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Bobby May Elite Prospects ↗

Position: Defense DOB: 2003-11-20 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
2021-22 Kimball Union NE-Prep 33 3 15 18 0.545 0.1047 0.1047 0.2485 0.2485
2022-23 West Kelowna Warriors BCHL 49 1 11 12 0.245 0.0944 0.0944 0.3559 0.3559
■ 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 Middlebury D3 NESCAC SR 26 4 6 10 0.385
2024-25 Middlebury D3 NESCAC JR 26 4 6 10 0.385
2023-24 Middlebury D3 NESCAC SO 20 1 7 8 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.40
2023-24 · Middlebury
+330.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#14587
Defenseman overall
#2758
Defenseman born in 2003

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Niklas Folin
USHL · 2012-13 · 0.16 PPG
→ UMass Lowell (0.26 D1 FR PPG)
0.09 Average D
NCAAe PPG

D2/3 Comparables

Jacob Halvorson
Wisconsin-Stout · 2018-19
0.000 No data
actual D2/3 PPG
C.J. Thompson
SUNY Oswego · 2002-03
0.296 Developing
actual D2/3 PPG
Colin Larkin
UMass Boston · 2012-13
1.000 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.