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Ted Hurst

#1Ted Hurst

Ted Hurst is a Versatile WR for Georgia State. Ted's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 106 plays — a elite rate for the WR.

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 Ted Hurst'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
71 Receptions1004 Rec yards6 Rec TD14.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume41
  • Explosiveness48
  • Consistency69
  • Pass-Down100
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)100th %ile · elite
Game-to-game consistency69th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 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: 1.33 EPA/play in Wk 2 vs Memphis (SP+ 8).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Zach AbeyNavy0.3700.825.9
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+1.3301.33Wk 1 vs Ole Miss: -0.54 EPA/play1Wk 2 vs Memphis: +1.33 EPA/play2Wk 3 vs Murray State: +1.15 EPA/play3Wk 4 vs Vanderbilt: +0.14 EPA/play4Wk 6 vs James Madison: +0.23 EPA/play6Wk 7 vs App State: +0.42 EPA/play7Wk 8 vs Georgia Southern: +0.21 EPA/play8Wk 9 vs South Alabama: +1.14 EPA/play9Wk 11 vs Coastal Carolina: +0.48 EPA/play11Wk 12 vs Marshall: +0.50 EPA/play12Wk 14 vs Old Dominion: +0.33 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Ole MissL7-6324.0166.006-0.54
2vsMemphisL16-387.679713.90271.33
3vsMurray StateW37-211017217.22521.15
4@VanderbiltL21-7020.377110.10190.14
6vsJames MadisonL7-1412.336020.00520.23
7vsApp StateL20-41-11.4910511.70200.42
8@Georgia SouthernL24-41-9.456813.61310.21
9vsSouth AlabamaL31-38-12.7511022.02701.14
11@Coastal CarolinaL27-40-15.11016516.51570.48
12vsMarshallL18-30-4.577410.60410.50
14@Old DominionL10-275.977610.90290.33

Usage & Situational · Pro

Snap-share proxy
Overall
14.2%
Passing plays
25.1%
Rushing plays
0.0%
Standard downs
12.9%
Passing downs
17.0%
EPA by down type
Standard downs
0.30
Passing downs
0.76
Pass / Rush EPA
0.48 / —

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.