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Mitchell Dolter Elite Prospects ↗

Position: Forward DOB: 1997-09-17 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
2016-17 Mason City Toros NA3HL 40 14 18 32 0.800 0.1004 0.0999 0.2526 0.2514
2017-18 Mason City Toros NA3HL 47 36 36 72 1.532 0.1923 0.1817 0.4836 0.4569
■ 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
2021-22 St. Olaf D3 MIAC SR 29 2 0 2 0.069
2020-21 St. Olaf D3 MIAC JR 0 0 0 0 0.000
2019-20 St. Olaf D3 MIAC SO 23 4 0 4 0.174
2018-19 St. Olaf D3 MIAC FR 24 5 2 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.29
2018-19 · St. Olaf
+128.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#17715
Forward overall
#782
Forward born in 1997
#307
in NA3HL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Vince Marino
Salve Regina · 2018-19
0.714 Strong
actual D2/3 PPG
Tucker Shedd
Plymouth State · 2024-25
0.741 Strong
actual D2/3 PPG
Mitch Walinski
Salve Regina · 2018-19
0.692 Strong
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.