icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Buffalo Beauts | PHF | 2 | 2 | 1 | 3 | 1.500 | — | — | — | — |
| 2020-21 | Toronto Six | PHF | 6 | 5 | 4 | 9 | 1.500 | — | — | — | — |
| 2021-22 | Toronto Six | PHF | 19 | 13 | 17 | 30 | 1.579 | — | — | — | — |
| 2022-23 | Buffalo Beauts | PHF | 24 | 9 | 12 | 21 | 0.875 | — | — | — | — |
| 2023-24 | Buffalo Beauts | PHF | 24 | 9 | 12 | 21 | 0.875 | — | — | — | — |
| 2024-25 | Montréal Victoire | PWHL | 30 | 3 | 5 | 8 | 0.267 | — | — | — | — |
| 2025-26 | Seattle Torrent | PWHL | 25 | 3 | 3 | 6 | 0.240 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Merrimack | D1 | — | — | 33 | 20 | 13 | 33 | 1.000 |
| 2018-19 | Merrimack | D1 | — | — | 35 | 12 | 22 | 34 | 0.971 |
| 2017-18 | Merrimack | D1 | — | — | 34 | 15 | 8 | 23 | 0.676 |
| 2016-17 | Merrimack | D1 | — | — | 35 | 9 | 18 | 27 | 0.771 |
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.