#7Brandon Tullis

RB·Michigan State·2025

Brandon Tullis is a Committee Back for Michigan State. Brandon's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 84 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 Brandon Tullis'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

297 Rush yards4 Rush TD68 Carries4.4 Yards/carry

Receiving

11 Receptions82 Rec yards0 Rec TD7.5 Yards/rec

Performance Analysis · 2025 · vs RB peers

Efficiency0
Volume31
Explosiveness28
Consistency0
Receiving59

Player type

Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use

Peer percentiles

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

Game-to-game consistency0th %ile · below avg

Key findings

▸Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
▸High game-to-game variance — boom-or-bust profile.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Strong second-half surge — EPA/play improved 0.18 from the first to second half of the season.
▸Peak game: 0.36 EPA/play in Wk 12 vs Penn State (SP+ 18).

NIL Market Tier· 2025

On3 valuation ↗

Contributor

Rotational contributor. Smaller collective or local 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	vsWestern Michigan	W23-6	-1.4	7	52	7.4	1	—	—	—	0.24
2	vsBoston College	W42-40	-8.5	4	29	7.3	0	1	6	0	0.33
3	vsYoungstown State	W41-24	—	7	31	4.4	1	2	10	0	0.24
4	@USC	L31-45	16.9	6	12	2.0	0	—	—	—	-0.46
6	@Nebraska	L27-38	6.2	5	4	0.8	0	1	24	0	-0.25
7	vsUCLA	L13-38	-8.7	3	5	1.7	0	1	11	0	-0.28
8	@Indiana	L13-38	32.4	2	3	1.5	0	1	10	0	0.20
9	vsMichigan	L20-31	12.4	2	2	1.0	1	1	6	0	0.34
10	@Minnesota	L20-23	1.5	14	51	3.6	1	—	—	—	0.03
12	vsPenn State	L10-28	18.1	1	6	6.0	0	—	—	—	0.36
13	@Iowa	L17-20	19.7	8	56	7.0	0	1	7	0	0.12
14	vsMaryland	W38-28	0.6	9	46	5.1	0	3	8	0	-0.15

Usage & Situational · Pro

Snap-share proxy

Overall

10.7%

Passing plays

3.5%

Rushing plays

19.3%

Standard downs

12.1%

Passing downs

7.6%

EPA by down type

Standard downs: -0.02
Passing downs: 0.21
Pass / Rush EPA: 0.07 / 0.03

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