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Jhari Patterson

Jhari Patterson

Jhari Patterson is a Slot Specialist WR for East Carolina. Jhari's 2024 season produced 19.8 total EPA across 33 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 Jhari Patterson'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.

2024 Production

Receiving
33 Receptions281 Rec yards1 Rec TD8.5 Yards/rec
Returns
7 Kick returns108 KR yards0 KR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness10
  • Consistency75
  • 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 consistency75th %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.
  • 7 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 0.49 from the first to second half of the season.
  • Peak game: 2.01 EPA/play in Wk 9 vs Temple (SP+ -20).

NIL Market Tier· 2024

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
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

+2.0102.01Wk 1 vs Norfolk State: +0.85 EPA/play1Wk 2 vs Old Dominion: +0.68 EPA/play2Wk 4 vs Liberty: -0.16 EPA/play4Wk 5 vs UTSA: +1.13 EPA/play5Wk 8 vs Army: +0.16 EPA/play8Wk 9 vs Temple: +2.01 EPA/play9Wk 11 vs Florida Atlantic: +1.34 EPA/play11Wk 12 vs Tulsa: -0.14 EPA/play12Wk 13 vs North Texas: +0.88 EPA/play13Wk 14 vs Navy: +1.51 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorfolk StateW42-322814.00180.85
2@Old DominionW20-14-6.02157.50120.68
3vsApp StateL19-21-8.1
4@LibertyL24-350.2263.003-0.16
5vsUTSAW30-202.22168.0081.13
6@CharlotteL24-55-15.323819.0026
8@ArmyL28-459.23134.30100.16
9vsTempleW56-34-20.322814.01172.01
11vsFlorida AtlanticW49-14-12.75408.00141.34
12@TulsaW38-31-20.6252.505-0.14
13@North TexasW40-28-4.524623.00270.88
14vsNavyL20-343.511616.00161.51
20vsNC StateW26-213.98303.8013

Usage & Situational · Pro

Snap-share proxy
Overall
5.1%
Passing plays
9.0%
Rushing plays
1.5%
Standard downs
4.3%
Passing downs
6.9%
EPA by down type
Standard downs
0.44
Passing downs
0.84
Pass / Rush EPA
0.55 / 0.96

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.