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Bode Laylin Elite Prospects ↗

Position: Defense DOB: 2007-11-17 Country: USA
2026 · Round 6, Pick #164  ·  Calgary Flames Calgary Flames
St. Thomas
NCHC D1

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
2023-24 Tri-City Storm USHL 9 0 0 0 0.000 — — — —
2024-25 Tri-City Storm USHL 59 2 17 19 0.322 0.1899 0.2045 0.9662 1.0403
2025-26 Tri-City Storm USHL 55 11 27 38 0.691 0.4076 0.4192 2.0732 2.1321
2026-27 — WHL 5 0 1 1 0.200 0.0973 0.0973 0.4885 0.4885
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
20%
NCAA D2/D3
28%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#2710
Defenseman overall
#378
Defenseman born in 2007

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG

St. Thomas Alumni similar profiles who attended this school

Colton Jamieson
USHS-MN 2022-23
0.11
actual FR PPG at St. Thomas
Carson Peters
USHS-MN 2020-21
0.14
actual FR PPG at St. Thomas
Chase Cheslock
USHS-MN 2020-21
0.37
actual FR PPG at St. Thomas
Bauer Berry
USHL 2024-25
0.38
actual FR PPG at St. Thomas

D2/3 Comparables

Payton Kender
Rivier · 2023-24
0.840 Strong
actual D2/3 PPG
Stephen Gaul
Manhattanville · 2012-13
0.577 Average
actual D2/3 PPG
Santino DiNubile
Neumann · 2022-23
1.200 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.