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 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2019-20 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2020-21 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2021-22 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2022-23 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2023-24 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| 2025-26 | KRS Shenzhen | CWHL | 28 | 7 | 14 | 21 | 0.750 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Clarkson | D1 | ECAC-W | SR | 41 | 28 | 34 | 62 | 1.512 |
| 2015-16 | Clarkson | D1 | ECAC-W | SR | 40 | 25 | 25 | 50 | 1.250 |
| 2014-15 | Clarkson | D1 | ECAC-W | JR | 38 | 24 | 20 | 44 | 1.158 |
| 2013-14 | Clarkson | D1 | ECAC-W | SO | 41 | 3 | 19 | 22 | 0.537 |
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.