#15Jackson Ford

TE·San Diego State·2025

Jackson Ford is a Slot Specialist TE for San Diego State.

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 Jackson Ford'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

10 Receptions86 Rec yards1 Rec TD8.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

Efficiency100
Volume8
Explosiveness11
Consistency35
Pass-Down0

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 consistency35th %ile · below 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 variance — boom-or-bust profile.
▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Strong second-half surge — EPA/play improved 0.57 from the first to second half of the season.
▸Peak game: 1.46 EPA/play in Wk 9 vs Fresno State (SP+ 2).

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Johnny Langan	Rutgers	2020	59	0.300	0.0	17.7
Ty Thompson	Tulane	2024	48	0.420	0.7	20.2
Jordan Myers	Rice	2021	59	0.270	0.2	15.9
Johnny Langan	Rutgers	2021	37	0.240	0.0	8.9
Evan Svoboda	Wyoming	2024	75	0.290	0.5	21.8

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
1	vsStony Brook	W42-0	—	1	16	16.0	0	16	0.66
4	vsCalifornia	W34-0	-3.2	1	-1	-1.0	0	0	-1.26
5	@Northern Illinois	W6-3	-16.7	1	6	6.0	0	6	0.16
6	vsColorado State	W45-24	-15.6	1	3	3.0	0	3	0.91
9	@Fresno State	W23-0	1.8	2	20	10.0	0	14	1.46
10	vsWyoming	W24-7	-11.3	1	18	18.0	0	18	0.31
14	@New Mexico	L17-23	0.9	1	6	6.0	0	6	0.28
20	vsNorth Texas	L47-49	13.8	2	18	9.0	1	15	—

Usage & Situational · Pro

Snap-share proxy

Overall

2.8%

Passing plays

7.1%

Rushing plays

0.0%

Standard downs

2.3%

Passing downs

3.8%

EPA by down type

Standard downs: 0.89
Passing downs: -0.40
Pass / Rush EPA: 0.35 / —

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