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Jack Rimmer Elite Prospects ↗

Position: Forward DOB: 2005-09-09 Country: Canada
Niagara
AHA D1

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
2021-22 North York Rangers OJHL 52 5 13 18 0.346 0.0849 0.0964 0.2384 0.2707
2022-23 North York Rangers OJHL 51 22 32 54 1.059 0.2595 0.2814 0.7290 0.7904
2023-24 Collingwood Blues OJHL 51 25 40 65 1.274 0.3124 0.3225 0.8775 0.9059
2024-25 Collingwood Blues OJHL 24 15 23 38 1.583 0.3881 0.3807 1.0901 1.0694
2025-26 Nanaimo Clippers BCHL 53 25 27 52 0.981 0.3780 0.3619 1.4278 1.3669
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#11773
Forward overall
#556
Forward born in 2005

D1 Comparables

Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.44 Developing
NCAAe PPG

Niagara Alumni similar profiles who attended this school

Tyson Zimmer
BCHL 2024-25
0.29
actual FR PPG at Niagara
Tanner Lomsnes
NAHL 2014-15
0.32
actual FR PPG at Niagara
Kris Spriggs
AJHL 2015-16
0.46
actual FR PPG at Niagara
Spencer Young
OJHL 2023-24
0.35
actual FR PPG at Niagara

D2/3 Comparables

Joel Covelli
Colby · 2004-05
1.042 Elite
actual D2/3 PPG
Anthony Libonati
Becker · 2006-07
1.000 Elite
actual D2/3 PPG
Mitch Stephens
SUNY Geneseo · 2002-03
1.077 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.