#22Terence Williams

RB·Baylor·20162.4 pts line valueDay 3 (Rds 4–7)

Terence Williams is a Explosive Back for Baylor. Terence's 2016 season ranks in the 30th percentile nationally by opponent-adjusted EPA per play across 168 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 Terence Williams'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.

2016 Production

Rushing

1048 Rush yards11 Rush TD185 Carries5.7 Yards/carry

Receiving

2 Receptions22 Rec yards0 Rec TD11.0 Yards/rec

Performance Analysis · 2016 · vs RB peers

Efficiency30
Volume52
Explosiveness54
Consistency69
Receiving9

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)30th %ile · below avg

Game-to-game consistency69th %ile · average

Key findings

▸Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
▸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 — 0.11 EPA/play decline from first to second half.
▸Peak game: 0.65 EPA/play in Wk 1 vs Northwestern State.

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
Travis Etienne	Clemson	2019	213	0.470	4.7	100.1
Saquon Barkley	Penn State	2016	288	0.340	3.9	97.9
Saquon Barkley	Penn State	2017	240	0.410	5.2	98.4
Clyde Edwards-Helaire	LSU	2019	216	0.490	5.0	105.8
James Flanders	Tulsa	2016	266	0.390	4.9	103.7

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

Game Log · box score + EPA, week by week

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	vsNorthwestern State	W55-7	—	11	72	6.5	2	—	—	—	0.65
2	vsSMU	W40-13	-10.8	19	81	4.3	0	—	—	—	0.29
3	@Rice	W38-10	-16.5	12	79	6.6	1	—	—	—	0.16
4	vsOklahoma State	W35-24	16.4	13	52	4.0	1	1	23	0	-0.21
5	@Iowa State	W45-42	0.7	16	126	7.9	2	1	-1	0	0.46
7	vsKansas	W49-7	-15.9	8	33	4.1	1	—	—	—	0.39
9	@Texas	L34-35	10.6	24	180	7.5	1	—	—	—	0.46
10	vsTCU	L22-62	11.0	18	68	3.8	0	—	—	—	0.10
11	@Oklahoma	L24-45	26.1	5	17	3.4	0	—	—	—	-0.16
13	vsTexas Tech	L35-54	3.7	23	147	6.4	2	—	—	—	0.21
14	@West Virginia	L21-24	11.3	11	90	8.2	1	—	—	—	0.42
1	vsBoise State	W31-12	11.5	25	103	4.1	0	—	—	—	0.07

Usage & Situational · Pro

Snap-share proxy

Overall

18.1%

Passing plays

0.9%

Rushing plays

31.8%

Standard downs

21.1%

Passing downs

11.1%

EPA by down type

Standard downs: 0.20
Passing downs: 0.42
Pass / Rush EPA: -0.03 / 0.25

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 · 2016 · 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.