| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Janesville Jets | NAHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | NAHL | 48 | 8 | 4 | 12 | 0.250 | 0.0990 | 0.1040 | 0.2625 | 0.2759 |
| 2023-24 | El Paso Rhinos | NAHL | 46 | 6 | 4 | 10 | 0.217 | 0.0861 | 0.0864 | 0.2282 | 0.2289 |
| 2024-25 | Watertown Shamrocks | NAHL | 55 | 11 | 14 | 25 | 0.455 | 0.1801 | 0.1712 | 0.4772 | 0.4536 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Norbert | D3 | NCHA | FR | 30 | 7 | 10 | 17 | 0.567 |
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.