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Zakary Karpa Elite Prospects ↗

Position: Forward DOB: 2002-03-25 Country: USA
2022 NHL Draft Round 6, Pick #191  ·  New York Rangers New York Rangers
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 U.S. National U17 Team NTDP-U18 12 0 3 3 0.250 0.1938 0.1975 0.9305 0.9481
2019-20 U.S. National U18 Team NTDP-U18 47 2 7 9 0.192 0.1485 0.1485 0.7127 0.7127
2020-21 — USHL 48 9 19 28 0.583 0.3586 0.3586 1.7185 1.7185
■ 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
2024-25 Harvard D1 ECAC SR 31 1 6 7 0.226
2023-24 Harvard D1 ECAC JR 31 4 4 8 0.258
2022-23 Harvard D1 ECAC SO 22 5 3 8 0.364
2021-22 Harvard D1 ECAC FR 33 6 6 12 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.36
2021-22 · Harvard
+115.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
0%
NCAA D2/D3
75%
Pro / Other

NCAAe Rankings

#22709
Forward overall
#1257
Forward born in 2002

D1 Comparables

Cody Milan
USHL · 2012-13 · 0.29 PPG
→ Michigan (0.24 D1 FR PPG)
0.20 Developing
NCAAe PPG
Michael Booth
USHL · 2012-13 · 0.24 PPG
→ Boston College (0.16 D1 FR PPG)
0.16 Developing
NCAAe PPG
Liam Pecararo
USHL · 2012-13 · 0.36 PPG
→ Maine (0.36 D1 FR PPG)
0.24 Average
NCAAe PPG
Alex Tuch
USHL · 2012-13 · 0.26 PPG
→ Boston College (0.76 D1 FR PPG)
0.18 Strong
NCAAe PPG
Dakota Joshua
NTDP-U18 · 2012-13 · 0.33 PPG
→ Ohio State (0.59 D1 FR PPG)
0.27 Strong
NCAAe PPG

D2/3 Comparables

Garrett Hallford
Trine · 2013-14
0.960 Strong
actual D2/3 PPG
Tom Bark
Lake Forest · 2006-07
1.120 Elite
actual D2/3 PPG
Austin Dollimer
Augsburg · 2014-15
0.750 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.