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Evan Konyen Elite Prospects ↗

Position: Forward DOB: 2004-02-22 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
2020-21 Sudbury Wolves OHL 0 0 0 0 0.000 — — — —
2021-22 Sudbury Wolves OHL 66 16 34 50 0.758 0.4396 0.4536 1.9414 2.0031
2022-23 Sudbury Wolves OHL 68 17 28 45 0.662 0.3840 0.3796 1.6959 1.6765
2023-24 Sudbury Wolves OHL 55 23 25 48 0.873 0.5064 0.4763 2.2363 2.1036
2024-25 Flint Firebirds OHL 52 14 18 32 0.615 0.3571 0.3175 1.5770 1.4020
■ 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 RIT D1 AHA FR 35 12 12 24 0.686
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.69
2025-26 · RIT
+110.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
5%
NCAA D2/D3
65%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#8309
Forward overall
#313
Forward born in 2004
#581
in OHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Alex Ochterbeck
Curry · 2017-18
0.654 Strong
actual D2/3 PPG
Nicholas Belger
SUNY Plattsburgh · 2014-15
0.905 Strong
actual D2/3 PPG
Connor Inger
New England College · 2017-18
0.692 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.