| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | RB Hockey Academy U18 | USHL-Style-Czech | 24 | 1 | 9 | 10 | 0.417 | 0.1311 | 0.1368 | 0.4586 | 0.4785 |
| 2022-23 | Green Bay Gamblers | USHL | 32 | 1 | 4 | 5 | 0.156 | 0.0960 | 0.0966 | 0.4602 | 0.4629 |
| 2023-24 | Bismarck Bobcats | NAHL | 53 | 8 | 27 | 35 | 0.660 | 0.2617 | 0.2621 | 0.6934 | 0.6946 |
| 2024-25 | Bismarck Bobcats | NAHL | 57 | 10 | 28 | 38 | 0.667 | 0.2641 | 0.2507 | 0.7000 | 0.6645 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | AHA | FR | 33 | 1 | 7 | 8 | 0.242 |
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.