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Mathieu De St. Phalle Elite Prospects ↗

Position: Forward DOB: 2000-03-20 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
2016-17 Sioux City Musketeers USHL 5 0 0 0 0.000 — — — —
2017-18 — USHL 55 6 21 27 0.491 0.2896 0.3037 1.4744 1.5460
2018-19 — USHL 60 13 38 51 0.850 0.5014 0.4999 2.5529 2.5451
2019-20 Chicago Steel USHL 49 30 30 60 1.224 0.7223 0.7223 3.6777 3.6777
■ 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
2023-24 Wisconsin D1 BigTen — 38 11 16 27 0.711
2022-23 Wisconsin D1 BigTen — 36 13 17 30 0.833
2021-22 Wisconsin D1 BigTen — 36 10 12 22 0.611
2020-21 Wisconsin D1 BigTen — 31 2 6 8 0.258
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.26
2020-21 · Wisconsin
-28.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#4344
Forward overall
#175
Forward born in 2000
#160
in USHL

D1 Comparables

Frank Vatrano
NTDP-U18 · 2012-13 · 0.80 PPG
→ UMass
0.55 No data
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 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.