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Max Doner Elite Prospects ↗

Position: Forward DOB: 1996-11-29 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
2014-15 Yellowstone Quake NA3HL 47 15 22 37 0.787 0.0988 0.1042 0.2485 0.2621
2015-16 Yellowstone Quake NA3HL 47 30 26 56 1.192 0.1495 0.1504 0.3762 0.3785
2016-17 Yellowstone Quake NA3HL 45 28 37 65 1.444 0.1813 0.1732 0.4560 0.4357
■ 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
2018-19 Wisconsin-River Falls D1 BigTen SO 8 0 0 0 0.000
2018-19 Wisconsin-River Falls D3 BigTen SO 8 0 0 0 0.000
2017-18 Wisconsin-River Falls D3 BigTen FR 24 3 3 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.25
2017-18 · Wisconsin-River Falls
+77.9% vs. projection

NCAAe Rankings

#18118
Forward overall
#713
Forward born in 1996
#322
in NA3HL

D1 Comparables

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
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Ian Zaleski
Becker · 2018-19
0.476 Average
actual D2/3 PPG
Ryan Webb
Suffolk · 2021-22
0.609 Average
actual D2/3 PPG
Wyatt Knipfer
Anna Maria · 2018-19
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.