| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Buffalo Beauts | PHF | 14 | 1 | 4 | 5 | 0.357 | — | — | — | — |
| 2016-17 | Toronto Furies | CWHL | 19 | 0 | 2 | 2 | 0.105 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | RIT | D1 | CHA-W | SR | 36 | 8 | 17 | 25 | 0.694 |
| 2012-13 | RIT | D1 | CHA-W | JR | 33 | 4 | 13 | 17 | 0.515 |
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.