| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Philadelphia Little Flyers | EHL | 2 | 0 | 3 | 3 | 1.500 | 0.3219 | 0.3219 | 0.7346 | 0.7346 |
| 2021-22 | Boston Jr. Bruins | NCDC | 46 | 7 | 12 | 19 | 0.413 | 0.1164 | 0.1138 | 0.3344 | 0.3269 |
| 2022-23 | Boston Jr. Bruins | NCDC | 50 | 13 | 19 | 32 | 0.640 | 0.1804 | 0.1688 | 0.5181 | 0.4848 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Plattsburgh | D3 | SUNYAC | JR | 26 | 9 | 6 | 15 | 0.577 |
| 2024-25 | SUNY Plattsburgh | D3 | SUNYAC | SO | 17 | 7 | 5 | 12 | 0.706 |
| 2023-24 | SUNY Plattsburgh | D3 | SUNYAC | FR | 27 | 6 | 6 | 12 | 0.444 |
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.