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Anthony Oviedo Elite Prospects ↗

Position: Forward DOB: 2002-07-05 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2021-22 La Ronge Ice Wolves SJHL 23 2 2 4 0.174 0.0446 0.0444 0.1311 0.1304
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 University of Toledo ACHA_D1 — — 29 17 15 32 1.103
2024-25 University of Toledo ACHA_D1 — — 29 17 15 32 1.103
2023-24 University of Toledo ACHA_D1 — — 29 17 15 32 1.103
2022-23 University of Toledo ACHA_D1 — — 29 17 15 32 1.103
2021-22 University of Toledo ACHA_D1 — — 29 17 15 32 1.103
2020-21 University of Toledo ACHA_D1 — — 29 17 15 32 1.103

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
5%
NCAA D2/D3
28%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#57116
Forward overall
#3779
Forward born in 2002
#2154
in SJHL

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Morgan Shepherd
Saint Mary's (MN) · 2004-05
0.286 Developing
actual D2/3 PPG
Luke Gaffney
Johnson & Wales · 2022-23
0.240 Developing
actual D2/3 PPG
Glenn Ylitalo
Hamline · 2004-05
0.000 No data
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.