#86Sam Roush

TE·Stanford·2025

Sam Roush is a Versatile TE for Stanford. Sam's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 66 plays — a elite rate for the TE.

What projects, and what doesn't · TEs · 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)0.42
Beats guessing the TE average by 9%. n=2,225 TE seasons
EPA per play (efficiency)0.04
Not projectable — we do not forecast this. n=2,016 TE seasons
Total EPA (value)0.46
Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Sam Roush'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.

2025 Production

Receiving

49 Receptions545 Rec yards2 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

Efficiency100
Volume28
Explosiveness27
Consistency50
Pass-Down67

Player type

Versatile TE

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role

Peer percentiles

Opponent-adjusted EPA (WEPA/play)100th %ile · elite

Game-to-game consistency50th %ile · average

Key findings

▸Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.32 EPA/play decline from first to second half.
▸Peak game: 1.20 EPA/play in Wk 3 vs Boston College (SP+ -9).

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · TE · 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
Jordan Myers	Rice	2021	59	0.270	0.2	15.9
Johnny Langan	Rutgers	2020	59	0.300	0.0	17.7
Evan Svoboda	Wyoming	2024	75	0.290	0.5	21.8
Johnny Langan	Rutgers	2021	37	0.240	0.0	8.9
Jackson Acker	Wisconsin	2023	73	0.210	0.1	15.3

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+	Rec	Rec Yds	Avg	Rec TD	Long	EPA/play
0	@Hawai'i	L20-23	1.7	3	6	2.0	0	3	—
2	@BYU	L3-27	15.9	1	2	2.0	0	2	-0.67
3	vsBoston College	W30-20	-8.5	3	79	26.3	1	69	1.20
5	vsSan José State	W30-29	-14.3	3	43	14.3	1	21	0.73
7	@SMU	L10-34	13.4	8	89	11.1	0	14	0.68
8	vsFlorida State	W20-13	7.2	6	63	10.5	0	16	0.42
9	@Miami	L7-42	20.7	5	23	4.6	0	7	-0.22
10	vsPittsburgh	L20-35	8.4	8	104	13.0	0	53	0.48
11	@North Carolina	L15-20	-6.6	6	49	8.2	0	12	0.29
13	vsCalifornia	W31-10	-3.2	2	14	7.0	0	11	-0.33
14	vsNotre Dame	L20-49	24.4	4	73	18.3	0	27	0.61

Usage & Situational · Pro

Snap-share proxy

Overall

9.8%

Passing plays

18.6%

Rushing plays

0.0%

Standard downs

8.5%

Passing downs

12.4%

EPA by down type

Standard downs: 0.24
Passing downs: 0.34
Pass / Rush EPA: 0.28 / —

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