| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | St. Sebastian’s | NE-Prep | 24 | 2 | 7 | 9 | 0.375 | 0.0756 | 0.0756 | 0.1716 | 0.1716 |
| 2023-24 | St. Sebastian’s | NE-Prep | 28 | 11 | 20 | 31 | 1.107 | 0.2232 | 0.2232 | 0.5067 | 0.5067 |
| 2024-25 | — | NTDP-U18 | 66 | 19 | 18 | 37 | 0.561 | 0.4459 | 0.4619 | 2.0996 | 2.1748 |
| 2025-26 | — | NTDP-U18 | 56 | 14 | 24 | 38 | 0.679 | 0.5398 | 0.5296 | 2.5415 | 2.4935 |
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.