| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Noble & Greenough | NE-Prep | 26 | 2 | 3 | 5 | 0.192 | 0.0387 | 0.0387 | 0.0879 | 0.0879 |
| 2022-23 | Noble & Greenough | NE-Prep | 27 | 4 | 12 | 16 | 0.593 | 0.1192 | 0.1192 | 0.2710 | 0.2710 |
| 2023-24 | Noble & Greenough | NE-Prep | 26 | 15 | 23 | 38 | 1.462 | 0.2939 | 0.2939 | 0.6683 | 0.6683 |
| 2024-25 | Noble & Greenough | NE-Prep | 27 | 24 | 35 | 59 | 2.185 | 0.4394 | 0.4394 | 0.9993 | 0.9993 |
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.