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Jakob Kalin Elite Prospects ↗

Position: Forward DOB: 2002-01-29 Country: Canada
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
2020-21 Steele County Blades USPHL-Premier 15 8 10 18 1.200 0.3955 0.3955 — —
2021-22 Renfrew Wolves CCHL 40 13 13 26 0.650 0.2075 0.1985 0.5032 0.4815
2022-23 Weyburn Red Wings SJHL 54 22 24 46 0.852 0.2595 0.2395 0.6313 0.5827
■ 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 Niagara ACHA_D1 — — 25 12 10 22 0.880
2024-25 Niagara ACHA_D1 — — 25 12 10 22 0.880
2023-24 Niagara ACHA_D1 — — 25 12 10 22 0.880
2022-23 Niagara ACHA_D1 — — 25 12 10 22 0.880
2021-22 Niagara ACHA_D1 — — 25 12 10 22 0.880
2020-21 Niagara ACHA_D1 — — 25 12 10 22 0.880

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#18348
Forward overall
#987
Forward born in 2002

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Franco Loparco
Concordia (WI) · 2012-13
0.500 Average
actual D2/3 PPG
Vladislav Sorokin
Wisconsin-Stout · 2018-19
0.348 Developing
actual D2/3 PPG
Dan Sherer
Milwaukee School of Engineering · 2012-13
1.000 Elite
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.