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Casy Laylin Elite Prospects ↗

Position: Forward DOB: 2004-01-09 Country: USA
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
2019-20 St. Michael-Albertville USHS-MN 27 9 34 43 1.593 0.4287 0.4287 0.3868 0.3868
2020-21 St. Michael-Albertville USHS-MN 19 10 9 19 1.000 0.2692 0.2692 — —
2021-22 Chicago Steel USHL 38 1 5 6 0.158 0.0971 0.1007 0.4652 0.4822
2022-23 — BCHL 33 6 13 19 0.576 0.2145 0.2160 0.8390 0.8448
2023-24 Salmon Arm Silverbacks BCHL 50 10 19 29 0.580 0.2160 0.2076 0.8451 0.8122
■ 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 St. Thomas D1 CCHA SO 18 1 5 6 0.333
2024-25 St. Thomas D1 CCHA — 38 4 7 11 0.289
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.29
2024-25 · St. Thomas
+60.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
50%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#29999
Forward overall
#1769
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Kevin Van Bokkelen
Lebanon Valley · 2016-17
0.550 Average
actual D2/3 PPG
Billy Foulds
Manhattanville · 2000-01
0.640 Average
actual D2/3 PPG
Anthony Pickering
Concordia (WI) · 2013-14
0.809 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.