| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Janesville Jets | NAHL | 1 | 1 | 1 | 2 | 2.000 | 0.7348 | 0.7348 | 2.1110 | 2.1110 |
| 2021-22 | Madison Capitols | USHL | 40 | 0 | 2 | 2 | 0.050 | 0.0295 | 0.0308 | 0.1502 | 0.1566 |
| 2022-23 | Bismarck Bobcats | NAHL | 42 | 1 | 5 | 6 | 0.143 | 0.0525 | 0.0543 | 0.1508 | 0.1560 |
| 2023-24 | Oklahoma Warriors | NAHL | 56 | 6 | 6 | 12 | 0.214 | 0.0787 | 0.0777 | 0.2262 | 0.2232 |
| 2024-25 | — | NAHL | 53 | 8 | 11 | 19 | 0.358 | 0.1317 | 0.1231 | 0.3784 | 0.3536 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Norbert | D3 | NCHA | FR | 21 | 0 | 8 | 8 | 0.381 |
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.