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Zach Johnson Elite Prospects ↗

Position: Forward DOB: 1997-11-19 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 Neepawa Titans MJHL 50 7 11 18 0.360 0.0693 0.0697 0.2269 0.2283
2017-18 Neepawa Titans MJHL 59 18 39 57 0.966 0.1860 0.1781 0.6088 0.5829
■ 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 Marian D1 — FR 1 0 0 0 0.000
2018-19 Marian D3 NCHA — 1 0 0 0 0.000
2013-14 Hamline D3 — SR 23 1 4 5 0.217
2012-13 Hamline D3 — JR 24 4 5 9 0.375
2011-12 Hamline D3 — SO 18 7 6 13 0.722
2010-11 Hamline D3 — FR 19 0 3 3 0.158

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#28921
Forward overall
#1325
Forward born in 1997
#407
in MJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Alex Nagel
Wisconsin-Stout · 2017-18
0.423 Average
actual D2/3 PPG
Kyler Matthews
Canton · 2017-18
0.941 Strong
actual D2/3 PPG
Grant Newcomer
Concordia · 2021-22
0.518 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.