#22Juelz Goff

RB·Pittsburgh·2025

Juelz Goff is a Explosive Back for Pittsburgh. Juelz's 2025 season ranks in the 65th percentile nationally by opponent-adjusted EPA per play across 62 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 Juelz Goff'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

Rushing

270 Rush yards5 Rush TD69 Carries3.9 Yards/carry

Receiving

12 Receptions93 Rec yards0 Rec TD7.8 Yards/rec

Performance Analysis · 2025 · vs RB peers

Efficiency65
Volume28
Explosiveness18
Consistency63
Receiving67

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)65th %ile · average

Game-to-game consistency63th %ile · average

Key findings

▸Limited usage share suggests a rotational or specialist role.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Strong second-half surge — EPA/play improved 0.14 from the first to second half of the season.
▸Peak game: 1.00 EPA/play in Wk 14 vs Miami (SP+ 21).

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.

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	vsDuquesne	W61-9	—	7	31	4.4	1	—	—	—	0.34
2	vsCentral Michigan	W45-17	-8.8	6	16	2.7	1	1	10	0	0.18
3	@West Virginia	L24-31	-6.8	8	37	4.6	0	2	13	0	0.35
5	vsLouisville	L27-34	12.4	7	32	4.6	0	2	12	0	-0.04
6	vsBoston College	W48-7	-8.5	17	59	3.5	1	2	28	0	0.18
7	@Florida State	W34-31	7.2	1	4	4.0	0	—	—	—	-0.06
8	@Syracuse	W30-13	-13.1	7	10	1.4	1	—	—	—	0.01
9	vsNC State	W53-34	4.8	1	3	3.0	0	1	11	0	0.31
10	@Stanford	W35-20	-11.8	2	8	4.0	0	—	—	—	-0.02
12	vsNotre Dame	L15-37	24.4	5	35	7.0	0	2	2	0	0.42
13	@Georgia Tech	W42-28	9.3	5	21	4.2	1	1	8	0	0.08
14	vsMiami	L7-38	20.7	3	14	4.7	0	1	9	0	1.00

Usage & Situational · Pro

Snap-share proxy

Overall

9.8%

Passing plays

3.6%

Rushing plays

18.3%

Standard downs

12.3%

Passing downs

5.1%

EPA by down type

Standard downs: 0.09
Passing downs: 0.75
Pass / Rush EPA: 0.53 / 0.16

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