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John Kaljian Elite Prospects ↗

Position: Forward DOB: 1999-11-05 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
2018-19 — NAHL 46 9 8 17 0.370 0.1372 0.1394 0.3913 0.3977
2019-20 Wilkes-Barre/Scranton Knights NAHL 53 17 20 37 0.698 0.2592 0.2592 0.7391 0.7391
■ 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
2023-24 Adrian D3 NCHA SR 32 5 6 11 0.344
2022-23 Adrian D3 NCHA JR 30 11 9 20 0.667
2021-22 Adrian D3 NCHA SO 19 5 11 16 0.842
2020-21 Adrian D3 NCHA FR 21 2 7 9 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.43
2020-21 · Adrian
+259.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
20%
NCAA D2/D3
30%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#19077
Forward overall
#730
Forward born in 1999
#1743
in NAHL

D1 Comparables

Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.18 Developing
NCAAe PPG
Erik Baskin
NAHL · 2012-13 · 0.44 PPG
→ Air Force (0.66 D1 FR PPG)
0.16 Strong
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.15 No data
NCAAe PPG
Conor Lemirande
NAHL · 2012-13 · 0.39 PPG
→ Miami (0.08 D1 FR PPG)
0.15 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Brendan Pomerantz
Chatham · 2021-22
0.438 Average
actual D2/3 PPG
Ian Hofmann
Becker · 2018-19
0.000 No data
actual D2/3 PPG
Joshua Larson
Fitchburg State · 2014-15
0.357 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.