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Matej Palfy Elite Prospects ↗

Position: Defense DOB: 2001-03-26 Country: Slovakia
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
2018-19 Texas Jr. Brahmas NA3HL 46 12 18 30 0.652 0.0831 0.0888 0.2063 0.2203
2019-20 Texas Jr. Brahmas NA3HL 47 11 29 40 0.851 0.1084 0.1084 0.2692 0.2692
2020-21 Texas Jr. Brahmas NA3HL 21 8 16 24 1.143 0.1456 0.1456 0.3615 0.3615
2021-22 — NAHL 20 2 0 2 0.100 0.0367 0.0344 0.1057 0.0991
■ 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. Scholastica D3 MIAC SR 21 1 5 6 0.286
2024-25 St. Scholastica D3 MIAC JR 21 1 0 1 0.048
2023-24 St. Scholastica D3 MIAC SO 13 1 1 2 0.154
2022-23 St. Scholastica D3 MIAC FR 22 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
2%
NCAA D2/D3
75%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14098
Defenseman overall
#2423
Defenseman born in 2001

D1 Comparables

USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Anna Maria · 2022-23
0.250 Developing
actual D2/3 PPG
SUNY Morrisville · 2017-18
0.000 No data
actual D2/3 PPG
SUNY Oswego · 2017-18
0.143 Developing
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.