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

Connor Hurley Elite Prospects ↗

Position: Forward DOB: 1995-09-15 Country: USA
2013 · Round 2, Pick #38  ·  Buffalo Sabres Buffalo Sabres
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
2012-13 Muskegon Lumberjacks USHL 11 1 7 8 0.727 0.4290 0.4573 2.1844 2.3286
2013-14 — USHL 56 13 37 50 0.893 0.5267 0.5368 2.6817 2.7333
■ 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
2017-18 Minnesota D1 BigTen — 0 0 0 0 0.000
2016-17 Notre Dame D1 BigTen JR 21 4 12 16 0.762
2015-16 Notre Dame D1 BigTen SO 36 6 12 18 0.500
2014-15 Notre Dame D1 BigTen FR 41 4 10 14 0.342
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.34
2014-15 · Notre Dame
-27.4% vs. projection

NCAAe Rankings

#8091
Forward overall
#376
Forward born in 1995
#636
in USHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Geordan Buffoline
University of New England · 2017-18
1.667 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 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.