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Blake O'Neill Elite Prospects ↗

Position: Defense DOB: 1994-04-24 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
2012-13 Collingwood Blues OJHL 6 0 1 1 0.167 0.0466 0.0472 0.1150 0.1164
2013-14 Collingwood Blues OJHL 50 2 19 21 0.420 0.1173 0.1127 0.2898 0.2785
2014-15 Collingwood Blues OJHL 46 1 19 20 0.435 0.1215 0.1105 0.3001 0.2729
■ 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
2018-19 Elmira D3 UCHC SR 23 2 9 11 0.478
2017-18 Elmira D3 UCHC JR 28 4 8 12 0.429
2016-17 Elmira D3 UCHC SO 23 3 6 9 0.391
2015-16 Elmira D3 UCHC FR 23 2 11 13 0.565
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.57
2015-16 · Elmira
+437.8% vs. projection

NCAAe Rankings

#9839
Defenseman overall
#1384
Defenseman born in 1994
#3122
in OJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG
Drew Brevig
NAHL · 2012-13 · 0.64 PPG
→ Ohio State (0.50 D1 FR PPG)
0.22 Elite D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Kyle Badham
SUNY Oswego · 2009-10
0.250 Developing
actual D2/3 PPG
Chase Paylor
St. Thomas · 2012-13
0.000 No data
actual D2/3 PPG
Matt Beer
Morrisville · 2010-11
0.458 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.