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Xavier Townsend

#3Xavier Townsend

Xavier Townsend is a Slot Specialist WR for Iowa State.

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 Xavier Townsend'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
18 Receptions243 Rec yards0 Rec TD13.5 Yards/rec
Returns
2 Kick returns15 KR yards0 KR TD2 Punt returns5 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness43
  • Consistency54
  • Pass-Down48
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 consistency54th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Production faded as the season progressed — 0.53 EPA/play decline from first to second half.
  • Peak game: 1.75 EPA/play in Wk 3 vs Arkansas State (SP+ -9).

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
DeAndre HughesAir Force0.4701.328.2

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

Game Log · box score + EPA, week by week

+1.7501.75Wk 1 vs South Dakota: +1.42 EPA/play1Wk 2 vs Iowa: -0.16 EPA/play2Wk 3 vs Arkansas State: +1.75 EPA/play3Wk 5 vs Arizona: -0.17 EPA/play5Wk 6 vs Cincinnati: +0.17 EPA/play6Wk 7 vs Colorado: +0.22 EPA/play7Wk 9 vs BYU: +0.38 EPA/play9Wk 10 vs Arizona State: -0.04 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth DakotaW55-733411.30181.42
2vsIowaW16-1319.7166.006-0.16
3@Arkansas StateW24-16-8.839230.70441.75
5vsArizonaW39-1412.0199.009-0.17
6@CincinnatiL30-384.56508.30170.17
7@ColoradoL17-24-8.322814.00190.22
9vsBYUL27-4115.922412.00170.38
10vsArizona StateL19-243.9-0.04

Usage & Situational · Pro

Snap-share proxy
Overall
4.8%
Passing plays
8.4%
Rushing plays
1.6%
Standard downs
3.0%
Passing downs
9.3%
EPA by down type
Standard downs
0.48
Passing downs
0.46
Pass / Rush EPA
0.55 / 0.11

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.