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 | Potomac Patriots | USPHL-Elite | 22 | 2 | 3 | 5 | 0.227 | 0.0210 | 0.0204 | 0.0521 | 0.0507 |
| 2023-24 | Carolina Jr. Hurricanes | USPHL-Elite | 29 | 3 | 1 | 4 | 0.138 | 0.0127 | 0.0117 | 0.0316 | 0.0292 |
| 2024-25 | Carolina Jr. Hurricanes | USPHL-Elite | 42 | 7 | 5 | 12 | 0.286 | 0.0264 | 0.0231 | 0.0654 | 0.0571 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 0.111 |
| 2024-25 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 0.111 |
| 2023-24 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 0.111 |
| 2022-23 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 0.111 |
| 2021-22 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 0.111 |
| 2020-21 | West Virginia University | ACHA_D1 | — | — | 9 | 0 | 1 | 1 | 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.