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Cody Gudnason Elite Prospects ↗

Position: Forward DOB: 2003-08-11 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 Neepawa Titans MJHL 1 0 0 0 0.000
2020-21 Neepawa Titans MJHL 7 0 1 1 0.143 0.0389 0.0389 0.0901 0.0901
2021-22 Neepawa Titans MJHL 53 9 10 19 0.358 0.0975 0.1015 0.2259 0.2351
2022-23 Neepawa Titans MJHL 49 9 12 21 0.429 0.1165 0.1158 0.2701 0.2684
2023-24 Neepawa Titans MJHL 45 13 24 37 0.822 0.2236 0.2105 0.5182 0.4878
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 Niagara ACHA_D1 23 5 11 16 0.696
2024-25 Niagara ACHA_D1 23 5 11 16 0.696
2023-24 Niagara ACHA_D1 23 5 11 16 0.696
2022-23 Niagara ACHA_D1 23 5 11 16 0.696
2021-22 Niagara ACHA_D1 23 5 11 16 0.696
2020-21 Niagara ACHA_D1 23 5 11 16 0.696

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#34756
Forward overall
#2122
Forward born in 2003
#798
in MJHL

D1 Comparables

USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Babson · 2016-17
0.556 Average
actual D2/3 PPG
Wisconsin-Stout · 2016-17
0.385 Average
actual D2/3 PPG
SUNY Brockport · 2021-22
0.364 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.