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Levi Wunder Elite Prospects ↗

Position: Forward DOB: 1996-10-11 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
2015-16 Drumheller Dragons AJHL 59 25 28 53 0.898 0.3013 0.2991 0.8313 0.8253
2016-17 — NAHL 57 7 14 21 0.368 0.1354 0.1296 0.3888 0.3721
■ 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
2021-22 SUNY Geneseo D3 SUNYAC — 27 2 17 19 0.704
2019-20 Geneseo D1 — JR 21 2 7 9 0.429
2019-20 SUNY Geneseo D3 SUNYAC JR 21 2 7 9 0.429
2018-19 Alabama Huntsville D1 — SO 19 0 0 0 0.000
2018-19 Alabama-Huntsville D1 — SO 19 0 0 0 0.000
2017-18 Alabama-Huntsville D1 — FR 37 2 7 9 0.243
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.24
2017-18 · Alabama-Huntsville
+43.9% vs. projection

NCAAe Rankings

#26920
Forward overall
#1112
Forward born in 1996

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
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

Liam Feeney
Trinity · 2015-16
0.710 Strong
actual D2/3 PPG
Dylan Reynolds
Saint Anselm · 2024-25
0.214 Developing
actual D2/3 PPG
Jordan Zalba
Neumann · 2008-09
0.741 Strong
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.