icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Québec As M18 AAA | QMAAA-W | 24 | 0 | 4 | 4 | 0.167 | 0.0244 | 0.0234 | — | — |
| 2022-23 | Cégep Limoilou Titans | QCHL-W | 29 | 2 | 0 | 2 | 0.069 | 0.0187 | 0.0192 | — | — |
| 2023-24 | Cégep Limoilou Titans | QCHL-W | 30 | 1 | 5 | 6 | 0.200 | 0.0543 | 0.0532 | — | — |
| 2024-25 | Cégep Limoilou Titans | QCHL-W | 30 | 0 | 7 | 7 | 0.233 | 0.0633 | 0.0588 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | King's | D3 | — | FR | 11 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Wilkes | D3 | — | FR | 1 | 0 | 0 | 0 | 0.000 |
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.