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 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2019-20 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2020-21 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2021-22 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2022-23 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2023-24 | Calgary Inferno | CWHL | 27 | 11 | 15 | 26 | 0.963 | — | — | — | — |
| 2024-25 | Ottawa Charge | PWHL | 27 | 1 | 2 | 3 | 0.111 | — | — | — | — |
| 2025-26 | Ottawa Charge | PWHL | 30 | 14 | 9 | 23 | 0.767 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Boston University | D1 | HEA-W | SR | 33 | 24 | 33 | 57 | 1.727 |
| 2016-17 | Boston University | D1 | HEA-W | JR | 32 | 16 | 18 | 34 | 1.062 |
| 2015-16 | Boston University | D1 | HEA-W | SO | 39 | 15 | 34 | 49 | 1.256 |
| 2014-15 | Boston University | D1 | HEA-W | FR | 35 | 14 | 17 | 31 | 0.886 |
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.