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Conor Smart Elite Prospects ↗

Position: Forward DOB: 1999-04-08 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
2015-16 Oakville Blades OJHL 3 0 0 0 0.000 — — — —
2016-17 Caledon Admirals OJHL 54 14 15 29 0.537 0.1316 0.1391 0.3696 0.3907
2017-18 Ottawa Jr. Senators CCHL 58 13 18 31 0.534 0.1159 0.1174 0.4094 0.4146
2018-19 Ottawa Jr. Senators CCHL 58 17 15 32 0.552 0.1197 0.1159 0.4226 0.4092
2019-20 Ottawa Jr. Senators CCHL 61 16 16 32 0.525 0.1138 0.1138 0.4018 0.4018
■ 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
2023-24 SUNY Oswego D3 SUNYAC JR 16 1 2 3 0.188
2022-23 SUNY Oswego D3 SUNYAC SO 23 4 1 5 0.217
2021-22 SUNY Oswego D3 SUNYAC FR 21 3 5 8 0.381
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.38
2021-22 · SUNY Oswego
+282.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#33640
Forward overall
#1830
Forward born in 1999

D1 Comparables

Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Dylan Healey
Trinity · 2015-16
0.518 Average
actual D2/3 PPG
Mitch Kontny
Wisconsin-River Falls · 2011-12
0.593 Average
actual D2/3 PPG
Brad Dormiedy
SUNY Oswego · 2004-05
0.440 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.