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Max Johnson Elite Prospects ↗

Position: Forward DOB: 1998-05-12 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 Lakeville North High USHS-MN 24 14 23 37 1.542 0.1952 0.1970 3.0034 3.3123
2016-17 Sioux Falls Stampede USHL 58 11 9 20 0.345 0.2034 0.2045 1.0356 1.0412
■ 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 Wisconsin D1 BigTen — 31 5 2 7 0.226
2020-21 Bowling Green D1 WCHA SR 27 10 14 24 0.889
2019-20 Bowling Green D1 WCHA JR 34 6 19 25 0.735
2018-19 Bowling Green D1 WCHA SO 41 19 24 43 1.049
2017-18 Bowling Green D1 WCHA FR 41 13 17 30 0.732
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.73
2017-18 · Bowling Green
+324.2% vs. projection

NCAAe Rankings

#16531
Forward overall
#768
Forward born in 1998

D1 Comparables

Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Parker Mismash
St. Scholastica · 2014-15
0.615 Average
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2012-13
1.080 Elite
actual D2/3 PPG
Kyle Doll
Gustavus Adolphus · 2021-22
0.640 Average
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.