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Bobby Landry Elite Prospects ↗

Position: Forward DOB: 2004-03-22 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 Dexter NE-Prep 25 3 1 4 0.160 0.0309 0.0309 0.0732 0.0732
2021-22 Dexter NE-Prep 25 3 6 9 0.360 0.0694 0.0694 0.1647 0.1647
2022-23 Coquitlam Express BCHL 11 1 0 1 0.091 0.0350 0.0356 0.1325 0.1347
■ 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 Colby D3 NESCAC JR 22 1 3 4 0.182
2024-25 Colby D3 NESCAC SO 24 8 5 13 0.542
2023-24 Colby D3 NESCAC FR 23 2 5 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.30
2023-24 · Colby
+624.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
10%
NCAA D2/D3
15%
Age-Out / Club
65%
Pro / Other

NCAAe Rankings

#34466
Forward overall
#2093
Forward born in 2004

D1 Comparables

Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Sam Hanson
Saint Mary's (MN) · 2019-20
0.292 Developing
actual D2/3 PPG
James Tepper
Colby · 2018-19
0.167 Developing
actual D2/3 PPG
Peter White
Western New England · 2017-18
0.000 No data
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.