icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Canterbury | NE-Prep-Girls | 20 | 5 | 8 | 13 | 0.650 | 0.4033 | 0.4033 | — | — |
| 2015-16 | Canterbury | NE-Prep-Girls | 27 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Connecticut Polar Bears 19U | 19U-AAA-W | 40 | 6 | 7 | 13 | 0.325 | 0.1107 | 0.1107 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Oswego | D3 | — | — | 26 | 6 | 14 | 20 | 0.769 |
| 2021-22 | SUNY Oswego | D3 | — | — | 25 | 6 | 15 | 21 | 0.840 |
| 2019-20 | Elmira | D3 | — | — | 24 | 3 | 12 | 15 | 0.625 |
| 2018-19 | Elmira | D3 | — | — | 28 | 12 | 13 | 25 | 0.893 |
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.