| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | P.A.L. Junior Islanders | USPHL-Elite | 30 | 3 | 3 | 6 | 0.200 | 0.0240 | 0.0252 | 0.0459 | 0.0482 |
| 2017-18 | — | EHL | 46 | 12 | 26 | 38 | 0.826 | 0.1773 | 0.1707 | 0.4045 | 0.3894 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Plattsburgh | D3 | SUNYAC | SR | 26 | 4 | 10 | 14 | 0.538 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | SR | 26 | 1 | 11 | 12 | 0.462 |
| 2019-20 | SUNY Plattsburgh | D3 | — | SO | 27 | 5 | 9 | 14 | 0.518 |
| 2018-19 | SUNY Plattsburgh | D3 | — | FR | 27 | 3 | 12 | 15 | 0.556 |
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.