| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Oklahoma Warriors | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | — | NAHL | 50 | 6 | 15 | 21 | 0.420 | 0.1543 | 0.1623 | 0.4439 | 0.4670 |
| 2024-25 | Minnesota Wilderness | NAHL | 58 | 22 | 20 | 42 | 0.724 | 0.2660 | 0.2659 | 0.7653 | 0.7650 |
| 2025-26 | Minnesota Wilderness | NAHL | 57 | 39 | 27 | 66 | 1.158 | 0.4254 | 0.4043 | 1.2238 | 1.1631 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Canisius | D1 | AHA | FR | 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.