#8Kobe Paysour

WR·North Carolina·2025

Kobe Paysour is a Versatile WR for North Carolina. Kobe's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 53 plays — a elite rate for the WR.

What projects, and what doesn't · WRs · 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)0.47
Beats guessing the WR average by 16%. n=6,302 WR seasons
EPA per play (efficiency)0.09
Not projectable — we do not forecast this. n=5,767 WR seasons
Total EPA (value)0.45
Beats guessing the WR average by 12%. n=5,767 WR seasons

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

35 Receptions438 Rec yards1 Rec TD12.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume26
Explosiveness37
Consistency31
Pass-Down100

Player type

Versatile WR

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 consistency31th %ile · below avg

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game variance — boom-or-bust profile.
▸3 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 — 0.16 EPA/play decline from first to second half.
▸Peak game: 2.32 EPA/play in Wk 4 vs UCF (SP+ -1).

NIL Market Tier· 2025

On3 valuation ↗

Starter

Meaningful starter. Local collective + position-group 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 · WR · 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
Tyler Buchner	Notre Dame	2021	51	0.250	0.3	12.8
Samajie Grant	Arizona	2016	62	0.250	0.3	15.5
Justin Lynch	Temple	2021	63	0.240	0.3	15.1
Brandon Chatman	Navy	2025	52	0.230	0.6	12.0
Justin Lynch	Northern Illinois	2022	66	0.230	0.7	15.2

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
4	@UCF	L9-34	-1.2	1	8	8.0	1	8	2.32
6	vsClemson	L10-38	9.5	1	10	10.0	0	10	-0.97
8	@California	L18-21	-3.2	6	101	16.8	0	37	1.26
9	vsVirginia	L16-17	11.1	3	54	18.0	0	26	-0.58
10	@Syracuse	W27-10	-13.1	3	59	19.7	0	44	0.15
11	vsStanford	W20-15	-11.8	6	54	9.0	0	12	0.19
12	@Wake Forest	L12-28	5.7	5	40	8.0	0	13	0.12
13	vsDuke	L25-32	6.6	5	63	12.6	0	21	0.69
14	@NC State	L19-42	4.8	5	49	9.8	0	11	0.38

Usage & Situational · Pro

Snap-share proxy

Overall

9.0%

Passing plays

17.0%

Rushing plays

0.3%

Standard downs

8.8%

Passing downs

9.7%

EPA by down type

Standard downs: 0.00
Passing downs: 0.73
Pass / Rush EPA: 0.34 / -4.48

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