| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin Windigo | NAHL | 3 | 0 | 1 | 1 | 0.333 | 0.1225 | 0.1311 | 0.3518 | 0.3766 |
| 2023-24 | — | NAHL | 33 | 2 | 5 | 7 | 0.212 | 0.0779 | 0.0797 | 0.2239 | 0.2290 |
| 2024-25 | Watertown Shamrocks | NAHL | 56 | 22 | 23 | 45 | 0.804 | 0.2952 | 0.2864 | 0.8482 | 0.8230 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | D3 | WIAC | FR | 24 | 5 | 9 | 14 | 0.583 |
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.