icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Winchendon | NE-Prep-Girls | 28 | 1 | 1 | 2 | 0.070 | 0.0434 | 0.0434 | — | — |
| 2018-19 | Winchendon | NE-Prep-Girls | 29 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Dawson College Blues | QCHL-W | 26 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Dawson College Blues | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Dawson College Blues | QCHL-W | 21 | 1 | 0 | 1 | 0.048 | 0.0129 | 0.0129 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Aurora | D3 | NCHA | — | 22 | 0 | 2 | 2 | 0.091 |
| 2024-25 | Aurora | D3 | NCHA | — | 27 | 2 | 6 | 8 | 0.296 |
| 2023-24 | SUNY Cortland | D3 | — | — | 7 | 1 | 0 | 1 | 0.143 |
| 2022-23 | SUNY Cortland | D3 | — | — | 7 | 0 | 0 | 0 | 0.000 |
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.