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Jan Gaspar Elite Prospects ↗

Position: Forward DOB: 2004-10-18 Country: Czechia
Signed Professionally
Södertälje SK · Allsvenskan

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 Mountfield HK U20 USHL-Style-Czech 3 0 0 0 0.000 — — — —
2021-22 Södertälje SK U20 SuperElit 33 4 6 10 0.303 0.1187 0.1266 0.3722 0.3969
2022-23 Södertälje SK U20 SHL-J20 31 3 11 14 0.452 0.2494 0.2539 0.6028 0.6137
2023-24 Södertälje SK U20 SuperElit 44 8 22 30 0.682 0.2671 0.2589 0.8375 0.8118
2024-25 Bismarck Bobcats NAHL 29 3 8 11 0.379 0.1503 0.1453 0.3982 0.3850
■ 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 Bentley D1 AHA FR 13 0 1 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.08
2025-26 · Bentley
-52.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#21282
Forward overall
#1158
Forward born in 2004

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Jason Fleck
Augsburg · 2003-04
0.583 Average
actual D2/3 PPG
Martin Gruse
Saint Mary's (MN) · 2012-13
0.680 Strong
actual D2/3 PPG
Kyle Haines
SUNY Cortland · 2007-08
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.