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Kyle Furey Elite Prospects ↗

Position: Defense DOB: 2002-02-05 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
2018-19 Lawrence Academy NE-Prep 29 0 7 7 0.241 0.0466 0.0466 0.1105 0.1105
2019-20 Lawrence Academy NE-Prep 27 3 10 13 0.481 0.0929 0.0929 0.2203 0.2203
2020-21 Youngstown Phantoms USHL 46 1 9 10 0.217 0.1282 0.1282 0.6405 0.6405
2021-22 Lone Star Brahmas NAHL 48 7 27 34 0.708 0.2516 0.2469 0.7436 0.7296
■ 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 Endicott D3 CNE — 28 3 19 22 0.786
2024-25 Northeastern D1 HockeyEast — 3 0 0 0 0.000
2022-23 Northeastern D1 HockeyEast — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#6588
Defenseman overall
#1618
Defenseman born in 2002

D1 Comparables

Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG

D2/3 Comparables

Caleb Serre
Wisconsin-Stout · 2018-19
0.600 Average
actual D2/3 PPG
Kevin MacLellan
SUNY Potsdam · 2005-06
0.647 Average
actual D2/3 PPG
Derek Hansberry
Wisconsin-River Falls · 2003-04
1.259 Elite
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.