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Brandon Chatman

#24Brandon Chatman

WR·Navy·2025202420230.6 pts line value1st Round

Brandon Chatman is a 3-year Versatile WR for Navy. Brandon's 2025 season ranks in the 83th percentile nationally by opponent-adjusted EPA per play across 80 plays — a above-average 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.

2025 Production

Rushing
431 Rush yards3 Rush TD57 Carries7.6 Yards/carry
Receiving
17 Receptions159 Rec yards0 Rec TD9.4 Yards/rec
Returns
6 Punt returns50 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency83
  • Volume28
  • Explosiveness16
  • Consistency18
  • Pass-Down61
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Game-to-game consistency18th %ile · below avg
Career trajectory:↑ Rising
Key findings
  • Above-average efficiency for the WR position (83th percentile).
  • Limited usage share suggests a rotational or specialist role.
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game variance — boom-or-bust profile.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.33 EPA/play decline from first to second half.
  • Peak game: 1.14 EPA/play in Wk 3 vs Tulsa (SP+ -10).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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 · 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
Eli HeidenreichNavy0.2200.815.4
Justin LynchNorthern Illinois0.2300.715.2
Justin LynchTemple0.2400.315.1
Amare JonesTulane0.2300.813.3
Samajie GrantArizona0.2500.315.5

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

Game Log · box score + EPA, week by week

+1.1401.14Wk 1 vs VMI: -0.23 EPA/play1Wk 2 vs UAB: +0.23 EPA/play2Wk 3 vs Tulsa: +1.14 EPA/play3Wk 5 vs Rice: +0.47 EPA/play5Wk 6 vs Air Force: -0.36 EPA/play6Wk 7 vs Temple: +0.60 EPA/play7Wk 9 vs Florida Atlantic: +0.50 EPA/play9Wk 10 vs North Texas: +0.62 EPA/play10Wk 11 vs Notre Dame: -0.88 EPA/play11Wk 12 vs South Florida: +0.01 EPA/play12Wk 14 vs Memphis: +0.26 EPA/play14Wk 16 vs Army: -0.10 EPA/play16
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsVMIW52-7-0.23
2vsUABW38-24-15.812020.00200.23
3@TulsaW42-23-10.0177.0071.14
5vsRiceW21-13-14.812626.00260.47
6vsAir ForceW34-31-3.24184.509-0.36
7@TempleW32-31-5.111010.00100.60
9vsFlorida AtlanticW42-32-8.75438.60230.50
10@North TexasL17-3113.80.62
11@Notre DameL10-4924.4-0.88
12vsSouth FloridaW41-3811.6273.5050.01
14@MemphisW28-177.612727.00270.26
16vsArmyW17-160.8-0.10
20vsCincinnatiW35-134.5111.001

Usage & Situational · Pro

Snap-share proxy
Overall
9.8%
Passing plays
13.4%
Rushing plays
9.0%
Standard downs
11.0%
Passing downs
6.2%
EPA by down type
Standard downs
0.23
Passing downs
0.29
Pass / Rush EPA
-0.06 / 0.37

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.