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 | New Hampton | NE-Prep-Girls | 31 | 12 | 2 | 14 | 0.450 | 0.2070 | 0.2070 | — | — |
| 2012-13 | New Hampton | NE-Prep-Girls | 30 | 0 | 2 | 2 | 0.070 | 0.0322 | 0.0322 | — | — |
| 2013-14 | New Hampton School | USHS-W | 34 | 24 | 21 | 45 | 1.323 | 0.3853 | 0.3701 | — | — |
| 2014-15 | New Hampton School | USHS-W | 24 | 12 | 15 | 27 | 1.125 | 0.3275 | 0.2989 | — | — |
| 2019-20 | Metropolitan Riveters | PHF | 24 | 1 | 12 | 13 | 0.542 | — | — | — | — |
| 2020-21 | Metropolitan Riveters | PHF | 3 | 1 | 0 | 1 | 0.333 | — | — | — | — |
| 2021-22 | Metropolitan Riveters | PHF | 20 | 2 | 2 | 4 | 0.200 | — | — | — | — |
| 2022-23 | Linköping HC | SDHL | 31 | 3 | 4 | 7 | 0.226 | 0.2608 | 0.2328 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | RIT | D1 | CHA-W | — | 35 | 5 | 10 | 15 | 0.429 |
| 2017-18 | RIT | D1 | CHA-W | JR | 35 | 4 | 10 | 14 | 0.400 |
| 2016-17 | RIT | D1 | CHA-W | SO | 32 | 1 | 3 | 4 | 0.125 |
| 2015-16 | RIT | D1 | CHA-W | FR | 32 | 2 | 2 | 4 | 0.125 |
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.