| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Islanders Hockey Club | NCDC | 32 | 4 | 10 | 14 | 0.438 | 0.1011 | 0.1008 | 0.3538 | 0.3529 |
| 2023-24 | Islanders Hockey Club | NCDC | 50 | 17 | 32 | 49 | 0.980 | 0.2265 | 0.2131 | 0.7924 | 0.7454 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Albertus Magnus | D3 | UCHC | — | 26 | 8 | 14 | 22 | 0.846 |
| 2024-25 | Albertus Magnus | D3 | UCHC | — | 16 | 5 | 1 | 6 | 0.375 |
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.