| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Boston Shamrocks U16 | JWHL-U16 | 9 | 11 | 7 | 18 | 2.000 | 0.4356 | 0.4356 | — | — |
| 2017-18 | Boston Shamrocks | JWHL-U19 | 25 | 19 | 10 | 29 | 1.160 | 0.4355 | 0.4355 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Plattsburgh | D3 | SUNYAC | SR | 26 | 13 | 21 | 34 | 1.308 |
| 2023-24 | Plattsburgh State | D3 | — | — | 28 | 13 | 24 | 37 | 1.321 |
| 2023-24 | SUNY Plattsburgh | D3 | — | — | 28 | 13 | 24 | 37 | 1.321 |
| 2022-23 | Plattsburgh | D3 | — | SR | 29 | 15 | 16 | 31 | 1.069 |
| 2022-23 | Plattsburgh State | D3 | — | — | 29 | 15 | 16 | 31 | 1.069 |
| 2022-23 | SUNY Plattsburgh | D3 | — | — | 29 | 15 | 16 | 31 | 1.069 |
| 2021-22 | Norwich | D3 | — | — | 23 | 12 | 14 | 26 | 1.130 |
| 2020-21 | Norwich | D3 | — | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Norwich | D3 | — | — | 27 | 11 | 22 | 33 | 1.222 |
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.