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Winter Wallace Elite Prospects ↗

Position: Forward DOB: 2002-01-21 Country: USA
No commitment set

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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 — USHL 42 6 7 13 0.309 0.1826 0.1826 0.9296 0.9296
2021-22 Youngstown Phantoms USHL 49 14 16 30 0.612 0.3611 0.3388 1.8387 1.7254
■ 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 Cornell D1 ECAC SR 18 0 0 0 0.000
2024-25 Cornell D1 ECAC JR 0 0 0 0 0.000
2023-24 Cornell D1 ECAC SO 24 1 1 2 0.083
2022-23 Cornell D1 ECAC FR 23 3 5 8 0.348
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.35
2022-23 · Cornell
+19.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#16119
Forward overall
#841
Forward born in 2002
#1559
in USHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Connor Powell
Elmira · 2015-16
1.080 Elite
actual D2/3 PPG
Brian Berger
Marian · 2010-11
1.038 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2014-15
1.280 Elite
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.