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Ryan Gazich Elite Prospects ↗

Position: Defense DOB: 1996-03-03 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
2014-15 Richmond Generals USPHL-Elite 27 2 9 11 0.407 0.0376 0.0386 — —
2016-17 Kenai River Brown Bears NAHL 4 0 0 0 0.000 — — — —
■ 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 Gustavus Adolphus D3 MIAC — 3 0 0 0 0.000

NCAAe Rankings

#21946
Defenseman overall
#2519
Defenseman born in 1996

D1 Comparables

Phil Boje
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.32 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Dylan Maller
USHL · 2012-13 · 0.08 PPG
→ New Hampshire (0.15 D1 FR PPG)
0.05 Average D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.11 Average D
NCAAe PPG
Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Niklas Folin
USHL · 2012-13 · 0.16 PPG
→ UMass Lowell (0.26 D1 FR PPG)
0.09 Average D
NCAAe 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.