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Chase Bell Elite Prospects ↗

Position: Forward DOB: 1997-12-08 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
2014-15 Grande Prairie Storm AJHL 45 6 12 18 0.400 0.1342 0.1472 0.3702 0.4062
2015-16 Grande Prairie Storm AJHL 27 4 12 16 0.593 0.1988 0.2089 0.5484 0.5762
2016-17 Merritt Centennials BCHL 52 14 12 26 0.500 0.1926 0.1934 0.7277 0.7307
2017-18 Merritt Centennials BCHL 38 4 20 24 0.632 0.2434 0.2327 0.9192 0.8789
■ 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
2021-22 Hobart D3 SUNYAC — 21 3 13 16 0.762
2019-20 Hobart D1 SUNYAC SO 21 1 6 7 0.333
2019-20 Hobart D3 SUNYAC — 21 1 6 7 0.333
2018-19 Hobart D1 SUNYAC FR 23 2 5 7 0.304
2018-19 Hobart D3 SUNYAC — 23 2 5 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.30
2018-19 · Hobart
+63.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
42%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#27086
Forward overall
#1239
Forward born in 1997

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Nicholas Bondra
Amherst · 2016-17
0.714 Strong
actual D2/3 PPG
Jory McWilliams
Bethel · 2017-18
0.000 No data
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.