| 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 | 10 | 1 | 2 | 3 | 0.300 | 0.1066 | 0.1066 | — | — |
| 2021-22 | Youngstown Phantoms | USHL | 29 | 1 | 1 | 2 | 0.069 | 0.0407 | 0.0402 | 0.2033 | 0.2009 |
| 2022-23 | — | NAHL | 52 | 3 | 22 | 25 | 0.481 | 0.1708 | 0.1674 | 0.5048 | 0.4947 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Connecticut College | D3 | NESCAC | SR | 20 | 2 | 13 | 15 | 0.750 |
| 2024-25 | Connecticut College | D3 | NESCAC | JR | 24 | 4 | 6 | 10 | 0.417 |
| 2023-24 | Connecticut College | D3 | NESCAC | SO | 25 | 7 | 14 | 21 | 0.840 |
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.