| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Hampton | NE-Prep | 35 | 7 | 7 | 14 | 0.400 | 0.0792 | 0.0792 | 0.1822 | 0.1822 |
| 2023-24 | New Hampton | NE-Prep | 33 | 11 | 18 | 29 | 0.879 | 0.1741 | 0.1741 | 0.4004 | 0.4004 |
| 2024-25 | New Hampton | NE-Prep | 33 | 15 | 19 | 34 | 1.030 | 0.2041 | 0.2041 | 0.4694 | 0.4694 |
| 2025-26 | Rockland Nationals | CCHL | 43 | 8 | 18 | 26 | 0.605 | 0.1312 | 0.1302 | 0.4679 | 0.4642 |
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.