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Nolan Gluchowski Elite Prospects ↗

Position: Defense DOB: 1994-01-24 Country: USA
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
2011-12 Tri-City Storm USHL 6 0 0 0 0.000 — — — —
2012-13 Tri-City Storm USHL 48 8 11 19 0.396 0.2335 0.2298 1.1887 1.1697
2013-14 — USHL 56 3 21 24 0.429 0.2528 0.2369 1.2873 1.2065
■ 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
2017-18 St. Lawrence D1 ECAC SR 36 2 18 20 0.556
2016-17 St. Lawrence D1 ECAC JR 31 4 15 19 0.613
2015-16 St. Lawrence D1 ECAC SO 37 6 10 16 0.432
2014-15 St. Lawrence D1 ECAC FR 29 4 12 16 0.552
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.55
2014-15 · St. Lawrence
+149.6% vs. projection

NCAAe Rankings

#4392
Defenseman overall
#809
Defenseman born in 1994
#2035
in USHL

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG

D2/3 Comparables

Josh Maucieri
St. Thomas · 2018-19
0.800 Strong
actual D2/3 PPG
Louie Kamienski
Endicott · 2023-24
1.000 Elite
actual D2/3 PPG
Harrison Follett
Misericordia · 2023-24
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.