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Michael Regush Elite Prospects ↗

Position: Forward DOB: 1998-09-12 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 Langley Rivermen BCHL 3 0 0 0 0.000 — — — —
2015-16 Merritt Centennials BCHL 56 6 11 17 0.304 0.1170 0.1279 0.4418 0.4831
2016-17 Merritt Centennials BCHL 47 14 22 36 0.766 0.2951 0.3076 1.1148 1.1619
2017-18 Youngstown Phantoms USHL 58 19 29 48 0.828 0.4882 0.4748 2.4856 2.4174
■ 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
2021-22 Miami D1 NCHC — 24 3 6 9 0.375
2020-21 Cornell D1 ECAC — 0 0 0 0 0.000
2019-20 Cornell D1 ECAC SO 29 11 7 18 0.621
2018-19 Cornell D1 ECAC FR 36 12 3 15 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.42
2018-19 · Cornell
+19.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
10%
Pro / Other

NCAAe Rankings

#12282
Forward overall
#557
Forward born in 1998

D1 Comparables

Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.44 Strong
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 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.