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Philippe Blais-Savoie Elite Prospects ↗

Position: Defense DOB: 2005-06-10 Country: USA
No commitment set

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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
2022-23 Tri-City Storm USHL 61 2 9 11 0.180 0.1064 0.1123 0.5415 0.5716
2023-24 Tri-City Storm USHL 55 4 11 15 0.273 0.1609 0.1618 0.8190 0.8238
■ 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 Colorado College D1 NCHC SO 28 7 5 12 0.429
2024-25 Colorado College D1 NCHC — 30 4 11 15 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.50
2024-25 · Colorado College
+273.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#11403
Defenseman overall
#2352
Defenseman born in 2005
#3383
in USHL

D1 Comparables

Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.19 Developing D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Scott Moldenhauer
USHL · 2012-13 · 0.21 PPG
→ Western Michigan (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG

D2/3 Comparables

Jered Stevenson
Lebanon Valley · 2017-18
0.667 Strong
actual D2/3 PPG
Peter Morgan
SUNY Geneseo · 2018-19
1.517 Elite
actual D2/3 PPG
Shane Prifrel
Worcester State · 2019-20
0.630 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.