icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | CHA-W | SR | 26 | 3 | 3 | 6 | 0.231 |
| 2024-25 | LIU | D2 | CHA-W | JR | 24 | 2 | 3 | 5 | 0.208 |
| 2024-25 | Long Island Univ. | D1 | CHA-W | JR | 23 | 2 | 3 | 5 | 0.217 |
| 2023-24 | LIU | D2 | CHA-W | SO | 36 | 3 | 11 | 14 | 0.389 |
| 2023-24 | Long Island Univ. | D1 | CHA-W | SO | 36 | 3 | 11 | 14 | 0.389 |
| 2022-23 | LIU | D1 | CHA-W | FR | 25 | 0 | 5 | 5 | 0.200 |
| 2022-23 | Long Island Univ. | D1 | CHA-W | FR | 25 | 0 | 5 | 5 | 0.200 |
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.