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Charles Ross

#4Charles Ross

Charles Ross is a Slot Specialist WR for San José State.

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 Charles Ross'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.

2023 Production

Receiving
26 Receptions347 Rec yards1 Rec TD13.3 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness42
  • Consistency74
  • Pass-Down100
Player type
Slot Specialist WR

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 consistency74th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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 — 0.48 EPA/play decline from first to second half.
  • Peak game: 2.89 EPA/play in Wk 2 vs Cal Poly.

NIL Market Tier· 2023

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
Quadree HendersonPittsburgh0.5301.633.4

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

Game Log · box score + EPA, week by week

+2.8902.89Wk 1 vs Oregon State: +0.03 EPA/play1Wk 2 vs Cal Poly: +2.89 EPA/play2Wk 3 vs Toledo: +0.72 EPA/play3Wk 4 vs Air Force: +2.00 EPA/play4Wk 6 vs Boise State: +0.53 EPA/play6Wk 9 vs Hawai'i: +2.20 EPA/play9Wk 12 vs San Diego State: +1.13 EPA/play12Wk 13 vs UNLV: -0.14 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@USCL28-569.456212.4020
1vsOregon StateL17-4212.6284.0040.03
2vsCal PolyW59-323919.51242.89
3@ToledoL17-213.73217.0090.72
4vsAir ForceL20-455.924723.50312.00
6@Boise StateL27-355.93289.30140.53
9@Hawai'iW35-0-16.425527.50352.20
12vsSan Diego StateW24-13-10.33279.00111.13
13@UNLVW37-311.411313.0013-0.14
20vsCoastal CarolinaL14-24-1.234715.7025

Usage & Situational · Pro

Snap-share proxy
Overall
5.0%
Passing plays
9.4%
Rushing plays
0.0%
Standard downs
3.4%
Passing downs
8.2%
EPA by down type
Standard downs
0.70
Passing downs
1.16
Pass / Rush EPA
0.95 / —

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.530−0.32
EPA per play · 2013 · 12 games

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.