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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 0.1128 0.1128 0.1830 0.1830
2020-21 Jersey Hitmen USPHL-Premier 3 2 2 4 1.333 0.4395 0.4395 0.4536 0.4536
2021-22 Exeter NE-Prep 28 17 18 35 1.250 0.3526 0.3526 0.5720 0.5720
2022-23 Blackfalds Bulldogs AJHL 32 9 8 17 0.531 0.1763 0.1782 0.4923 0.4977
2023-24 — AJHL 44 12 13 25 0.568 0.1885 0.1817 0.5266 0.5075
2024-25 Muskegon Lumberjacks USHL 51 2 6 8 0.157 0.0964 0.0857 0.4623 0.4109
■ 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
+135.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
68%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#41266
Forward overall
#2690
Forward born in 2004

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 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)
0.20 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Thomas Williams
St. Thomas · 2009-10
0.593 Average
actual D2/3 PPG
Matt Saler
St. Scholastica · 2004-05
0.518 Average
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2004-05
0.909 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.