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Kyle O’Leary

Position: Forward DOB: ⚠ Missing — add in admin Country: ?
Yale
ECAC D1

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 Noble & Greenough NE-Prep 26 2 3 5 0.192 0.0381 0.0381 0.0876 0.0876
2022-23 Noble & Greenough NE-Prep 27 4 12 16 0.593 0.1174 0.1174 0.2700 0.2700
2023-24 Noble & Greenough NE-Prep 26 15 23 38 1.462 0.2895 0.2895 0.6659 0.6659
2024-25 Noble & Greenough NE-Prep 27 24 35 59 2.185 0.4329 0.4329 0.9956 0.9956
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
18%
NCAA D2/D3
18%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#7011
Forward overall
#10
in NE-Prep

D1 Comparables

Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.44 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.38 Elite
NCAAe PPG

Yale Alumni similar profiles who attended this school

Kalen Szeto
BCHL 2020-21
0.16
actual FR PPG at Yale
Tom Molson
NE-Prep 2023-24
0.38
actual FR PPG at Yale
Mitchell Smith
USHL 2014-15
0.13
actual FR PPG at Yale
Donovan Frias
BCHL 2022-23
0.40
actual FR PPG at Yale

D2/3 Comparables

Paul Rodrigues
SUNY Oswego · 2006-07
0.893 Strong
actual D2/3 PPG
Lukas Gillett
Augsburg · 2014-15
0.609 Average
actual D2/3 PPG
Gunnar Goodmanson
Augsburg · 2014-15
0.417 Average
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.