| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Chicago Cougars | USPHL-Premier | 36 | 8 | 21 | 29 | 0.806 | 0.1054 | 0.1054 | 0.2734 | 0.2734 |
| 2021-22 | Chicago Cougars | USPHL-Premier | 39 | 15 | 14 | 29 | 0.744 | 0.0973 | 0.1009 | 0.2524 | 0.2616 |
| 2022-23 | Chicago Cougars | USPHL-Premier | 41 | 21 | 29 | 50 | 1.220 | 0.1595 | 0.1575 | 0.4139 | 0.4087 |
| 2023-24 | — | USPHL-Premier | 39 | 19 | 24 | 43 | 1.103 | 0.1442 | 0.1354 | 0.3742 | 0.3514 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Post | D2 | NE10 | — | 8 | 1 | 0 | 1 | 0.125 |
| 2024-25 | Arcadia | D3 | MAC | — | 12 | 1 | 1 | 2 | 0.167 |
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.