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Adler Johnston Elite Prospects ↗

Position: Forward DOB: 2004-04-05 Country: USA
No commitment set

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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
2022-23 Austin Bruins NAHL 23 0 3 3 0.130 0.0463 0.0482 0.1369 0.1424
2023-24 Portage Terriers MJHL 22 6 5 11 0.500 0.0963 0.0938 0.3151 0.3069
2024-25 — MJHL 57 10 12 22 0.386 0.0743 0.0683 0.2433 0.2236
■ 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 Saint Mary's (MN) D3 MIAC FR 14 1 1 2 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.14
2025-26 · Saint Mary's (MN)
+112.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
12%
NCAA D2/D3
65%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#45755
Forward overall
#3081
Forward born in 2004

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 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
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Keith Clarke
Hobart · 2009-10
0.188 Developing
actual D2/3 PPG
Kyle Meeh
Saint Mary's (MN) · 2015-16
0.560 Average
actual D2/3 PPG
Andrew Nieusma
Lake Forest · 2021-22
0.182 Developing
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.