Scores
Dev
← Player leaders
Justin Joly

#7Justin Joly

Justin Joly is a Versatile TE for NC State. Justin's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 53 plays — a elite rate for the TE.

2026 Usage Outlook · projected share of team plays

5%
projected
band 3%'25 8%7%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
49 Receptions489 Rec yards7 Rec TD10.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
Player type
Versatile TE

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 consistency63th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 1.68 EPA/play in Wk 6 vs Campbell.

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 · TE · efficiency + volume + value

Players from 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
Johnny LanganRutgers2020590.3000.017.7
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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

Game Log · box score + EPA, week by week

Wk 1 vs East Carolina: -0.01 EPA/play1Wk 2 vs Virginia: -0.13 EPA/play2Wk 3 vs Wake Forest: +1.59 EPA/play3Wk 4 vs Duke: +0.24 EPA/play4Wk 5 vs Virginia Tech: +0.04 EPA/play5Wk 6 vs Campbell: +1.68 EPA/play6Wk 7 vs Notre Dame: +0.31 EPA/play7Wk 12 vs Miami: -0.18 EPA/play12Wk 13 vs Florida State: +1.51 EPA/play13Wk 14 vs North Carolina: +0.14 EPA/play14Wk 1 vs Memphis: +1.30 EPA/play1
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast CarolinaW24-178.05275.409-0.01
2vsVirginiaW35-3111.144110.3021-0.13
3@Wake ForestW34-245.74225.5281.59
4@DukeL33-456.656312.60180.24
5vsVirginia TechL21-23-10.166010.00220.04
6vsCampbellW56-1044310.81151.68
7@Notre DameL7-3624.4284.0060.31
9@PittsburghL34-538.4610116.8259
12@MiamiL7-4120.7177.007-0.18
13vsFlorida StateW21-117.256613.21271.51
14vsNorth CarolinaW42-19-6.65306.01190.14
1vsMemphisW31-77.622110.50171.30

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
15.7%
Rushing plays
0.0%
Standard downs
7.3%
Passing downs
9.0%
EPA by down type
Standard downs
0.47
Passing downs
0.34
Pass / Rush EPA
0.42 / —

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.