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Tastean Reddicks
Tastean Reddicks

Tastean Reddicks

Tastean Reddicks is a Slot Specialist WR for Oregon State. Tastean's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 54 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 Tastean Reddicks'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
30 Receptions391 Rec yards0 Rec TD13.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume22
  • Explosiveness40
  • Consistency40
  • Pass-Down100
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 consistency40th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 3 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 — 0.22 EPA/play decline from first to second half.
  • Peak game: 1.38 EPA/play in Wk 10 vs Washington State (SP+ 4).

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 · 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
Ainias SmithTexas A&M0.3100.517.0
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8
Nick NashSan José State0.3100.514.0
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+1.3801.38Wk 1 vs California: -0.18 EPA/play1Wk 2 vs Fresno State: +1.08 EPA/play2Wk 3 vs Texas Tech: +1.22 EPA/play3Wk 4 vs Oregon: -0.04 EPA/play4Wk 5 vs Houston: +0.07 EPA/play5Wk 6 vs App State: -0.64 EPA/play6Wk 7 vs Wake Forest: -0.08 EPA/play7Wk 8 vs Lafayette: +0.14 EPA/play8Wk 10 vs Washington State: +1.38 EPA/play10Wk 11 vs Sam Houston: +0.26 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCaliforniaL15-34-3.211616.0016-0.18
2vsFresno StateL27-361.81115814.40371.08
3@Texas TechL14-4527.633913.00221.22
4@OregonL7-4125.922713.5021-0.04
5vsHoustonL24-277.42178.5090.07
6@App StateL23-27-11.422311.5014-0.64
7vsWake ForestL14-395.734414.7026-0.08
8vsLafayetteW45-132189.00110.14
10vsWashington StateW10-73.823718.50251.38
11vsSam HoustonL17-21-27.82126.0090.26

Usage & Situational · Pro

Snap-share proxy
Overall
7.7%
Passing plays
14.5%
Rushing plays
0.3%
Standard downs
6.1%
Passing downs
11.3%
EPA by down type
Standard downs
0.15
Passing downs
0.53
Pass / Rush EPA
0.34 / -0.40

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.