| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Burlington Barracudas AA | OWHL-U22 | 30 | 2 | 6 | 8 | 0.267 | 0.0932 | 0.0932 | — | — |
| 2022-23 | Burlington Barracudas AA | OWHL-U22 | 40 | 15 | 17 | 32 | 0.800 | 0.2797 | 0.2797 | — | — |
| 2023-24 | Etobicoke Dolphins | OWHL-U22 | 39 | 4 | 19 | 23 | 0.590 | 0.2062 | 0.2062 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | D1 | HEA-W | SO | 34 | 1 | 6 | 7 | 0.206 |
| 2024-25 | Boston University | D1 | HEA-W | FR | 38 | 0 | 7 | 7 | 0.184 |
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.