| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Bismarck Bobcats | NAHL | 60 | 17 | 15 | 32 | 0.533 | 0.2113 | 0.2172 | 0.5599 | 0.5757 |
| 2022-23 | Bismarck Bobcats | NAHL | 51 | 25 | 25 | 50 | 0.980 | 0.3884 | 0.3802 | 1.0293 | 1.0077 |
| 2023-24 | Youngstown Phantoms | USHL | 61 | 24 | 24 | 48 | 0.787 | 0.4837 | 0.4284 | 2.3184 | 2.0534 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin | D1 | BigTen | SO | 31 | 7 | 5 | 12 | 0.387 |
| 2024-25 | Wisconsin | D1 | BigTen | — | 31 | 1 | 2 | 3 | 0.097 |
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.