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Max Koskipirtti Elite Prospects ↗

Position: Forward DOB: 2004-08-16 Country: Finland
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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
2021-22 Kiekko-Espoo U20 SM-Liiga-Jr 38 8 13 21 0.553 0.2991 0.3264 0.8207 0.8957
2022-23 Kiekko-Espoo U20 SM-Liiga-Jr 44 14 25 39 0.886 0.4798 0.5028 1.3165 1.3797
■ 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 Tech D1 CCHA JR 39 13 22 35 0.897
2024-25 Michigan Tech D1 CCHA SO 36 7 20 27 0.750
2023-24 Michigan Tech D1 CCHA FR 33 4 17 21 0.636
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.64
2023-24 · Michigan Tech
+72.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
0%
NCAA D2/D3
25%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#8554
Forward overall
#334
Forward born in 2004
#224
in SM-Liiga-Jr

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.46 Average
NCAAe PPG

D2/3 Comparables

Mickey Gilchrist
Middlebury · 2002-03
1.000 Elite
actual D2/3 PPG
Joshua Burke
Amherst · 2018-19
0.692 Strong
actual D2/3 PPG
Robbie Murden
Hamilton · 2010-11
1.091 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.