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Simon Boyko Elite Prospects ↗

Position: Forward DOB: 1999-02-04 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
2014-15 Newmarket Hurricanes OJHL 2 0 0 0 0.000 — — — —
2016-17 Jersey Hitmen USPHL-Premier-Classic 37 11 27 38 1.027 0.2883 0.3153 0.8444 0.9236
2017-18 Brooks Bandits AJHL 56 18 30 48 0.857 0.2875 0.2885 0.7932 0.7960
2018-19 Brooks Bandits AJHL 53 23 33 56 1.057 0.3544 0.3385 0.9778 0.9339
■ 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
2022-23 Aurora D3 NCHA — 13 4 12 16 1.231
2021-22 Aurora D3 NCHA — 27 18 10 28 1.037
2020-21 Vermont D1 HockeyEast SO 7 2 0 2 0.286
2019-20 Vermont D1 HockeyEast FR 23 1 2 3 0.130
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.13
2019-20 · Vermont
-52.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#14801
Forward overall
#691
Forward born in 1999

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG

D2/3 Comparables

Ryan Dunner
Fredonia · 2015-16
0.545 Average
actual D2/3 PPG
Dillon Henningson
Manhattanville · 2005-06
0.765 Strong
actual D2/3 PPG
Nick DeSousa
Neumann · 2010-11
1.000 Elite
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.