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 | Hudson (Wis.) | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Hudson (Wis.) | USHS-MN | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Wisconsin Windigo | NAHL | 5 | 0 | 1 | 1 | 0.200 | 0.0710 | 0.0739 | 0.2100 | 0.2186 |
| 2024-25 | Wisconsin Windigo | NAHL | 5 | 1 | 0 | 1 | 0.200 | 0.0710 | 0.0702 | 0.2100 | 0.2076 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | D3 | WIAC | FR | 9 | 1 | 3 | 4 | 0.444 |
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.