| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Cape Breton Eagles | QMJHL | 9 | 1 | 1 | 2 | 0.222 | 0.1092 | 0.1092 | 0.5933 | 0.5933 |
| 2021-22 | Cape Breton Eagles | QMJHL | 55 | 8 | 6 | 14 | 0.255 | 0.1250 | 0.1274 | 0.6796 | 0.6928 |
| 2022-23 | Battlefords North Stars | SJHL | 51 | 54 | 48 | 102 | 2.000 | 0.5124 | 0.5144 | 1.5076 | 1.5135 |
| 2023-24 | Edmonton Oil Kings | WHL | 8 | 1 | 0 | 1 | 0.125 | 0.0608 | 0.0557 | 0.3067 | 0.2811 |
| 2024-25 | Acadia Univ. | USports-M | 13 | 4 | 6 | 10 | 0.769 | 0.4058 | 0.4440 | 2.2545 | 2.4669 |
| 2025-26 | Acadia Univ. | USports-M | 27 | 14 | 14 | 28 | 1.037 | 0.5471 | 0.5690 | 3.0394 | 3.1611 |
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.