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 | NAHA Red 16U | JWHL-U16 | 24 | 2 | 1 | 3 | 0.125 | 0.0272 | 0.0272 | — | — |
| 2021-22 | NAHA White 19U AAA | 19U-AAA-W | 66 | 3 | 7 | 10 | 0.151 | 0.0516 | 0.0516 | — | — |
| 2022-23 | NAHA White 19U AAA | 19U-AAA-W | 56 | 2 | 9 | 11 | 0.196 | 0.0669 | 0.0669 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Assumption | D1 | NEWHA | — | 13 | 0 | 1 | 1 | 0.077 |
| 2024-25 | Assumption | D1 | NEWHA | — | 29 | 0 | 5 | 5 | 0.172 |
| 2023-24 | Assumption | D1 | NEWHA | — | 36 | 0 | 4 | 4 | 0.111 |
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.