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John Neider

#80John Neider

WR·UConn·2025

John Neider is a Slot Specialist WR for UConn. John's 2025 season produced 32.9 total EPA across 37 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 John Neider'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
27 Receptions422 Rec yards2 Rec TD15.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness58
  • Consistency77
  • 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 consistency77th %ile · above avg
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.
  • 9 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 0.23 from the first to second half of the season.
  • Peak game: 2.54 EPA/play in Wk 2 vs Syracuse (SP+ -13).

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
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+2.5402.54Wk 1 vs Central Connecticut: -0.56 EPA/play1Wk 2 vs Syracuse: +2.54 EPA/play2Wk 3 vs Delaware: +1.11 EPA/play3Wk 4 vs Ball State: +0.98 EPA/play4Wk 5 vs Buffalo: +1.00 EPA/play5Wk 6 vs Florida International: +0.66 EPA/play6Wk 8 vs Boston College: +1.92 EPA/play8Wk 9 vs Rice: +0.34 EPA/play9Wk 10 vs UAB: +1.45 EPA/play10Wk 11 vs Duke: +0.54 EPA/play11Wk 13 vs Florida Atlantic: +1.69 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCentral ConnecticutW59-13133.003-0.56
2@SyracuseL20-27-13.12.54
3@DelawareL41-44-10.946015.00291.11
4vsBall StateW31-25-23.012626.00260.98
5@BuffaloW20-17-7.53289.30151.00
6vsFlorida InternationalW51-10-10.536822.70450.66
8@Boston CollegeW38-23-8.526934.51431.92
9@RiceL34-37-14.823819.00230.34
10vsUABW38-19-15.855511.00261.45
11vsDukeW37-346.6199.0090.54
13@Florida AtlanticW48-45-8.723919.51241.69
20vsArmyL16-410.83279.0015

Usage & Situational · Pro

Snap-share proxy
Overall
5.0%
Passing plays
9.3%
Rushing plays
0.0%
Standard downs
4.1%
Passing downs
7.0%
EPA by down type
Standard downs
0.53
Passing downs
1.31
Pass / Rush EPA
0.89 / —

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.