icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | HC Energie Karlovy Vary U20 | USHL-Style-Czech | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | HC Energie Karlovy Vary U20 | USHL-Style-Czech | 15 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Fresno Monsters | USPHL-Premier | 45 | 14 | 43 | 57 | 1.267 | 0.1657 | 0.1637 | — | — |
| 2023-24 | Fresno Monsters | USPHL-Premier | 44 | 27 | 57 | 84 | 1.909 | 0.2497 | 0.2346 | 0.6479 | 0.6086 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Westfield State | D3 | MASCAC | SO | 27 | 1 | 6 | 7 | 0.259 |
| 2024-25 | Westfield State | D3 | MASCAC | — | 23 | 0 | 2 | 2 | 0.087 |
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.