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Oskari Vuorio Elite Prospects ↗

Position: Forward DOB: 2004-05-06 Country: Finland
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 Kiekko-Espoo U20 SM-Liiga-Jr 11 0 1 1 0.091 0.0493 0.0493 0.1375 0.1375
2021-22 — SM-Liiga-Jr 42 6 12 18 0.429 0.2323 0.2503 0.6482 0.6983
2022-23 Jokerit U20 SM-Liiga-Jr 41 6 10 16 0.390 0.2115 0.2187 0.5901 0.6102
■ 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 Dartmouth D1 ECAC JR 4 0 1 1 0.250
2024-25 Dartmouth D1 ECAC SO 4 1 0 1 0.250
2023-24 Dartmouth D1 ECAC FR 29 0 5 5 0.172
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.17
2023-24 · Dartmouth
-12.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
0%
NCAA D2/D3
20%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#31423
Forward overall
#1873
Forward born in 2004
#952
in SM-Liiga-Jr

D1 Comparables

Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2003-04
1.111 Elite
actual D2/3 PPG
Shane Remenda
SUNY Plattsburgh · 2000-01
0.655 Strong
actual D2/3 PPG
Bryan Black
SUNY Potsdam · 2006-07
0.818 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.