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Teddy Hoffmann

#12Teddy Hoffmann

Teddy Hoffmann is a Versatile WR for NC State. Teddy's 2025 season produced 20.7 total EPA across 32 plays.

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 Teddy Hoffmann'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
25 Receptions349 Rec yards3 Rec TD14.0 Yards/rec
Returns
8 Punt returns32 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness46
  • Consistency42
  • Pass-Down82
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 consistency42th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — 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.
  • Strong second-half surge — EPA/play improved 0.54 from the first to second half of the season.
  • Peak game: 3.03 EPA/play in Wk 7 vs Notre Dame (SP+ 24).

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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+3.0303.03Wk 1 vs East Carolina: +0.75 EPA/play1Wk 2 vs Virginia: +0.26 EPA/play2Wk 3 vs Wake Forest: -0.36 EPA/play3Wk 4 vs Duke: -0.47 EPA/play4Wk 5 vs Virginia Tech: +0.40 EPA/play5Wk 6 vs Campbell: -0.17 EPA/play6Wk 7 vs Notre Dame: +3.03 EPA/play7Wk 9 vs Pittsburgh: +1.06 EPA/play9Wk 10 vs Georgia Tech: +2.17 EPA/play10Wk 12 vs Miami: -0.11 EPA/play12Wk 13 vs Florida State: -0.52 EPA/play13Wk 14 vs North Carolina: +0.43 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast CarolinaW24-178.059318.60500.75
2vsVirginiaW35-3111.1166.0060.26
3@Wake ForestW34-245.7-0.36
4@DukeL33-456.6451.303-0.47
5vsVirginia TechL21-23-10.1144.0040.40
6vsCampbellW56-10-0.17
7@Notre DameL7-3624.424723.50263.03
9@PittsburghL34-538.445513.81301.06
10vsGeorgia TechW48-369.337424.71552.17
12@MiamiL7-4120.7294.507-0.11
13vsFlorida StateW21-117.2166.006-0.52
14vsNorth CarolinaW42-19-6.611010.00100.43
20vsMemphisW31-77.614040.0140

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
8.8%
Rushing plays
0.0%
Standard downs
4.2%
Passing downs
5.1%
EPA by down type
Standard downs
0.59
Passing downs
0.78
Pass / Rush EPA
0.65 / —

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.