| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Youngstown Phantoms | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Maryland Black Bears | NAHL | 9 | 2 | 3 | 5 | 0.556 | 0.2063 | 0.2063 | 0.5883 | 0.5883 |
| 2021-22 | Maryland Black Bears | NAHL | 44 | 5 | 10 | 15 | 0.341 | 0.1266 | 0.1345 | 0.3609 | 0.3834 |
| 2022-23 | Maryland Black Bears | NAHL | 40 | 6 | 19 | 25 | 0.625 | 0.2321 | 0.2351 | 0.6617 | 0.6704 |
| 2023-24 | Maryland Black Bears | NAHL | 59 | 19 | 26 | 45 | 0.763 | 0.2832 | 0.2734 | 0.8075 | 0.7795 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Oswego | D3 | SUNYAC | SO | 28 | 1 | 9 | 10 | 0.357 |
| 2024-25 | SUNY Oswego | D3 | SUNYAC | FR | 25 | 9 | 11 | 20 | 0.800 |
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.