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Zane Rydel Elite Prospects ↗

Position: Forward DOB: 2001-03-24 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
2020-21 Wisconsin Rapids Riverkings USPHL-Premier 41 6 8 14 0.342 0.0447 0.0447 0.1159 0.1159
2021-22 Detroit Fighting Irish USPHL-Premier 40 13 13 26 0.650 0.0850 0.0788 0.2206 0.2044
■ 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 Cleary University ACHA_D1 — — 30 7 5 12 0.400
2024-25 Cleary University ACHA_D1 — — 30 7 5 12 0.400
2023-24 Cleary University ACHA_D1 — — 30 7 5 12 0.400
2022-23 Cleary University ACHA_D1 — — 30 7 5 12 0.400
2021-22 Cleary University ACHA_D1 — — 30 7 5 12 0.400
2020-21 Cleary University ACHA_D1 — — 30 7 5 12 0.400

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#32899
Forward overall
#1771
Forward born in 2001
#2701
in USPHL-Premier

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Simon Diaz
Aurora · 2023-24
0.633 Average
actual D2/3 PPG
Jarrett Kup
Curry · 2013-14
0.400 Average
actual D2/3 PPG
Alex Toscano
Wisconsin-Stout · 2015-16
0.385 Average
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.