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Ethan Miedema Elite Prospects ↗

Position: Forward DOB: 2005-03-22 Country: Canada
2023 · Round 4, Pick #109  ·  Buffalo Sabres Buffalo Sabres
Bemidji State
CCHA D1

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
2021-22 Windsor Spitfires OHL 65 14 24 38 0.585 0.3382 0.3672 1.5021 1.6309
2022-23 — OHL 68 20 32 52 0.765 0.4424 0.4612 1.9649 2.0483
2023-24 Kingston Frontenacs OHL 68 18 23 41 0.603 0.3488 0.3469 1.5492 1.5408
2024-25 Kingston Frontenacs OHL 66 23 34 57 0.864 0.4996 0.4711 2.2190 2.0925
2025-26 Guelph Storm OHL 68 25 22 47 0.691 0.3999 0.3570 1.7760 1.5854
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#8299
Forward overall
#317
Forward born in 2005
#413
in OHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

Bemidji State Alumni similar profiles who attended this school

Dylan McCrory
AJHL 2015-16
0.22
actual FR PPG at Bemidji State
Jaksen Panzer
USHS-MN 2021-22
0.19
actual FR PPG at Bemidji State
Adam Flammang
USHS-MN 2019-20
0.19
actual FR PPG at Bemidji State
Tory Lund
USHS-MN 2021-22
0.38
actual FR PPG at Bemidji State

D2/3 Comparables

Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Hunter Scanlon
UMass Dartmouth · 2023-24
0.611 Average
actual D2/3 PPG
Ben Blasko
Nazareth · 2012-13
1.000 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.