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Sebastian Törnqvist Elite Prospects ↗

Position: Defense DOB: 2003-05-22 Country: Sweden
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
2018-19 Rögle BK U20 SuperElit 6 0 1 1 0.167 0.0653 0.0750 0.2048 0.2352
2019-20 Rögle BK U20 SuperElit 10 0 0 0 0.000 — — — —
2020-21 Rögle BK U20 SuperElit 4 0 1 1 0.250 0.0979 0.0979 0.3071 0.3071
2021-22 Rögle BK U20 SuperElit 47 11 24 35 0.745 0.2918 0.2906 0.9147 0.9109
2022-23 Tri-City Storm USHL 50 11 18 29 0.580 0.3565 0.3397 1.7088 1.6283
■ 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 Vermont D1 HockeyEast — 33 5 8 13 0.394
2024-25 Vermont D1 HockeyEast — 31 1 17 18 0.581
2023-24 UMass D1 HockeyEast — 14 0 3 3 0.214
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.21
2023-24 · UMass
-29.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#2176
Defenseman overall
#492
Defenseman born in 2003

D1 Comparables

Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.32 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2007-08
1.357 Elite
actual D2/3 PPG
Jordan Reed
Curry · 2009-10
0.885 Strong
actual D2/3 PPG
Rusty Masters
Elmira · 2005-06
0.962 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.