.19 EPA/play decline from first to second half.
▸Peak game: 0.73 EPA/play in Wk 13 vs Washington State (SP+ -2).

Historical Comparables · WR · 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
Hyleck Foster	Marshall	2015	101	0.180	0.5	18.2
Eli Heidenreich	Navy	2025	70	0.220	0.8	15.4
Justin Lynch	Northern Illinois	2022	66	0.230	0.7	15.2
Davis Bryson	Kennesaw State	2024	97	0.200	0.0	19.4
De'Michael Harris	Southern Miss	2019	117	0.130	0.7	15.2

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

Game Log · EPA per play, week by week

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

Wk	Opponent	Result	Opp SP+	EPA/play	Pass	Rush
1	Weber State	W36-31	—	0.61	0.06	0.83
1	Duke	W36-31	7.0	0.37	0.36	0.37
2	New Mexico	W58-23	-15.0	0.73	1.10	0.66
3	Colorado	W38-24	-5.0	0.50	1.94	0.21
6	USC	W38-34	17.1	-0.15	0.31	-0.60
8	Stanford	W26-10	21.4	0.12	0.74	-0.10
9	Washington	W24-10	7.8	0.01	0.46	-0.19
10	Utah	W19-16	8.8	-0.11	-0.13	-0.10
11	Notre Dame	W55-31	10.8	0.32	0.82	0.27
12	Oregon State	L27-35	3.2	0.09	0.30	-0.06
13	Washington State	W52-31	-1.7	0.73	0.72	0.73
14	Arizona	L35-42	7.6	-0.02	0.61	-0.46

Usage & Situational · Pro

Snap-share proxy

Overall

29.2%

Passing plays

17.7%

Rushing plays

41.9%

Standard downs

31.5%

Passing downs

24.4%

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 · 2013 — 2014 · 26 games

Season	Team	Line value	WEPA/play	YoY Δ	Total EPA
2013	Arizona State	0.0	0.020	—	1.7
2014	Arizona State	1.0	0.200	+0.18	34.8

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.