| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Winchendon | NE-Prep | 26 | 1 | 4 | 5 | 0.192 | 0.0371 | 0.0371 | 0.0880 | 0.0880 |
| 2021-22 | Bonnyville Pontiacs | AJHL | 48 | 1 | 6 | 7 | 0.146 | 0.0489 | 0.0470 | 0.1351 | 0.1297 |
| 2022-23 | — | NAHL | 55 | 1 | 8 | 9 | 0.164 | 0.0581 | 0.0542 | 0.1718 | 0.1603 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Connecticut College | D3 | NESCAC | GR | 25 | 1 | 1 | 2 | 0.080 |
| 2024-25 | Connecticut College | D3 | NESCAC | SR | 24 | 1 | 0 | 1 | 0.042 |
| 2023-24 | Connecticut College | D3 | NESCAC | JR | 21 | 1 | 0 | 1 | 0.048 |
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.