| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Calgary Edge School U18 Prep | CSSHL-U18W | 26 | 5 | 9 | 14 | 0.538 | 0.1234 | 0.1234 | — | — |
| 2022-23 | Calgary Edge School U18 Prep | CSSHL-U18W | 29 | 13 | 10 | 23 | 0.793 | 0.1817 | 0.1817 | — | — |
| 2023-24 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 29 | 10 | 41 | 51 | 1.759 | 0.4029 | 0.4029 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Quinnipiac | D1 | ECAC-W | — | 36 | 6 | 20 | 26 | 0.722 |
| 2024-25 | Quinnipiac | D1 | ECAC-W | — | 38 | 4 | 12 | 16 | 0.421 |
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.