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Colby Feist Elite Prospects ↗

Position: Forward DOB: 2002-07-02 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
2019-20 Vernon Vipers BCHL 34 2 6 8 0.235 0.0907 0.0907 0.3429 0.3429
2020-21 Cowichan Valley Capitals BCHL 19 3 2 5 0.263 0.1014 0.1014 0.3835 0.3835
2021-22 Weyburn Red Wings SJHL 28 3 7 10 0.357 0.0915 0.0910 0.2646 0.2630
■ 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 Marian D3 NCHA GR 0 0 0 0 0.000
2024-25 Marian D3 NCHA SR 3 0 0 0 0.000
2023-24 Marian D3 NCHA JR 9 0 2 2 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.22
2023-24 · Marian
+185.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
8%
NCAA D2/D3
22%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#46468
Forward overall
#2970
Forward born in 2002

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Ryan Corry
SUNY Plattsburgh · 2005-06
0.900 Strong
actual D2/3 PPG
Jeff Lumsden
Fredonia · 2000-01
0.476 Average
actual D2/3 PPG
Dan McCauley
Bethel · 2003-04
0.667 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.