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Chase Sowell

#0Chase Sowell

Chase Sowell is a Slot Specialist WR for Iowa State. Chase's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 59 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 Chase Sowell'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
32 Receptions500 Rec yards2 Rec TD15.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume21
  • Explosiveness57
  • Consistency60
  • Pass-Down75
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 consistency60th %ile · average
Key findings
  • Top-10% efficiency among WRs — 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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.26 from the first to second half of the season.
  • Peak game: 3.24 EPA/play in Wk 13 vs Kansas (SP+ 4).

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
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
DeAndre HughesAir Force0.4701.328.2
Dane KinamonAir Force0.4100.716.0
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

+3.2403.24Wk 2 vs Iowa: +0.25 EPA/play2Wk 3 vs Arkansas State: +0.14 EPA/play3Wk 5 vs Arizona: +1.80 EPA/play5Wk 6 vs Cincinnati: +1.04 EPA/play6Wk 7 vs Colorado: -0.07 EPA/play7Wk 9 vs BYU: +0.07 EPA/play9Wk 10 vs Arizona State: -0.14 EPA/play10Wk 11 vs TCU: +0.16 EPA/play11Wk 13 vs Kansas: +3.24 EPA/play13Wk 14 vs Oklahoma State: +1.13 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsIowaW16-1319.72178.50100.25
3@Arkansas StateW24-16-8.82157.50110.14
5vsArizonaW39-1412.0414636.50521.80
6@CincinnatiL30-384.555811.61311.04
7@ColoradoL17-24-8.322512.5016-0.07
9vsBYUL27-4115.9199.0090.07
10vsArizona StateL19-243.968514.2035-0.14
11@TCUW20-178.34317.80120.16
13vsKansasW38-144.126030.00363.24
14@Oklahoma StateW20-13-15.145413.51201.13

Usage & Situational · Pro

Snap-share proxy
Overall
7.3%
Passing plays
16.6%
Rushing plays
0.0%
Standard downs
5.2%
Passing downs
12.3%
EPA by down type
Standard downs
0.42
Passing downs
0.57
Pass / Rush EPA
0.50 / —

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.