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Jordan King

#4Jordan King

Jordan King is a Slot Specialist WR for California. Jordan's 2025 season produced 24.0 total EPA across 32 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 Jordan King'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
22 Receptions267 Rec yards2 Rec TD12.1 Yards/rec

Air yards

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

6
Targets
5.7y
Avg depth
0.7y
After catch
50%
Catch rate

The ball travels 5.7 yards in the air on an average target 3.2 yards shorter than the median. Another 0.7 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
1
0% · 0y
short
3
100% · 8y
1
0% · 0y
1
0% · 0y
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
  • Volume13
  • Explosiveness34
  • Consistency57
  • Pass-Down99
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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.47 EPA/play decline from first to second half.
  • Peak game: 2.87 EPA/play in Wk 3 vs Minnesota (SP+ 2).

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
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.8702.87Wk 1 vs Oregon State: -0.07 EPA/play1Wk 2 vs Texas Southern: -0.41 EPA/play2Wk 3 vs Minnesota: +2.87 EPA/play3Wk 5 vs Boston College: +0.06 EPA/play5Wk 6 vs Duke: +2.53 EPA/play6Wk 8 vs North Carolina: +1.33 EPA/play8Wk 9 vs Virginia Tech: +0.67 EPA/play9Wk 10 vs Virginia: +0.23 EPA/play10Wk 11 vs Louisville: -0.22 EPA/play11Wk 13 vs Stanford: +0.61 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Oregon StateW34-15-15.9177.007-0.07
2vsTexas SouthernW35-3155.005-0.41
3vsMinnesotaW27-141.52189.01162.87
5@Boston CollegeW28-24-8.544210.50210.06
6vsDukeL21-456.633812.71222.53
8vsNorth CarolinaW21-18-6.635418.00231.33
9@Virginia TechL34-42-10.146416.00380.67
10vsVirginiaL21-3111.122010.00150.23
11@LouisvilleW29-2612.4133.003-0.22
13@StanfordL10-31-11.811616.00160.61

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
7.6%
Rushing plays
0.0%
Standard downs
2.3%
Passing downs
9.2%
EPA by down type
Standard downs
0.56
Passing downs
0.85
Pass / Rush EPA
0.75 / —

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.