| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | EHL | 26 | 12 | 9 | 21 | 0.808 | 0.1733 | 0.1722 | 0.3955 | 0.3929 |
| 2019-20 | Boston Jr. Rangers | EHL | 44 | 16 | 40 | 56 | 1.273 | 0.2731 | 0.2731 | 0.6232 | 0.6232 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Fredonia | D3 | SUNYAC | JR | 15 | 1 | 2 | 3 | 0.200 |
| 2022-23 | Fredonia | D3 | SUNYAC | SO | 18 | 6 | 2 | 8 | 0.444 |
| 2021-22 | Fredonia | D3 | SUNYAC | FR | 20 | 2 | 9 | 11 | 0.550 |
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.