icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Jersey Rockets | USPHL-Premier | 40 | 3 | 7 | 10 | 0.250 | 0.0327 | 0.0334 | 0.0848 | 0.0865 |
| 2023-24 | New Jersey Bears | EHL | 43 | 7 | 13 | 20 | 0.465 | 0.1074 | 0.1072 | 0.2276 | 0.2273 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
| 2024-25 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
| 2023-24 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
| 2022-23 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
| 2021-22 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
| 2020-21 | New York University | ACHA_D1 | — | — | 25 | 5 | 15 | 20 | 0.800 |
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.