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Tyler O'Neill Elite Prospects ↗

Position: Forward DOB: 1996-04-23 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
2011-12 Rockland Nationals CCHL 15 1 1 2 0.133 0.0426 0.0493 0.1032 0.1194
2012-13 Rockland Nationals CCHL 6 0 0 0 0.000 — — — —
2013-14 Rockland Nationals CCHL 29 1 2 3 0.103 0.0330 0.0351 0.0800 0.0851
2014-15 — CCHL 57 9 23 32 0.561 0.1793 0.1824 0.4346 0.4421
2015-16 Pembroke Lumber Kings CCHL 58 12 23 35 0.603 0.1927 0.1867 0.4671 0.4526
■ 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
2019-20 Lake Forest D1 — SR 7 0 2 2 0.286
2019-20 Lake Forest D3 NCHA SR 7 0 2 2 0.286
2018-19 Lake Forest D1 — JR 16 1 2 3 0.188
2018-19 Lake Forest D3 NCHA JR 16 1 2 3 0.188
2017-18 Lake Forest D3 NCHA SO 9 0 0 0 0.000
2016-17 Lake Forest D3 NCHA FR 9 0 1 1 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.11
2016-17 · Lake Forest
-29.8% vs. projection

NCAAe Rankings

#36244
Forward overall
#1567
Forward born in 1996
#1099
in CCHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Riley Meyer
Hamline · 2016-17
0.000 No data
actual D2/3 PPG
Ben Schmidling
St. Norbert · 2017-18
0.833 Strong
actual D2/3 PPG
Jack McDonald
SUNY Geneseo · 2022-23
0.652 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.