IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

J.P. Turner Elite Prospects ↗

Position: Forward DOB: 2003-01-31 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
2020-21 Sioux Falls Stampede USHL 21 4 0 4 0.191 0.1171 0.1171 0.5613 0.5613
2021-22 — USHL 56 13 8 21 0.375 0.2305 0.2281 1.1048 1.0934
2022-23 Fargo Force USHL 61 6 14 20 0.328 0.2016 0.1890 0.9661 0.9059
■ 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 New Hampshire D1 HockeyEast JR 34 3 1 4 0.118
2024-25 New Hampshire D1 HockeyEast — 35 5 8 13 0.371
2023-24 New Hampshire D1 HockeyEast — 24 4 6 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.42
2023-24 · New Hampshire
+137.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
12%
NCAA D2/D3
35%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#29527
Forward overall
#1699
Forward born in 2003
#2810
in USHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Oliver De Croock
Lawrence · 2018-19
0.778 Strong
actual D2/3 PPG
Trevor Boyd
Adrian · 2014-15
1.036 Elite
actual D2/3 PPG
Justin Siebold
Elmira · 2000-01
0.824 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.