| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Advantage | NCDC | 15 | 0 | 3 | 3 | 0.200 | 0.1115 | 0.1234 | 0.1617 | 0.1789 |
| 2022-23 | Victoria Grizzlies | BCHL | 47 | 1 | 12 | 13 | 0.277 | 0.1030 | 0.1071 | 0.4030 | 0.4190 |
| 2023-24 | Victoria Grizzlies | BCHL | 37 | 2 | 7 | 9 | 0.243 | 0.0906 | 0.0900 | 0.3544 | 0.3522 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | SO | 35 | 2 | 10 | 12 | 0.343 |
| 2024-25 | Dartmouth | D1 | ECAC | — | 21 | 0 | 0 | 0 | 0.000 |
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.