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 | Gentry Academy | USHS-MN | 19 | 10 | 11 | 21 | 1.105 | 0.1399 | 0.1399 | 0.2685 | 0.2685 |
| 2021-22 | Gentry Academy | USHS-MN | 27 | 30 | 16 | 46 | 1.704 | 0.2157 | 0.2157 | 0.4138 | 0.4138 |
| 2022-23 | St. Cloud Norsemen | NAHL | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | St. Cloud Norsemen | NAHL | 51 | 6 | 10 | 16 | 0.314 | 0.1153 | 0.1203 | 0.3311 | 0.3454 |
| 2024-25 | — | NAHL | 37 | 8 | 14 | 22 | 0.595 | 0.2185 | 0.2165 | 0.6276 | 0.6218 |
| 2025-26 | — | NAHL | 55 | 10 | 16 | 26 | 0.473 | 0.1737 | 0.1636 | 0.4989 | 0.4698 |
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.