icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Anoka High (women) | USHS-MN-W | 25 | 1 | 3 | 4 | 0.160 | 0.0242 | 0.0242 | — | — |
| 2014-15 | Anoka High (women) | USHS-MN-W | 26 | 1 | 4 | 5 | 0.192 | 0.0290 | 0.0290 | — | — |
| 2015-16 | Anoka High (women) | USHS-MN-W | 24 | 5 | 4 | 9 | 0.375 | 0.0566 | 0.0566 | — | — |
| 2016-17 | Anoka High (women) | USHS-MN-W | 25 | 1 | 6 | 7 | 0.280 | 0.0423 | 0.0423 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Trine | D3 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Trine | D3 | — | — | 22 | 2 | 5 | 7 | 0.318 |
| 2018-19 | Trine | D3 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2017-18 | Trine | D3 | — | — | 22 | 5 | 4 | 9 | 0.409 |
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.