IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

John Kremer Elite Prospects ↗

Position: Forward DOB: 2004-03-30 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
2019-20 East Ridge USHS-MN 24 1 1 2 0.083 0.0105 0.0105 0.0202 0.0202
2020-21 East Ridge USHS-MN 18 7 9 16 0.889 0.1125 0.1125 0.2159 0.2159
2021-22 East Ridge USHS-MN 25 4 17 21 0.840 0.1063 0.1063 0.2040 0.2040
2022-23 Northern Manitoba Blizzard MJHL 47 6 11 17 0.362 0.0696 0.0714 0.2281 0.2339
2023-24 Rock Springs Miners NCDC 48 12 14 26 0.542 0.2209 0.2179 0.4354 0.4295
■ 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
2024-25 Hamline D3 MIAC — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
28%
Other

NCAAe Rankings

#23585
Forward overall
#1312
Forward born in 2004

D1 Comparables

Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Josh Adkins
Concordia · 2014-15
0.640 Average
actual D2/3 PPG
Hunter Canestra
Lebanon Valley · 2018-19
0.000 No data
actual D2/3 PPG
Adam Fauchoux
Concordia · 2013-14
0.600 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.