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 | — | USPHL-Premier | 16 | 3 | 4 | 7 | 0.438 | 0.0572 | 0.0595 | 0.1485 | 0.1544 |
| 2023-24 | Metro Jets | USPHL-Elite | 35 | 7 | 19 | 26 | 0.743 | 0.0686 | 0.0648 | 0.1701 | 0.1606 |
| 2024-25 | MJDP | USPHL-Premier | 36 | 2 | 8 | 10 | 0.278 | 0.0363 | 0.0339 | 0.0943 | 0.0880 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
| 2024-25 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
| 2023-24 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
| 2022-23 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
| 2021-22 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
| 2020-21 | Saginaw Valley State University | ACHA_D1 | — | — | 1 | 1 | 0 | 1 | 1.000 |
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.