IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Nick Rein Elite Prospects ↗

Position: Defense DOB: 1996-12-12 Country: Italy
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 Calgary Mustangs AJHL 46 0 4 4 0.087 0.0292 0.0306 0.0806 0.0845
2015-16 Kindersley Klippers SJHL 50 0 8 8 0.160 0.0410 0.0416 0.1186 0.1204
2016-17 — SJHL 49 8 16 24 0.490 0.1255 0.1211 0.3630 0.3504
■ 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
2020-21 New England College D3 LittleEast SR 10 1 3 4 0.400
2019-20 New England College D3 LittleEast JR 27 2 9 11 0.407
2018-19 New England College D3 LittleEast SO 26 3 12 15 0.577
2017-18 New England College D3 LittleEast FR 26 1 6 7 0.269
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.27
2017-18 · New England College
+219.3% vs. projection

NCAAe Rankings

#18678
Defenseman overall
#2277
Defenseman born in 1996

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Ryan Galvin
Wilkes · 2017-18
0.000 No data
actual D2/3 PPG
Mitch Kerns
Wisconsin-River Falls · 2005-06
0.571 Average
actual D2/3 PPG
Hayden Haldane
Johnson & Wales · 2018-19
0.000 No data
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.