icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Connecticut Polar Bears 19U | 19U-AAA-W | 43 | 13 | 10 | 23 | 0.535 | 0.1821 | 0.1821 | — | — |
| 2017-18 | Hotchkiss | NE-Prep-Girls | 20 | 1 | 0 | 1 | 0.050 | 0.0310 | 0.0310 | — | — |
| 2018-19 | Hotchkiss | NE-Prep-Girls | 21 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Colby | D3 | NESCAC | — | 26 | 3 | 6 | 9 | 0.346 |
| 2021-22 | Colby | D3 | NESCAC | — | 22 | 9 | 5 | 14 | 0.636 |
| 2020-21 | Colby | D3 | NESCAC | — | 2 | 1 | 0 | 1 | 0.500 |
| 2019-20 | Amherst | D3 | NESCAC | — | 26 | 11 | 11 | 22 | 0.846 |
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.