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 | Lancaster/Iroquois/Depew | USHS-W | 20 | 1 | 0 | 1 | 0.050 | 0.0150 | 0.0150 | — | — |
| 2022-23 | Newark Ironbound 19U AAA | 19U-AAA-W | 71 | 9 | 18 | 27 | 0.380 | 0.1295 | 0.1295 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Suffolk | D3 | — | SO | 26 | 7 | 5 | 12 | 0.462 |
| 2024-25 | Suffolk | D3 | NEHC | — | 22 | 6 | 6 | 12 | 0.545 |
| 2023-24 | Suffolk | D3 | NEHC | — | 25 | 1 | 1 | 2 | 0.080 |
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.