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 | Andover | USHS-MN | 21 | 9 | 7 | 16 | 0.762 | 0.0965 | 0.0965 | 0.1851 | 0.1851 |
| 2021-22 | Andover | USHS-MN | 19 | 12 | 16 | 28 | 1.474 | 0.1866 | 0.1866 | 0.3580 | 0.3580 |
| 2022-23 | Green Bay Gamblers | USHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Omaha Lancers | USHL | 12 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | — | NAHL | 48 | 20 | 31 | 51 | 1.062 | 0.3904 | 0.3899 | 1.1215 | 1.1200 |
| 2025-26 | Dubuque Fighting Saints | USHL | 32 | 6 | 15 | 21 | 0.656 | 0.3871 | 0.3508 | 1.9708 | 1.7861 |
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.