| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | USHL-Style-Czech | 12 | 2 | 1 | 3 | 0.250 | 0.0772 | 0.0850 | 0.2669 | 0.2939 |
| 2024-25 | — | USHL-Style-Czech | 30 | 17 | 20 | 37 | 1.233 | 0.3808 | 0.4020 | 1.3165 | 1.3898 |
| 2025-26 | Green Bay Gamblers | USHL | 57 | 23 | 14 | 37 | 0.649 | 0.3829 | 0.3849 | 1.9478 | 1.9581 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | St. Thomas | D1 | CCHA | 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.