| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | HC Energie Karlovy Vary U20 | USHL-Style-Czech | 17 | 1 | 5 | 6 | 0.353 | 0.1090 | 0.1175 | 0.3769 | 0.4061 |
| 2022-23 | HC Energie Karlovy Vary U20 | USHL-Style-Czech | 16 | 10 | 8 | 18 | 1.125 | 0.3474 | 0.3571 | 1.2015 | 1.2349 |
| 2023-24 | Vernon Vipers | BCHL | 54 | 20 | 19 | 39 | 0.722 | 0.2783 | 0.2829 | 1.0510 | 1.0683 |
| 2024-25 | HC Vitkovice U20 | USHL-Style-Czech | 13 | 4 | 8 | 12 | 0.923 | 0.2851 | 0.2684 | 0.9859 | 0.9282 |
| 2025-26 | Cranbrook Bucks | BCHL | 53 | 22 | 27 | 49 | 0.924 | 0.3562 | 0.3311 | 1.3454 | 1.2504 |
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.