icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Chicago Crush | USPHL-Premier | 39 | 2 | 11 | 13 | 0.333 | 0.1099 | 0.1069 | 0.1134 | 0.1103 |
| 2024-25 | — | EHL | 24 | 0 | 3 | 3 | 0.125 | 0.0440 | 0.0417 | 0.0613 | 0.0581 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
| 2024-25 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
| 2023-24 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
| 2022-23 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
| 2021-22 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
| 2020-21 | Arizona State | ACHA_D1 | — | — | 10 | 1 | 0 | 1 | 0.100 |
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.