| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Cape Breton Eagles | QMJHL | 35 | 3 | 2 | 5 | 0.143 | 0.0710 | 0.0710 | 0.3811 | 0.3811 |
| 2021-22 | Cape Breton Eagles | QMJHL | 67 | 5 | 12 | 17 | 0.254 | 0.1261 | 0.1325 | 0.6766 | 0.7110 |
| 2022-23 | — | QMJHL | 48 | 6 | 9 | 15 | 0.312 | 0.1554 | 0.1557 | 0.8334 | 0.8350 |
| 2023-24 | Rouyn-Noranda Huskies | QMJHL | 59 | 14 | 13 | 27 | 0.458 | 0.2275 | 0.2167 | 1.2204 | 1.1625 |
| 2024-25 | Acadie-Bathurst Titan | QMJHL | 56 | 4 | 11 | 15 | 0.268 | 0.1332 | 0.1203 | 0.7145 | 0.6455 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canisius | D1 | AHA | — | 31 | 5 | 12 | 17 | 0.548 |
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.