icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | HC Slavia Praha U20 | USHL-Style-Czech | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Mora IK U20 | SHL-J20 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Mora IK U20 | SuperElit | 47 | 13 | 12 | 25 | 0.532 | 0.2084 | 0.2126 | 0.6533 | 0.6663 |
| 2024-25 | Mora IK U20 | SuperElit | 35 | 8 | 9 | 17 | 0.486 | 0.1903 | 0.1845 | 0.5966 | 0.5784 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | AHA | — | 39 | 4 | 9 | 13 | 0.333 |
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.