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

Colin Bella Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 Connecticut RoughRiders EHL 44 17 20 37 0.841 0.1805 0.1805 0.4118 0.4118
2020-21 Connecticut RoughRiders EHL 33 25 29 54 1.636 0.3512 0.3512 0.8013 0.8013
2021-22 Connecticut RoughRiders EHL 46 47 36 83 1.804 0.3872 0.3872 0.8836 0.8836
■ 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 Lake Forest D3 NCHA SR 27 12 2 14 0.518
2024-25 Lake Forest D3 NCHA JR 18 10 3 13 0.722
2023-24 Lake Forest D3 NCHA SO 24 8 3 11 0.458
2022-23 Lake Forest D3 NCHA FR 27 14 12 26 0.963
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.96
2022-23 · Lake Forest
+190.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D2/D3
0%
Club / ACHA
42%
Other

NCAAe Rankings

#8628
Forward overall
#11
in EHL

D1 Comparables

Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.42 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.45 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.34 Strong
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.39 Elite
NCAAe PPG

D2/3 Comparables

Brandon Rose
Elmira · 2000-01
0.643 Average
actual D2/3 PPG
Tyson Gilmour
SUNY Geneseo · 2016-17
0.762 Strong
actual D2/3 PPG
Hunter Stewart
Marian · 2011-12
0.741 Strong
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.