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J.P. Eykyn Elite Prospects ↗

Position: Forward DOB: 1997-03-11 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
2014-15 Waseca High USHS-MN 24 13 26 39 1.625 0.2057 0.1955 0.3947 0.3752
2015-16 Coulee Region Chill NA3HL 43 7 21 28 0.651 0.0817 0.0833 0.2056 0.2097
2016-17 Coulee Region Chill NA3HL 45 17 26 43 0.956 0.1199 0.1162 0.3017 0.2925
■ 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
2020-21 Gustavus Adolphus D3 MIAC SR 5 0 0 0 0.000
2019-20 Gustavus Adolphus D3 MIAC JR 25 5 2 7 0.280
2018-19 Gustavus Adolphus D3 MIAC SO 25 1 1 2 0.080
2017-18 Gustavus Adolphus D3 MIAC FR 28 3 5 8 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.29
2017-18 · Gustavus Adolphus
+223.9% vs. projection

NCAAe Rankings

#21826
Forward overall
#999
Forward born in 1997

D1 Comparables

Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Ryan Friedman
Trinity · 2023-24
0.583 Average
actual D2/3 PPG
Brock Forrest
Chatham · 2022-23
0.571 Average
actual D2/3 PPG
Jonathan Stein
Albertus Magnus · 2018-19
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.