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Jordan Shipp

#1Jordan Shipp

Jordan Shipp is a Versatile WR for North Carolina. Jordan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 82 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 Jordan Shipp'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
60 Receptions671 Rec yards6 Rec TD11.2 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

8
Targets
13.2y
Avg depth
3.6y
After catch
63%
Catch rate

The ball travels 13.2 yards in the air on an average target 4.2 yards deeper than the median. Another 3.6 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
1
0% · 0y
short
3
67% · 28y
2
100% · 31y
2
50% · 12y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume34
  • Explosiveness28
  • Consistency74
  • Pass-Down95
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 consistency74th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 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 0.28 from the first to second half of the season.
  • Peak game: 1.36 EPA/play in Wk 11 vs Stanford (SP+ -12).

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
Keytaon ThompsonMississippi State0.4601.232.2
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
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

+1.3601.36Wk 1 vs TCU: +0.86 EPA/play1Wk 2 vs Charlotte: -0.00 EPA/play2Wk 3 vs Richmond: +1.31 EPA/play3Wk 4 vs UCF: +0.66 EPA/play4Wk 6 vs Clemson: +0.45 EPA/play6Wk 8 vs California: -0.39 EPA/play8Wk 9 vs Virginia: +0.41 EPA/play9Wk 10 vs Syracuse: +1.02 EPA/play10Wk 11 vs Stanford: +1.36 EPA/play11Wk 12 vs Wake Forest: +0.00 EPA/play12Wk 13 vs Duke: +1.19 EPA/play13Wk 14 vs NC State: +0.58 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTCUL14-488.348421.00390.86
2@CharlotteW20-3-26.72136.507-0.00
3vsRichmondW41-645213.02291.31
4@UCFL9-34-1.234414.70240.66
6vsClemsonL10-389.55418.20210.45
8@CaliforniaL18-21-3.24194.806-0.39
9vsVirginiaL16-1711.17679.60230.41
10@SyracuseW27-10-13.166410.71211.02
11vsStanfordW20-15-11.858316.61551.36
12@Wake ForestL12-285.74317.80130.00
13vsDukeL25-326.688310.41221.19
14@NC StateL19-424.889011.31200.58

Usage & Situational · Pro

Snap-share proxy
Overall
11.8%
Passing plays
22.3%
Rushing plays
0.6%
Standard downs
10.9%
Passing downs
14.1%
EPA by down type
Standard downs
0.46
Passing downs
0.73
Pass / Rush EPA
0.58 / -0.25

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.