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Sawyer Scholl Elite Prospects ↗

Position: Forward DOB: 2002-02-14 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 Green Bay Gamblers USHL 38 2 7 9 0.237 0.1397 0.1397 0.7112 0.7112
2021-22 Green Bay Gamblers USHL 58 7 15 22 0.379 0.2237 0.2106 1.1392 1.0727
2022-23 Sioux City Musketeers USHL 35 6 1 7 0.200 0.1180 0.1050 0.6007 0.5344
■ 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 Minnesota State D1 CCHA JR 39 2 4 6 0.154
2024-25 Wisconsin D1 BigTen — 34 3 6 9 0.265
2023-24 Wisconsin D1 BigTen — 33 6 2 8 0.242
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.24
2023-24 · Wisconsin
+92.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
5%
NCAA D2/D3
75%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#23096
Forward overall
#1273
Forward born in 2002
#2256
in USHL

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
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 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
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Cory Anderson
Manhattanville · 2014-15
0.739 Strong
actual D2/3 PPG
Carlos Fornaris
New England College · 2015-16
1.115 Elite
actual D2/3 PPG
Joe Verboys
Gustavus Adolphus · 2017-18
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.