| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Saint John Sea Dogs | QMJHL | 50 | 4 | 11 | 15 | 0.300 | 0.1492 | 0.1492 | 0.8001 | 0.8001 |
| 2020-21 | Saint John Sea Dogs | QMJHL | 30 | 2 | 7 | 9 | 0.300 | 0.1492 | 0.1492 | 0.8001 | 0.8001 |
| 2021-22 | Val-d'Or Foreurs | QMJHL | 68 | 19 | 50 | 69 | 1.015 | 0.5045 | 0.4746 | 2.7062 | 2.5458 |
| 2022-23 | Val-d'Or Foreurs | QMJHL | 36 | 8 | 26 | 34 | 0.944 | 0.4696 | 0.4188 | 2.5187 | 2.2463 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Providence | D1 | HockeyEast | — | 31 | 5 | 9 | 14 | 0.452 |
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.