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Connor Sleeth Elite Prospects ↗

Position: Forward DOB: 1999-02-11 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
2017-18 Renfrew Wolves CCHL 56 15 19 34 0.607 0.1317 0.1324 0.4697 0.4721
2018-19 Renfrew Wolves CCHL 62 33 39 72 1.161 0.2519 0.2420 0.8985 0.8631
2019-20 Vernon Vipers BCHL 57 6 19 25 0.439 0.1690 0.1690 0.6383 0.6383
■ 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 26 4 9 13 0.500
2022-23 SUNY Oswego D3 SUNYAC SO 26 4 11 15 0.577
2021-22 SUNY Oswego D3 SUNYAC FR 25 6 16 22 0.880
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.88
2021-22 · SUNY Oswego
+418.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
12%
NCAA D2/D3
18%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#23185
Forward overall
#1154
Forward born in 1999

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
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

Chance Gorman
Elmira · 2018-19
0.800 Strong
actual D2/3 PPG
A.J. Tucker
St. Scholastica · 2003-04
1.111 Elite
actual D2/3 PPG
Matt Williams
Marian · 2007-08
1.148 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.