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Cal Dybicz Elite Prospects ↗

Position: Defense DOB: 2000-07-16 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
2016-17 Cedar Rapids RoughRiders USHL 5 0 1 1 0.200 0.1180 0.1315 0.6007 0.6694
2017-18 Minnesota Magicians NAHL 46 8 16 24 0.522 0.1917 0.2101 — —
2018-19 Tri-City Storm USHL 57 1 7 8 0.140 0.0828 0.0839 0.4217 0.4272
2019-20 Tri-City Storm USHL 47 2 8 10 0.213 0.1255 0.1255 0.6391 0.6391
■ 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 Michigan D1 BigTen — 1 0 0 0 0.000
2021-22 Michigan D1 BigTen — 0 0 0 0 0.000
2020-21 Michigan D1 BigTen — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
60%
Pro / Other

NCAAe Rankings

#12474
Defenseman overall
#2149
Defenseman born in 2000
#3473
in USHL

D1 Comparables

Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG

D2/3 Comparables

Neal Sheehan
Fredonia · 2001-02
0.957 Strong
actual D2/3 PPG
Matt Araujo
SUNY Plattsburgh · 2015-16
0.556 Average
actual D2/3 PPG
Jon Gaffney
Utica · 2006-07
0.920 Strong
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.