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Charlie Stramel Elite Prospects ↗

Position: Forward DOB: 2004-10-15 Country: USA
2023 · Round 1, Pick #21  ·  Minnesota Wild Minnesota Wild
Signed Professionally

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
2019-20 Rosemount USHS-MN 25 6 15 21 0.840 0.1063 0.1063 0.2040 0.2040
2020-21 — NTDP-U18 45 13 15 28 0.622 0.4625 0.4625 2.3217 2.3217
2021-22 — NTDP-U18 28 10 13 23 0.821 0.6105 0.6110 3.0650 3.0674
■ 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 Michigan State D1 BigTen SR 37 19 25 44 1.189
2024-25 Michigan D1 BigTen — 37 9 18 27 0.730
2023-24 Wisconsin D1 BigTen — 34 3 5 8 0.235
2022-23 Wisconsin D1 BigTen — 33 5 7 12 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.36
2022-23 · Wisconsin
+3.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

D1 Comparables

Patrick Newell
USHL · 2012-13 · 0.75 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Poganski
USHL · 2012-13 · 1.00 PPG
→ North Dakota (0.37 D1 FR PPG)
0.64 Average
NCAAe PPG
Nick Schmaltz
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.68 D1 FR PPG)
0.52 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG
Sean Malone
USHL · 2012-13 · 0.87 PPG
→ Harvard (0.65 D1 FR PPG)
0.54 Strong
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 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.