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Connor Mylymok Elite Prospects ↗

Position: Forward DOB: 2000-03-18 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
2016-17 Notre Dame Hounds SJHL 2 0 0 0 0.000 — — — —
2017-18 Notre Dame Hounds SJHL 55 8 12 20 0.364 0.0932 0.1009 0.2738 0.2964
2018-19 Austin Bruins NAHL 54 4 2 6 0.111 0.0408 0.0422 0.1174 0.1215
2019-20 Youngstown Phantoms USHL 5 0 2 2 0.400 0.2360 0.2360 1.2003 1.2003
2020-21 Austin Bruins NAHL 43 8 19 27 0.628 0.2307 0.2307 0.6636 0.6636
■ 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
2023-24 Niagara D1 AHA — 37 6 5 11 0.297
2022-23 Alaska Fairbanks D1 WCHA — 29 1 7 8 0.276
2021-22 Alaska Fairbanks D1 WCHA — 18 3 3 6 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.33
2021-22 · Alaska Fairbanks
+493.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
5%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#27045
Forward overall
#1318
Forward born in 2000

D1 Comparables

Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Scott Clark
Adrian · 2013-14
0.222 Developing
actual D2/3 PPG
Darcy Vaillancourt
Elmira · 2006-07
0.474 Average
actual D2/3 PPG
Michael Hurst
Chatham · 2019-20
0.417 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.