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Filip Juříček Elite Prospects ↗

Position: Forward DOB: 2004-12-04 Country: Czechia
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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 — SM-Liiga-Jr 16 1 0 1 0.062 0.0338 0.0374 0.0928 0.1027
2022-23 JYP U20 SM-Liiga-Jr 44 10 6 16 0.364 0.1968 0.2092 0.5400 0.5741
2023-24 JYP U20 SM-Liiga-Jr 47 14 9 23 0.489 0.2649 0.2675 0.7269 0.7339
2024-25 Jokerit U20 SM-Liiga-Jr 33 5 10 15 0.455 0.2460 0.2362 0.6750 0.6482
■ 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 St. Lawrence D1 ECAC — 35 9 9 18 0.514
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.51
2025-26 · St. Lawrence
+141.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
8%
NCAA D2/D3
62%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#22327
Forward overall
#1214
Forward born in 2004
#663
in SM-Liiga-Jr

D1 Comparables

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
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Dan Law
Manhattanville · 2001-02
0.731 Strong
actual D2/3 PPG
Lindsay Walker
Tufts · 2006-07
0.667 Strong
actual D2/3 PPG
Aaron Sawicki
Rivier · 2024-25
0.952 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.