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Connor Gourley Elite Prospects ↗

Position: Forward DOB: 2004-07-28 Country: Canada
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 Camrose Kodiaks AJHL 8 4 3 7 0.875 0.2903 0.2903 0.8109 0.8109
2021-22 — AJHL 53 10 12 22 0.415 0.1377 0.1492 0.3847 0.4167
2022-23 Okotoks Oilers AJHL 49 16 12 28 0.571 0.1896 0.1960 0.5296 0.5474
2023-24 Okotoks Oilers AJHL 37 12 20 32 0.865 0.2870 0.2831 0.8016 0.7908
■ 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 Robert Morris D1 AHA SO 28 2 4 6 0.214
2024-25 Robert Morris D1 AHA — 23 1 0 1 0.043
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.04
2024-25 · Robert Morris
-79.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
38%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#23856
Forward overall
#1318
Forward born in 2004

D1 Comparables

Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Jared Wynia
Fredonia · 2009-10
0.789 Strong
actual D2/3 PPG
Nate Rein
Wisconsin-Superior · 2003-04
0.967 Strong
actual D2/3 PPG
Colton Alexander
Canton · 2023-24
0.720 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.