icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Philadelphia Jr Flyers 16U | JWHL-U16 | 16 | 1 | 3 | 4 | 0.250 | 0.0544 | 0.0544 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Connecticut College | D3 | — | — | 2 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Connecticut College | D3 | — | — | 15 | 0 | 3 | 3 | 0.200 |
| 2024-25 | UConn | D1 | HEA-W | — | 14 | 0 | 3 | 3 | 0.214 |
| 2023-24 | Connecticut College | D3 | — | — | 15 | 1 | 2 | 3 | 0.200 |
| 2022-23 | Connecticut College | D3 | — | — | 24 | 0 | 4 | 4 | 0.167 |
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.