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Jsi Hatfield

#88Jsi Hatfield

Jsi Hatfield is a Versatile WR for East Carolina. Jsi's 2023 season produced 18.8 total EPA across 34 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 Jsi Hatfield'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.

2023 Production

Receiving
27 Receptions341 Rec yards1 Rec TD12.6 Yards/rec
Returns
8 Kick returns135 KR yards0 KR TD13 Punt returns96 PR yards0 PR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness38
  • Consistency66
  • Pass-Down1
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 consistency66th %ile · average
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.
  • Strong second-half surge — EPA/play improved 0.63 from the first to second half of the season.
  • Peak game: 2.07 EPA/play in Wk 10 vs Tulane (SP+ 3).

NIL Market Tier· 2023

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
Dane KinamonAir Force0.4100.716.0

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

Game Log · box score + EPA, week by week

+2.0702.07Wk 1 vs Michigan: -0.25 EPA/play1Wk 2 vs Marshall: +1.46 EPA/play2Wk 3 vs App State: +0.28 EPA/play3Wk 4 vs Gardner-Webb: +1.42 EPA/play4Wk 5 vs Rice: +0.17 EPA/play5Wk 7 vs SMU: -0.28 EPA/play7Wk 8 vs Charlotte: +0.39 EPA/play8Wk 9 vs UTSA: +0.89 EPA/play9Wk 10 vs Tulane: +2.07 EPA/play10Wk 11 vs Florida Atlantic: -0.53 EPA/play11Wk 12 vs Navy: +1.88 EPA/play12Wk 13 vs Tulsa: +1.86 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@MichiganL3-3031.32126.007-0.25
2vsMarshallL13-31-9.045714.30391.46
3@App StateL28-433.80.28
4vsGardner-WebbW44-035919.70351.42
5@RiceL17-24-10.257414.80340.17
7vsSMUL10-3110.1155.005-0.28
8vsCharlotteL7-10-21.42126.0070.39
9@UTSAL27-415.42178.50120.89
10vsTulaneL10-132.813232.00322.07
11@Florida AtlanticW22-7-9.43103.307-0.53
12@NavyL0-10-13.72189.00101.88
13vsTulsaL27-29-13.724522.51321.86

Usage & Situational · Pro

Snap-share proxy
Overall
4.7%
Passing plays
9.0%
Rushing plays
0.0%
Standard downs
5.0%
Passing downs
4.2%
EPA by down type
Standard downs
0.66
Passing downs
0.36
Pass / Rush EPA
0.55 / —

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.