#30Landon Sims

RB·Hawai'i·2025

Landon Sims is a Pass-Catching Back for Hawai'i. Landon's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 162 plays — a developing 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 Landon Sims'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

559 Rush yards3 Rush TD122 Carries4.6 Yards/carry

Receiving

37 Receptions272 Rec yards2 Rec TD7.4 Yards/rec

Performance Analysis · 2025 · vs RB peers

Efficiency0
Volume52
Explosiveness32
Consistency67
Receiving78

Player type

Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection

Peer percentiles

Opponent-adjusted EPA (WEPA/play)0th %ile · below avg

Game-to-game consistency67th %ile · average

Key findings

▸Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Peak game: 0.46 EPA/play in Wk 3 vs Portland State.

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 · RB · 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
Saquon Barkley	Penn State	2016	288	0.340	3.9	97.9

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+	Car	Rush Yds	Avg	Rush TD	Rec	Rec Yds	Rec TD	EPA/play
0	vsStanford	W23-20	-11.8	7	12	1.7	0	4	32	0	—
1	@Arizona	L6-40	12.0	9	41	4.6	0	3	48	0	0.40
2	vsSam Houston	W37-20	-27.8	14	60	4.3	0	7	29	1	-0.10
3	vsPortland State	W23-3	—	9	41	4.6	0	4	46	0	0.46
4	vsFresno State	L21-23	1.8	7	30	4.3	0	2	3	0	-0.10
5	@Air Force	W44-35	-3.2	13	57	4.4	1	2	37	0	0.24
7	vsUtah State	W44-26	-3.1	10	82	8.2	1	1	9	0	0.39
8	@Colorado State	W31-19	-15.6	12	59	4.9	0	3	9	0	0.06
10	@San José State	L38-45	-14.3	13	57	4.4	1	4	18	1	0.21
11	vsSan Diego State	W38-6	6.7	10	48	4.8	0	1	2	0	0.03
13	@UNLV	L10-38	4.3	7	26	3.7	0	3	22	0	0.04
14	vsWyoming	W27-7	-11.3	2	10	5.0	0	—	—	—	0.26
20	vsCalifornia	W35-31	-3.2	9	36	4.0	0	3	17	0	—

Usage & Situational · Pro

Snap-share proxy

Overall

18.2%

Passing plays

7.8%

Rushing plays

35.9%

Standard downs

20.2%

Passing downs

14.3%

EPA by down type

Standard downs: 0.07
Passing downs: 0.28
Pass / Rush EPA: 0.37 / 0.05

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