#24Zack Langer

RB·Tulsa·20153.3 pts line valueDay 2 (Rds 2–3)

Zack Langer is a Explosive Back for Tulsa. Zack's 2015 season ranks in the 53th percentile nationally by opponent-adjusted EPA per play across 201 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 Zack Langer'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.

2015 Production

Rushing

777 Rush yards18 Rush TD201 Carries3.9 Yards/carry

Receiving

4 Receptions61 Rec yards0 Rec TD15.3 Yards/rec

Performance Analysis · 2015 · vs RB peers

Efficiency53
Volume62
Explosiveness18
Consistency17
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)53th %ile · average

Game-to-game consistency17th %ile · below avg

Key findings

▸High game-to-game variance — boom-or-bust profile.
▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.09 EPA/play decline from first to second half.
▸Peak game: 0.63 EPA/play in Wk 1 vs Virginia Tech (SP+ 11).

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
Travis Etienne	Clemson	2019	213	0.470	4.7	100.1
Saquon Barkley	Penn State	2017	240	0.410	5.2	98.4
James Flanders	Tulsa	2016	266	0.390	4.9	103.7
Dalvin Cook	Florida State	2016	292	0.340	4.3	99.3

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	vsFlorida Atlantic	W47-44	-9.8	24	89	3.7	3	1	34	0	0.50
2	@New Mexico	W40-21	-8.7	33	139	4.2	1	—	—	—	0.06
3	@Oklahoma	L38-52	22.7	31	161	5.2	1	2	20	0	0.20
5	vsHouston	L24-38	6.2	19	62	3.3	3	—	—	—	0.02
6	vsUL Monroe	W34-24	-14.7	28	69	2.5	2	—	—	—	0.03
7	@East Carolina	L17-30	-0.5	18	76	4.2	1	—	—	—	0.23
9	@SMU	W40-31	-17.5	16	35	2.2	3	—	—	—	0.47
11	@Cincinnati	L38-49	5.3	1	0	0.0	0	—	—	—	-0.73
12	vsNavy	L21-44	12.1	15	69	4.6	2	1	7	0	0.06
13	@Tulane	W45-34	-14.0	8	14	1.8	1	—	—	—	-0.08
1	vsVirginia Tech	L52-55	11.4	8	63	7.9	1	—	—	—	0.63

Usage & Situational · Pro

Snap-share proxy

Overall

21.6%

Passing plays

1.1%

Rushing plays

43.0%

Standard downs

26.4%

Passing downs

11.5%

EPA by down type

Standard downs: 0.19
Passing downs: 0.25
Pass / Rush EPA: 1.33 / 0.17

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 · 2015 · 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.