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Gustavs Ozolins Elite Prospects ↗

Position: Defense DOB: 2003-06-19 Country: Latvia
No commitment set

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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
2021-22 Sioux Falls Stampede USHL 11 0 4 4 0.364 0.2235 0.2254 1.0712 1.0805
2022-23 Minnesota Wilderness NAHL 35 3 21 24 0.686 0.2717 0.2718 0.7199 0.7202
2023-24 Minnesota Wilderness NAHL 51 6 21 27 0.529 0.2097 0.1998 0.5558 0.5294
■ 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 RPI D1 ECAC SO 34 1 2 3 0.088
2024-25 RPI D1 ECAC — 31 1 2 3 0.097
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.10
2024-25 · RPI
-55.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#5007
Defenseman overall
#1274
Defenseman born in 2003

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Colin Phaneuf
St. Scholastica · 2010-11
0.400 Average
actual D2/3 PPG
Kenny Matheson
Hamilton · 2011-12
0.889 Strong
actual D2/3 PPG
Brendan Kennedy
Babson · 2021-22
0.696 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.