| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cushing Academy | USHS-W | 29 | 15 | 10 | 25 | 0.862 | 0.2510 | 0.2732 | — | — |
| 2019-20 | Cushing Academy | USHS-W | 34 | 26 | 25 | 51 | 1.500 | 0.4367 | 0.4367 | — | — |
| 2021-22 | Cushing | NE-Prep-Girls | 27 | 25 | 14 | 39 | 1.440 | 0.6625 | 0.6625 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northeastern | D1 | HEA-W | SR | 39 | 3 | 1 | 4 | 0.103 |
| 2024-25 | Northeastern | D1 | HEA-W | JR | 20 | 0 | 2 | 2 | 0.100 |
| 2023-24 | Northeastern | D1 | HEA-W | SO | 37 | 3 | 3 | 6 | 0.162 |
| 2022-23 | Northeastern | D1 | HEA-W | FR | 19 | 1 | 0 | 1 | 0.053 |
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.