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Colton Schell Elite Prospects ↗

Position: Forward DOB: 2000-09-03 Country: Canada
No commitment set

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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
2017-18 Melfort Mustangs SJHL 3 0 0 0 0.000 — — — —
2018-19 Melfort Mustangs SJHL 22 2 2 4 0.182 0.0466 0.0491 0.1370 0.1444
2019-20 Melfort Mustangs SJHL 57 9 18 27 0.474 0.1214 0.1214 0.3571 0.3571
2020-21 Melfort Mustangs SJHL 5 2 0 2 0.400 0.1025 0.1025 0.3015 0.3015
■ 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 Concordia D3 MIAC — 15 0 4 4 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.27
2021-22 · Concordia
+535.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
5%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

#46806
Forward overall
#2658
Forward born in 2000
#1442
in SJHL

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG

D2/3 Comparables

Ben Lauder
Milwaukee School of Engineering · 2007-08
0.556 Average
actual D2/3 PPG
Jordan Court
Neumann · 2014-15
0.000 No data
actual D2/3 PPG
Jacen Bracko
Concordia · 2015-16
0.577 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.