| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Boston Jr. Bruins | USPHL-Premier | 35 | 17 | 13 | 30 | 0.857 | 0.0967 | 0.0954 | 0.2916 | 0.2877 |
| 2024-25 | West Chester Wolves | NCDC | 51 | 13 | 9 | 22 | 0.431 | 0.0997 | 0.0946 | 0.3488 | 0.3309 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wilkes | D3 | MAC | — | 14 | 2 | 1 | 3 | 0.214 |
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.