icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Mounds View High (women) | USHS-MN-W | 25 | 4 | 3 | 7 | 0.280 | 0.0450 | 0.0450 | — | — |
| 2012-13 | Mounds View High (women) | USHS-MN-W | 25 | 17 | 16 | 33 | 1.320 | 0.2120 | 0.2120 | — | — |
| 2013-14 | Mounds View High (women) | USHS-MN-W | 26 | 22 | 18 | 40 | 1.538 | 0.2471 | 0.2471 | — | — |
| 2014-15 | Mounds View High (women) | USHS-MN-W | 25 | 15 | 26 | 41 | 1.640 | 0.2634 | 0.2634 | — | — |
| 2015-16 | Mounds View High (women) | USHS-MN-W | 20 | 19 | 20 | 39 | 1.950 | 0.3132 | 0.3132 | — | — |
| 2021-22 | Linköping HC | SDHL | 36 | 29 | 27 | 56 | 1.556 | 1.7967 | 1.7967 | — | — |
| 2022-23 | Minnesota Whitecaps | PHF | 21 | 5 | 4 | 9 | 0.429 | — | — | — | — |
| 2023-24 | Minnesota Whitecaps | PHF | 21 | 5 | 4 | 9 | 0.429 | — | — | — | — |
| 2024-25 | Minnesota Whitecaps | PHF | 21 | 5 | 4 | 9 | 0.429 | — | — | — | — |
| 2025-26 | Minnesota Whitecaps | PHF | 21 | 5 | 4 | 9 | 0.429 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnesota Duluth | D1 | WCHA-W | — | 36 | 19 | 22 | 41 | 1.139 |
| 2018-19 | Minnesota Duluth | D1 | WCHA-W | — | 35 | 8 | 12 | 20 | 0.571 |
| 2017-18 | Minnesota Duluth | D1 | WCHA-W | SO | 35 | 5 | 11 | 16 | 0.457 |
| 2016-17 | Minnesota Duluth | D1 | WCHA-W | FR | 35 | 8 | 13 | 21 | 0.600 |
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.