IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Xavier Lapointe Elite Prospects ↗

Position: Defense DOB: 2002-01-26 Country: Canada
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 Janesville Jets NAHL 28 2 2 4 0.143 0.0525 0.0525 0.1508 0.1508
2020-21 Janesville Jets NAHL 39 2 13 15 0.385 0.1413 0.1413 0.4059 0.4059
2021-22 Flin Flon Bombers SJHL 58 19 31 50 0.862 0.2209 0.2148 0.6499 0.6321
■ 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 RIT D1 AHA SR 17 2 6 8 0.471
2024-25 RIT D1 AHA JR 27 5 10 15 0.556
2023-24 RIT D1 AHA SO 28 2 8 10 0.357
2022-23 RIT D1 AHA FR 28 1 2 3 0.107
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.11
2022-23 · RIT
-47.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
10%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#8049
Defenseman overall
#1838
Defenseman born in 2002

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG

D2/3 Comparables

Steve Gervais
Neumann · 2008-09
0.625 Average
actual D2/3 PPG
Michael Parks
Finlandia · 2003-04
1.208 Elite
actual D2/3 PPG
Teddie Hember
Salve Regina · 2022-23
0.538 Average
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.