| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Trinity-Pawling | NE-Prep | 23 | 0 | 7 | 7 | 0.304 | 0.0603 | 0.0603 | 0.1386 | 0.1386 |
| 2022-23 | Trinity-Pawling | NE-Prep | 22 | 0 | 4 | 4 | 0.182 | 0.0360 | 0.0360 | 0.0828 | 0.0828 |
| 2024-25 | — | CCHL | 18 | 2 | 2 | 4 | 0.222 | 0.0482 | 0.0469 | 0.1719 | 0.1673 |
| 2025-26 | Boston Jr. Rangers | NCDC | 49 | 20 | 25 | 45 | 0.918 | 0.3744 | 0.3516 | 0.7382 | 0.6933 |
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.