| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Georges | NE-Prep | 22 | 1 | 0 | 1 | 0.045 | 0.0090 | 0.0090 | 0.0207 | 0.0207 |
| 2021-22 | St. Georges | NE-Prep | 25 | 4 | 8 | 12 | 0.480 | 0.0951 | 0.0951 | 0.2187 | 0.2187 |
| 2022-23 | St. Georges | NE-Prep | 26 | 11 | 18 | 29 | 1.115 | 0.2210 | 0.2210 | 0.5082 | 0.5082 |
| 2023-24 | Calgary Canucks | AJHL | 23 | 2 | 4 | 6 | 0.261 | 0.0875 | 0.0887 | 0.2414 | 0.2446 |
| 2024-25 | — | AJHL | 29 | 5 | 10 | 15 | 0.517 | 0.1735 | 0.1666 | 0.4786 | 0.4595 |
| 2025-26 | — | BCHL | 42 | 10 | 6 | 16 | 0.381 | 0.1468 | 0.1363 | 0.5545 | 0.5147 |
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.