| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hawkesbury Hawks | CCHL | 49 | 29 | 39 | 68 | 1.388 | 0.3010 | 0.2932 | 1.0737 | 1.0457 |
| 2022-23 | West Kelowna Warriors | BCHL | 54 | 22 | 29 | 51 | 0.944 | 0.3639 | 0.3373 | 1.3744 | 1.2738 |
| 2025-26 | Univ. of Toronto | USports-M | 28 | 10 | 11 | 21 | 0.750 | 0.3957 | 0.3863 | 2.1982 | 2.1460 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Sacred Heart | D1 | AHA | — | 14 | 1 | 1 | 2 | 0.143 |
| 2023-24 | Sacred Heart | D1 | AHA | — | 25 | 0 | 2 | 2 | 0.080 |
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.