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Brandon Chatman

#24Brandon Chatman

WR·Navy·2025202420230.1 pts line value1st Round

Brandon Chatman is a 3-year Red Zone Weapon WR for Navy. Brandon's 2024 season ranks in the 38th percentile nationally by opponent-adjusted EPA per play across 69 plays — a developing rate for the WR. Brandon's production has improved each season, a positive development trajectory.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Brandon Chatman'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.

2024 Production

Rushing
250 Rush yards3 Rush TD48 Carries5.2 Yards/carry
Receiving
18 Receptions257 Rec yards4 Rec TD14.3 Yards/rec
Returns
1 Kick returns23 KR yards0 KR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency38
  • Volume26
  • Explosiveness49
  • Consistency74
  • Pass-Down100
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)38th %ile · below avg
Game-to-game consistency74th %ile · average
Career trajectory:↑ Rising
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.31 EPA/play decline from first to second half.
  • Peak game: 1.17 EPA/play in Wk 4 vs Memphis (SP+ 10).

NIL Market Tier· 2024

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 · WR · 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
Justin LynchTemple0.2400.315.1
Samajie GrantArizona0.2500.315.5
Tyler BuchnerNotre Dame0.2500.312.8
Justin LynchNorthern Illinois0.2300.715.2
Malik DunnerBall State0.2900.422.0

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

Game Log · box score + EPA, week by week

+1.1701.17Wk 1 vs Bucknell: +0.96 EPA/play1Wk 2 vs Temple: +0.00 EPA/play2Wk 4 vs Memphis: +1.17 EPA/play4Wk 5 vs UAB: +0.27 EPA/play5Wk 6 vs Air Force: +0.22 EPA/play6Wk 8 vs Charlotte: +0.67 EPA/play8Wk 9 vs Notre Dame: +0.71 EPA/play9Wk 10 vs Rice: +0.16 EPA/play10Wk 11 vs South Florida: +0.49 EPA/play11Wk 12 vs Tulane: -0.12 EPA/play12Wk 14 vs East Carolina: +0.44 EPA/play14Wk 16 vs Army: +0.20 EPA/play16
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsBucknellW49-2114242.01420.96
2vsTempleW38-11-20.30.00
4vsMemphisW56-449.638127.01461.17
5@UABW41-18-11.3294.5050.27
6@Air ForceW34-7-11.722613.00240.22
8vsCharlotteW51-17-15.311919.01190.67
9vsNotre DameL14-5123.912121.00210.71
10@RiceL10-24-11.4144.0040.16
11@South FloridaW28-7-2.32147.00120.49
12vsTulaneL0-355.7-0.12
14@East CarolinaW34-20-1.02115.5090.44
16vsArmyW31-139.211818.01180.20
20vsOklahomaW21-209.52126.0010

Usage & Situational · Pro

Snap-share proxy
Overall
9.1%
Passing plays
11.6%
Rushing plays
8.3%
Standard downs
10.0%
Passing downs
7.1%
EPA by down type
Standard downs
0.35
Passing downs
0.90
Pass / Rush EPA
1.15 / 0.18

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.390−1.2720242025
EPA per play · 2023 — 2025 · 37 games
SeasonTeamLine valueTotal EPA
2023Navy
0.0
2.7
2024Navy
0.1
11.0
2025Navy
0.6
12.0

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

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