| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Carleton Place Canadians | CCHL | 13 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Carleton Place Canadians | CCHL | 55 | 14 | 24 | 38 | 0.691 | 0.1499 | 0.1697 | 0.5345 | 0.6051 |
| 2023-24 | Carleton Place Canadians | CCHL | 55 | 24 | 35 | 59 | 1.073 | 0.2327 | 0.2510 | 0.8299 | 0.8953 |
| 2024-25 | Penticton Vees | BCHL | 44 | 13 | 29 | 42 | 0.955 | 0.3678 | 0.3802 | 1.3891 | 1.4359 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | D1 | ECAC | FR | 34 | 11 | 19 | 30 | 0.882 |
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.