| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Brooks School | NE-Prep | 22 | 2 | 7 | 9 | 0.409 | 0.0789 | 0.0789 | 0.1872 | 0.1872 |
| 2021-22 | New Hampshire Jr. Monarchs | NCDC | 48 | 2 | 8 | 10 | 0.208 | 0.0481 | 0.0475 | 0.1684 | 0.1664 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Middlebury | D3 | NESCAC | SR | 19 | 0 | 3 | 3 | 0.158 |
| 2024-25 | Middlebury | D3 | NESCAC | JR | 15 | 0 | 2 | 2 | 0.133 |
| 2023-24 | Middlebury | D3 | NESCAC | SO | 13 | 1 | 2 | 3 | 0.231 |
| 2022-23 | Middlebury | D3 | NESCAC | FR | 10 | 0 | 1 | 1 | 0.100 |
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.