| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Green Bay Gamblers | USHL | 59 | 5 | 10 | 15 | 0.254 | 0.1500 | 0.1577 | 0.7635 | 0.8027 |
| 2017-18 | Green Bay Gamblers | USHL | 57 | 19 | 26 | 45 | 0.789 | 0.4657 | 0.4665 | 2.3712 | 2.3753 |
| 2023-24 | Shanghai Dragons | KHL | 55 | 4 | 7 | 11 | 0.200 | 0.5000 | 0.5450 | 2.7557 | 3.0036 |
| 2024-25 | Shanghai Dragons | KHL | 12 | 1 | 1 | 2 | 0.167 | 0.4167 | 0.4419 | 2.2969 | 2.4357 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Michigan | D1 | BigTen | GR | 40 | 3 | 4 | 7 | 0.175 |
| 2021-22 | Michigan | D1 | BigTen | SR | 36 | 7 | 8 | 15 | 0.417 |
| 2020-21 | Michigan | D1 | BigTen | JR | 25 | 4 | 3 | 7 | 0.280 |
| 2019-20 | Michigan | D1 | BigTen | SO | 33 | 3 | 4 | 7 | 0.212 |
| 2018-19 | Michigan | D1 | BigTen | FR | 30 | 7 | 3 | 10 | 0.333 |
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.