icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cushing Academy | USHS-W | 23 | 1 | 4 | 5 | 0.217 | 0.0654 | 0.0654 | — | — |
| 2019-20 | Cushing Academy | USHS-W | 34 | 1 | 3 | 4 | 0.118 | 0.0354 | 0.0354 | — | — |
| 2021-22 | Cushing | NE-Prep-Girls | 27 | 0 | 5 | 5 | 0.190 | 0.1179 | 0.1179 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | — | SR | 24 | 2 | 3 | 5 | 0.208 |
| 2024-25 | Curry | D3 | — | — | 26 | 0 | 7 | 7 | 0.269 |
| 2023-24 | Curry | D3 | — | — | 28 | 1 | 12 | 13 | 0.464 |
| 2022-23 | Curry | D3 | — | — | 26 | 2 | 7 | 9 | 0.346 |
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.