| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Omaha Lancers | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Omaha Lancers | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1229 | 0.1333 | 0.5892 | 0.6389 |
| 2019-20 | Austin Bruins | NAHL | 44 | 8 | 11 | 19 | 0.432 | 0.1711 | 0.1711 | 0.4533 | 0.4533 |
| 2020-21 | Austin Bruins | NAHL | 56 | 22 | 17 | 39 | 0.696 | 0.2759 | 0.2759 | 0.7312 | 0.7312 |
| 2021-22 | Madison Capitols | USHL | 61 | 7 | 9 | 16 | 0.262 | 0.1612 | 0.1505 | 0.7728 | 0.7217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Mercyhurst | D1 | AHA | SR | 34 | 3 | 1 | 4 | 0.118 |
| 2024-25 | Mercyhurst | D1 | AHA | — | 26 | 2 | 6 | 8 | 0.308 |
| 2023-24 | Mercyhurst | D1 | AHA | — | 27 | 4 | 6 | 10 | 0.370 |
| 2022-23 | Western Michigan | D1 | NCHC | — | 0 | 0 | 0 | 0 | 0.000 |
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.