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Giovanni Sanders
Giovanni Sanders

#6Giovanni Sanders

Giovanni Sanders is a Slot Specialist WR for Arizona 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 Giovanni Sanders'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.

2023 Production

Receiving
15 Receptions133 Rec yards0 Rec TD8.9 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency80
  • Volume13
  • Explosiveness12
  • Consistency54
  • 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)80th %ile · above avg
Game-to-game consistency54th %ile · average
Key findings
  • Above-average efficiency for the WR position (80th percentile).
  • 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 0.83 from the first to second half of the season.
  • Peak game: 2.81 EPA/play in Wk 10 vs Utah (SP+ 9).

NIL Market Tier· 2023

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
Tyler BuchnerNotre Dame0.2500.312.8
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Samajie GrantArizona0.2500.315.5
Brandon ChatmanNavy0.2300.612.0

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

Game Log · box score + EPA, week by week

+2.8102.81Wk 2 vs Oklahoma State: -0.42 EPA/play2Wk 3 vs Fresno State: +0.06 EPA/play3Wk 5 vs California: -0.10 EPA/play5Wk 6 vs Colorado: +0.90 EPA/play6Wk 9 vs Washington State: +1.49 EPA/play9Wk 10 vs Utah: +2.81 EPA/play10Wk 11 vs UCLA: +0.18 EPA/play11Wk 12 vs Oregon: -0.06 EPA/play12Wk 13 vs Arizona: +0.80 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsOklahoma StateL15-276.7144.004-0.42
3vsFresno StateL0-292.5199.0090.06
5@CaliforniaL21-24-0.15336.6012-0.10
6vsColoradoL24-27-4.92157.5090.90
9vsWashington StateW38-274.912323.00231.49
10@UtahL3-558.512020.00202.81
11@UCLAW17-79.7166.0060.18
12vsOregonL13-4926.2144.004-0.06
13vsArizonaL23-5914.12199.50160.80

Usage & Situational · Pro

Snap-share proxy
Overall
4.7%
Passing plays
8.0%
Rushing plays
0.8%
Standard downs
3.3%
Passing downs
7.4%
EPA by down type
Standard downs
-0.11
Passing downs
0.67
Pass / Rush EPA
0.29 / -0.01

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.