#86Lawson Albright

TE·Northwestern·2025

Lawson Albright is a Slot Specialist TE for Northwestern.

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 Lawson Albright'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

9 Receptions78 Rec yards1 Rec TD8.7 Yards/rec

Performance Analysis · 2025 · vs TE peers

Efficiency100
Volume7
Explosiveness11
Consistency60
Pass-Down0

Player type

Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share

Peer percentiles

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

Game-to-game consistency60th %ile · average

Key findings

▸Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Strong second-half surge — EPA/play improved 0.98 from the first to second half of the season.
▸Peak game: 2.25 EPA/play in Wk 13 vs Minnesota (SP+ 2).

NIL Market Tier· 2025

On3 valuation ↗

Elite

Top-3 player at position nationally. Collective + national brand deals.

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
Ty Thompson	Tulane	2024	48	0.420	0.7	20.2
Seth Green	Minnesota	2018	83	0.390	0.0	32.4

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
2	vsWestern Illinois	W42-7	—	1	5	5.0	0	5	0.01
3	vsOregon	L14-34	25.9	—	—	—	—	—	0.81
6	vsUL Monroe	W42-7	-21.6	1	7	7.0	0	7	-0.43
8	vsPurdue	W19-0	-6.1	1	11	11.0	0	11	0.61
9	@Nebraska	L21-28	6.2	1	4	4.0	0	4	-0.06
11	@USC	L17-38	16.9	1	3	3.0	0	3	0.91
12	vsMichigan	L22-24	12.4	1	4	4.0	0	4	-0.06
13	vsMinnesota	W38-35	1.5	—	—	—	—	—	2.25
14	@Illinois	L13-20	12.9	1	17	17.0	0	17	1.58
20	vsCentral Michigan	W34-7	-8.8	2	27	13.5	1	23	—

Usage & Situational · Pro

Snap-share proxy

Overall

2.3%

Passing plays

3.6%

Rushing plays

1.2%

Standard downs

2.0%

Passing downs

3.2%

EPA by down type

Standard downs: 1.17
Passing downs: 0.23
Pass / Rush EPA: 0.43 / 1.59

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