#20Bryce Love

RB·Stanford·20176.7 pts line value1st Round

Bryce Love is a Featured Back for Stanford. Bryce's 2017 season ranks in the 85th percentile nationally by opponent-adjusted EPA per play across 268 plays — a above-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 Bryce Love'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

2118 Rush yards19 Rush TD263 Carries8.1 Yards/carry

Receiving

6 Receptions33 Rec yards0 Rec TD5.5 Yards/rec

Performance Analysis · 2017 · vs RB peers

Efficiency85
Volume96
Explosiveness100
Consistency65
Receiving12

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)85th %ile · above avg

Game-to-game consistency65th %ile · average

Key findings

▸Above-average efficiency for the RB position (85th percentile).
▸High-volume role — one of the team's most-used RBs by play share.
▸4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Production faded as the season progressed — 0.45 EPA/play decline from first to second half.
▸Peak game: 0.87 EPA/play in Wk 1 vs Rice (SP+ -24).

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
Blake Corum	Michigan	2022	266	0.450	6.5	119.7
Tyler Allgeier	BYU	2021	271	0.440	6.3	119.2
Samaje Perine	Oklahoma	2014	282	0.430	6.8	121.3
RJ Harvey	UCF	2024	242	0.470	6.9	113.7
Najee Harris	Alabama	2020	275	0.440	5.9	121.0

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	vsRice	W62-7	-23.6	13	180	13.8	1	—	—	—	0.87
2	@USC	L24-42	17.9	17	160	9.4	1	—	—	—	0.50
3	@San Diego State	L17-20	4.5	13	184	14.2	2	1	3	0	0.59
4	vsUCLA	W58-34	4.9	30	263	8.8	1	1	2	0	0.28
5	vsArizona State	W34-24	1.0	25	301	12.0	3	—	—	—	0.57
6	@Utah	W23-20	12.0	20	152	7.6	1	2	14	0	0.06
7	vsOregon	W49-7	9.1	17	147	8.6	2	—	—	—	0.33
10	@Washington State	L21-24	8.6	16	69	4.3	1	—	—	—	-0.29
11	vsWashington	W30-22	22.1	30	166	5.5	3	1	12	0	0.26
12	vsCalifornia	W17-14	-1.0	14	101	7.2	1	1	2	0	-0.06
13	vsNotre Dame	W38-20	20.8	20	125	6.3	0	—	—	—	-0.02
14	vsUSC	L28-31	17.9	22	125	5.7	1	—	—	—	0.16
1	vsTCU	L37-39	18.9	26	145	5.6	2	—	—	—	0.11

Usage & Situational · Pro

Snap-share proxy

Overall

33.7%

Passing plays

2.3%

Rushing plays

60.0%

Standard downs

39.9%

Passing downs

22.0%

EPA by down type

Standard downs: 0.19
Passing downs: 0.44
Pass / Rush EPA: -0.37 / 0.27

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 · 13 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.