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Kurt Gurkan Elite Prospects ↗

Position: Forward DOB: 2004-02-13 Country: USA
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
2019-20 Exeter NE-Prep 30 3 9 12 0.400 0.0792 0.0792 0.1822 0.1822
2020-21 Jersey Hitmen USPHL-Premier 3 2 2 4 1.333 0.1744 0.1744 0.4525 0.4525
2021-22 Exeter NE-Prep 28 17 18 35 1.250 0.2476 0.2476 0.5695 0.5695
2022-23 Blackfalds Bulldogs AJHL 32 9 8 17 0.531 0.1782 0.1801 0.4916 0.4970
2023-24 — AJHL 44 12 13 25 0.568 0.1906 0.1837 0.5258 0.5068
2024-25 Muskegon Lumberjacks USHL 51 2 6 8 0.157 0.0926 0.0823 0.4712 0.4188
■ 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 Yale D1 ECAC FR 12 1 2 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.25
2025-26 · Yale
+137.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
65%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#41535
Forward overall
#2709
Forward born in 2004

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Antonio Demacopoulos
Fredonia · 2018-19
0.273 Developing
actual D2/3 PPG
Joseph Sposit
Nichols · 2010-11
0.778 Strong
actual D2/3 PPG
Nick Minerva
Neumann · 2016-17
0.667 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.