| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Toledo Cherokee | USPHL-Premier | 27 | 10 | 17 | 27 | 1.000 | 0.1308 | 0.1449 | 0.3394 | 0.3760 |
| 2019-20 | Toledo Cherokee | USPHL-Premier | 44 | 25 | 26 | 51 | 1.159 | 0.1516 | 0.1516 | 0.3934 | 0.3934 |
| 2020-21 | Toledo Cherokee | USPHL-Premier | 39 | 26 | 34 | 60 | 1.538 | 0.2012 | 0.2012 | 0.5222 | 0.5222 |
| 2021-22 | Toledo Cherokee | USPHL-Premier | 43 | 40 | 43 | 83 | 1.930 | 0.2525 | 0.2426 | 0.6551 | 0.6295 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
| 2024-25 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
| 2023-24 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
| 2022-23 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
| 2021-22 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
| 2020-21 | University of Michigan-Dearborn | ACHA_D1 | — | — | 31 | 13 | 17 | 30 | 0.968 |
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.