icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Gentry Academy | USHS-MN | 27 | 1 | 3 | 4 | 0.148 | 0.0187 | 0.0187 | 0.0360 | 0.0360 |
| 2022-23 | Gentry Academy | USHS-MN | 28 | 7 | 21 | 28 | 1.000 | 0.1266 | 0.1266 | 0.2429 | 0.2429 |
| 2023-24 | Battle Creek Kernels | USPHL-Premier | 39 | 2 | 7 | 9 | 0.231 | 0.0302 | 0.0300 | 0.0783 | 0.0777 |
| 2024-25 | — | USPHL-Premier | 36 | 4 | 4 | 8 | 0.222 | 0.0291 | 0.0272 | 0.0754 | 0.0704 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2024-25 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2023-24 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2022-23 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2021-22 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
| 2020-21 | University of Kentucky | ACHA_D1 | — | — | 25 | 4 | 8 | 12 | 0.480 |
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.