| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Odessa Jackalopes | NAHL | 60 | 6 | 14 | 20 | 0.333 | 0.1321 | 0.1381 | 0.3499 | 0.3657 |
| 2022-23 | Omaha Lancers | USHL | 56 | 5 | 12 | 17 | 0.304 | 0.1866 | 0.1777 | 0.8945 | 0.8520 |
| 2023-24 | Omaha Lancers | USHL | 60 | 6 | 18 | 24 | 0.400 | 0.2459 | 0.2220 | 1.1785 | 1.0640 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western Michigan | D1 | NCHC | SO | 11 | 0 | 5 | 5 | 0.455 |
| 2024-25 | Western Michigan | D1 | NCHC | — | 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.