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 | Notre Dame Academy (Wis.) | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Notre Dame Academy (Wis.) | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Wisconsin Windigo | NAHL | 49 | 2 | 9 | 11 | 0.225 | 0.0825 | 0.0891 | 0.2373 | 0.2564 |
| 2025-26 | Chicago Steel | USHL | 44 | 4 | 12 | 16 | 0.364 | 0.2145 | 0.2120 | 1.0911 | 1.0782 |
| 2026-27 | Sarnia Sting | OHL | 6 | 1 | 0 | 1 | 0.167 | 0.0964 | 0.0964 | 0.4365 | 0.4365 |
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.