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Phil Kiss Elite Prospects ↗

Position: Defense DOB: 1993-02-02 Country: Hungary
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
2009-10 Burlington Cougars OJHL 9 1 2 3 0.333 0.0817 0.0892 0.2292 0.2502
2010-11 Burlington Cougars OJHL 37 3 7 10 0.270 0.0663 0.0693 0.1859 0.1943
2011-12 — OJHL 43 6 22 28 0.651 0.1596 0.1598 0.4478 0.4482
2012-13 — OJHL 41 4 9 13 0.317 0.0777 0.0739 0.2181 0.2074
2013-14 Georgetown Raiders OJHL 53 6 17 23 0.434 0.1064 0.0958 0.2985 0.2687
■ 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
2017-18 Curry D3 CNE SR 23 6 4 10 0.435
2016-17 Curry D3 CNE JR 21 0 6 6 0.286
2015-16 Curry D3 CNE SO 21 0 5 5 0.238
2014-15 Curry D3 CNE FR 27 3 6 9 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.33
2014-15 · Curry
+305.5% vs. projection

NCAAe Rankings

#12477
Defenseman overall
#1443
Defenseman born in 1993
#2540
in OJHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Andrew MacKenzie
Wisconsin-Superior · 2004-05
0.300 Developing
actual D2/3 PPG
Alex Way
Concordia (WI) · 2018-19
0.391 Average
actual D2/3 PPG
Scott Deur
Saint Mary's (MN) · 2009-10
0.391 Average
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.