| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Green Bay Gamblers | USHL | 7 | 0 | 2 | 2 | 0.286 | 0.1756 | 0.1756 | 0.8417 | 0.8417 |
| 2020-21 | Green Bay Gamblers | USHL | 40 | 0 | 2 | 2 | 0.050 | 0.0307 | 0.0307 | 0.1473 | 0.1473 |
| 2021-22 | Green Bay Gamblers | USHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Johnstown Tomahawks | NAHL | 53 | 6 | 27 | 33 | 0.623 | 0.2467 | 0.2442 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Mercyhurst | D1 | AHA | JR | 34 | 2 | 6 | 8 | 0.235 |
| 2024-25 | Mercyhurst | D1 | AHA | JR | 27 | 5 | 3 | 8 | 0.296 |
| 2023-24 | Mercyhurst | D1 | AHA | SO | 21 | 0 | 2 | 2 | 0.095 |
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.