| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Jersey Rockets | NCDC | 42 | 5 | 8 | 13 | 0.309 | 0.0715 | 0.0750 | 0.2503 | 0.2625 |
| 2023-24 | New Jersey Rockets | NCDC | 11 | 0 | 6 | 6 | 0.545 | 0.1261 | 0.1251 | 0.4411 | 0.4376 |
| 2024-25 | Utica Jr. Comets | NCDC | 53 | 13 | 24 | 37 | 0.698 | 0.1613 | 0.1528 | 0.5645 | 0.5349 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | FR | 26 | 8 | 5 | 13 | 0.500 |
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.