#83Mark Redman

TE·San Diego State·2023

Mark Redman is a Slot Specialist TE for San Diego State. Mark's 2023 season produced 24.1 total EPA across 37 plays.

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 Mark Redman'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.

2023 Production

Receiving

38 Receptions408 Rec yards3 Rec TD10.7 Yards/rec

Returns

1 Kick returns16 KR yards0 KR TD

Performance Analysis · 2023 · vs TE peers

Efficiency100
Volume17
Explosiveness25
Consistency75
Pass-Down32

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 consistency75th %ile · above avg

Key findings

▸Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game consistency — reliable floor each week.
▸4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Peak game: 1.65 EPA/play in Wk 3 vs Oregon State (SP+ 13).

NIL Market Tier· 2023

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
Johnny Langan	Rutgers	2020	59	0.300	0.0	17.7
Evan Svoboda	Wyoming	2024	75	0.290	0.5	21.8
Jordan Myers	Rice	2021	59	0.270	0.2	15.9

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	vsOhio	W20-13	-1.6	5	62	12.4	2	23	—
1	vsIdaho State	W36-28	—	2	8	4.0	0	7	0.27
2	vsUCLA	L10-35	9.7	5	32	6.4	0	9	0.04
3	@Oregon State	L9-26	12.6	4	77	19.3	0	29	1.65
4	vsBoise State	L31-34	5.9	2	29	14.5	0	15	0.31
5	@Air Force	L10-49	5.9	2	27	13.5	0	21	0.35
7	@Hawai'i	W41-34	-16.4	3	21	7.0	0	13	0.52
10	vsUtah State	L24-32	-10.9	5	44	8.8	1	11	—
11	@Colorado State	L19-22	-8.9	4	53	13.3	0	25	0.66
12	@San José State	L13-24	-3.4	2	15	7.5	0	10	0.63
13	vsFresno State	W33-18	2.5	4	40	10.0	0	16	0.25

Usage & Situational · Pro

Snap-share proxy

Overall

6.1%

Passing plays

14.2%

Rushing plays

0.0%

Standard downs

4.7%

Passing downs

9.2%

EPA by down type

Standard downs: 0.70
Passing downs: 0.60
Pass / Rush EPA: 0.65 / —

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