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Bode Laylin Elite Prospects ↗

Position: Defense DOB: 2007-11-17 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
2023-24 Tri-City Storm USHL 9 0 0 0 0.000 — — — —
2024-25 Tri-City Storm USHL 59 2 17 19 0.322 0.2050 0.2207 0.9649 1.0389
2025-26 Tri-City Storm USHL 55 11 27 38 0.691 0.4400 0.4525 2.0704 2.1292
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
2%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#905
Defenseman overall
#227
Defenseman born in 2007
#1264
in USHL

D1 Comparables

Will Butcher
NTDP-U18 · 2012-13 · 0.55 PPG
→ Denver (0.42 D1 FR PPG)
0.42 Strong D
NCAAe PPG
Michael Kapla
USHL · 2012-13 · 0.49 PPG
→ UMass Lowell (0.41 D1 FR PPG)
0.32 Strong D
NCAAe PPG
Clark Kuster
USHL · 2012-13 · 0.47 PPG
→ St. Cloud State
0.31 No data
NCAAe PPG
Matt Nuttle
USHL · 2012-13 · 0.67 PPG
→ Cornell
0.44 No data
NCAAe PPG
Dan Renouf
USHL · 2012-13 · 0.49 PPG
→ Maine (0.32 D1 FR PPG)
0.31 Strong D
NCAAe PPG

D2/3 Comparables

Sam Anderson
Albertus Magnus · 2017-18
0.720 Strong
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 Elite
actual D2/3 PPG
Nolan Redler
UMass Boston · 2015-16
1.125 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.