Skip to content
Pearson Baldwin

#13Pearson Baldwin

Pearson Baldwin is a Slot Specialist TE for Jacksonville State. Pearson's 2025 season produced 11.9 total EPA across 39 plays.

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 Pearson Baldwin'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
26 Receptions302 Rec yards2 Rec TD11.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume12
  • Explosiveness31
  • Consistency42
  • Pass-Down75
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 consistency42th %ile · below avg
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 2.08 EPA/play in Wk 12 vs Kennesaw State (SP+ -5).

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.

PlayerTeamWEPA/playLine valTotal EPA
Johnny LanganRutgers0.3000.017.7
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.2400.08.9
Evan SvobodaWyoming0.2900.521.8
D'Vaughn PennamonOle Miss0.2000.011.0

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+2.0802.08Wk 1 vs UCF: -0.24 EPA/play1Wk 2 vs Liberty: -0.10 EPA/play2Wk 3 vs Georgia Southern: +0.69 EPA/play3Wk 4 vs Murray State: +0.46 EPA/play4Wk 5 vs Southern Miss: -0.19 EPA/play5Wk 7 vs Sam Houston: +1.14 EPA/play7Wk 8 vs Delaware: +1.23 EPA/play8Wk 10 vs Middle Tennessee: -0.61 EPA/play10Wk 11 vs UTEP: -0.48 EPA/play11Wk 12 vs Kennesaw State: +2.08 EPA/play12Wk 13 vs Florida International: +0.28 EPA/play13Wk 14 vs Western Kentucky: +0.48 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@UCFL10-17-1.22115.506-0.24
2vsLibertyW34-24-9.0133.003-0.10
3@Georgia SouthernL34-41-9.434214.00320.69
4vsMurray StateW45-1011414.00140.46
5@Southern MissL25-42-7.13113.706-0.19
7vsSam HoustonW29-27-27.857214.40231.14
8vsDelawareW38-25-10.911111.00111.23
10@Middle TennesseeW24-21-16.0133.003-0.61
11@UTEPW30-27-17.5177.007-0.48
12vsKennesaw StateW35-26-5.426030.00522.08
13@Florida InternationalL21-27-10.534013.31200.28
14vsWestern KentuckyW37-341.62189.01160.48
20vsTroyW17-13-4.811010.0010

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
12.0%
Rushing plays
0.0%
Standard downs
3.2%
Passing downs
6.9%
EPA by down type
Standard downs
0.24
Passing downs
0.39
Pass / Rush EPA
0.31 / —

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.