| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Delta Hockey Academy U17 Prep | CSSHL-U18W | 28 | 7 | 10 | 17 | 0.607 | 0.1391 | 0.1391 | — | — |
| 2023-24 | Delta Hockey Acad. U18 Prep G | CSSHL-U18W | 22 | 0 | 16 | 16 | 0.727 | 0.1666 | 0.1666 | — | — |
| 2024-25 | North Shore Warriors U18 Prep | CSSHL-U18W | 29 | 9 | 18 | 27 | 0.931 | 0.2133 | 0.2133 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Post | D1 | CHA-W | FR | 35 | 2 | 3 | 5 | 0.143 |
| 2025-26 | Post | D3 | — | FR | 35 | 2 | 3 | 5 | 0.143 |
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.