| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Brunswick | NE-Prep | 27 | 0 | 2 | 2 | 0.074 | 0.0147 | 0.0147 | 0.0338 | 0.0338 |
| 2023-24 | Brunswick | NE-Prep | 33 | 1 | 2 | 3 | 0.091 | 0.0180 | 0.0180 | 0.0414 | 0.0414 |
| 2024-25 | — | NAHL | 34 | 1 | 5 | 6 | 0.176 | 0.0648 | 0.0649 | 0.1863 | 0.1865 |
| 2025-26 | Cornwall Colts | CCHL | 19 | 1 | 16 | 17 | 0.895 | 0.1941 | 0.1801 | 0.6922 | 0.6424 |
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.