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Oliver Tarr Elite Prospects ↗

Position: Forward DOB: 2002-01-20 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
2018-19 Haliburton County Huskies OJHL 4 0 0 0 0.000 — — — —
2019-20 Haliburton County Huskies OJHL 53 17 20 37 0.698 0.2097 0.2097 0.4778 0.4778
2020-21 Haliburton County Huskies OJHL 0 0 0 0 0.000 — — — —
2021-22 Haliburton County Huskies OJHL 52 33 37 70 1.346 0.4044 0.3857 0.9215 0.8788
■ 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 Canisius D1 AHA SR 35 8 12 20 0.571
2024-25 Canisius D1 AHA JR 30 8 7 15 0.500
2023-24 Canisius D1 AHA SO 37 7 8 15 0.405
2022-23 Canisius D1 AHA FR 13 1 1 2 0.154
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.15
2022-23 · Canisius
-53.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
0%
NCAA D2/D3
50%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#13553
Forward overall
#676
Forward born in 2002
#485
in OJHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG

D2/3 Comparables

Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Jory McWilliams
Bethel · 2017-18
0.000 No data
actual D2/3 PPG
Mike Collins
Elmira · 2011-12
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.