| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northeast Generals | NA3HL | 18 | 9 | 9 | 18 | 1.000 | 0.1205 | 0.1218 | — | — |
| 2022-23 | Northeast Generals | NA3HL | 43 | 18 | 35 | 53 | 1.233 | 0.1485 | 0.1433 | — | — |
| 2023-24 | Boston Dukes | EHL | 42 | 19 | 25 | 44 | 1.048 | 0.2248 | 0.2125 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | SO | 24 | 1 | 2 | 3 | 0.125 |
| 2024-25 | Canton | D3 | SUNYAC | FR | 22 | 8 | 4 | 12 | 0.545 |
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.