| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Lawrence Academy | NE-Prep | 29 | 1 | 5 | 6 | 0.207 | 0.0399 | 0.0399 | 0.0947 | 0.0947 |
| 2019-20 | Lawrence Academy | NE-Prep | 27 | 0 | 2 | 2 | 0.074 | 0.0143 | 0.0143 | 0.0339 | 0.0339 |
| 2020-21 | Maine Nordiques | NAHL | 51 | 0 | 7 | 7 | 0.137 | 0.0488 | 0.0488 | 0.1442 | 0.1442 |
| 2021-22 | Maine Nordiques | NAHL | 58 | 5 | 15 | 20 | 0.345 | 0.1225 | 0.1160 | 0.3620 | 0.3428 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | SR | 16 | 0 | 5 | 5 | 0.312 |
| 2024-25 | Curry | D3 | CNE | JR | 27 | 3 | 7 | 10 | 0.370 |
| 2023-24 | Curry | D3 | CNE | SO | 27 | 5 | 15 | 20 | 0.741 |
| 2022-23 | Curry | D3 | CNE | FR | 29 | 5 | 15 | 20 | 0.690 |
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.