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Carson Baylis Elite Prospects ↗

Position: Forward DOB: 2003-09-18 Country: Canada
No commitment set

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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
2021-22 Kindersley Klippers SJHL 58 9 7 16 0.276 0.0707 0.0746 0.2045 0.2157
2022-23 — SJHL 52 20 19 39 0.750 0.1921 0.1930 0.5558 0.5584
2023-24 Notre Dame Hounds SJHL 35 15 13 28 0.800 0.2050 0.1962 0.5929 0.5675
■ 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 Amherst D3 NESCAC SO 18 3 0 3 0.167
2024-25 Amherst D3 NESCAC — 9 0 1 1 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.11
2024-25 · Amherst
-33.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
15%
NCAA D2/D3
55%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#27730
Forward overall
#1584
Forward born in 2003
#485
in SJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Tucker Coborn
Concordia · 2011-12
0.692 Strong
actual D2/3 PPG
Ryan Johnson
Nichols · 2024-25
0.000 No data
actual D2/3 PPG
Dante Zapata
Utica · 2018-19
0.857 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.