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Daniel Juzych Elite Prospects ↗

Position: Defense DOB: 2002-03-28 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
2020-21 Fairbanks Ice Dogs NAHL 21 0 1 1 0.048 0.0169 0.0169 0.0500 0.0500
2021-22 Springfield Jr. Blues NAHL 35 1 7 8 0.229 0.0812 0.0802 0.2400 0.2372
■ 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 Colby D3 NESCAC SR 14 2 3 5 0.357
2024-25 Colby D3 NESCAC JR 10 0 1 1 0.100
2023-24 Colby D3 NESCAC SO 2 1 0 1 0.500
2022-23 Colby D3 NESCAC FR 22 3 2 5 0.227
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.23
2022-23 · Colby
+200.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#23830
Defenseman overall
#3634
Defenseman born in 2002
#6374
in NAHL

D1 Comparables

Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

D2/3 Comparables

Matthew Sollows
SUNY Plattsburgh · 2010-11
0.000 No data
actual D2/3 PPG
Ben Butcher
Buffalo State · 2014-15
0.368 Average
actual D2/3 PPG
Conor Landrigan
Utica · 2015-16
1.038 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.