| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hotchkiss School | NE-Prep | 20 | 5 | 3 | 8 | 0.400 | 0.0792 | 0.0792 | 0.1822 | 0.1822 |
| 2022-23 | Hotchkiss School | NE-Prep | 21 | 7 | 8 | 15 | 0.714 | 0.1415 | 0.1415 | 0.3254 | 0.3254 |
| 2023-24 | Hotchkiss School | NE-Prep | 22 | 9 | 14 | 23 | 1.046 | 0.2071 | 0.2071 | 0.4763 | 0.4763 |
| 2024-25 | South Shore Kings | NCDC | 26 | 7 | 5 | 12 | 0.462 | 0.1882 | 0.1878 | 0.3710 | 0.3701 |
| 2025-26 | — | NCDC | 46 | 10 | 10 | 20 | 0.435 | 0.1773 | 0.1673 | 0.3495 | 0.3299 |
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.