| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Hawkesbury Hawks | CCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Carleton Place Canadians | CCHL | 34 | 12 | 3 | 15 | 0.441 | 0.1409 | 0.1423 | 0.3415 | 0.3448 |
| 2023-24 | Carleton Place Canadians | CCHL | 55 | 9 | 13 | 22 | 0.400 | 0.1277 | 0.1221 | 0.3096 | 0.2961 |
| 2024-25 | — | CCHL | 52 | 13 | 13 | 26 | 0.500 | 0.1596 | 0.1454 | 0.3871 | 0.3527 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nazareth | D3 | UCHC | FR | 24 | 5 | 4 | 9 | 0.375 |
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.