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Connor May Elite Prospects ↗

Position: Forward DOB: 1999-08-20 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
2017-18 — OJHL 51 10 9 19 0.372 0.0913 0.0938 0.2565 0.2635
2018-19 Stouffville Spirit OJHL 47 15 21 36 0.766 0.1877 0.1836 0.5274 0.5160
2019-20 Stouffville Spirit OJHL 54 25 41 66 1.222 0.2996 0.2996 0.8415 0.8415
■ 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
2024-25 Adrian D3 NCHA GR 27 1 12 13 0.481
2023-24 Adrian D3 NCHA SR 32 8 16 24 0.750
2022-23 Adrian D3 NCHA JR 20 4 9 13 0.650
2021-22 Adrian D3 NCHA SO 14 2 2 4 0.286
2020-21 Adrian D1 NCHA FR 23 12 6 18 0.783
2020-21 Adrian D3 NCHA FR 23 12 6 18 0.783
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.78
2020-21 · Adrian
+519.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#19690
Forward overall
#971
Forward born in 1999
#746
in OJHL

D1 Comparables

Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Matt Salmon
SUNY Morrisville · 2007-08
0.577 Average
actual D2/3 PPG
Brendan Darby
St. Olaf · 2018-19
0.000 No data
actual D2/3 PPG
Alessio Luciani
Adrian · 2017-18
1.103 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.