| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 3 | 0 | 2 | 2 | 0.667 | 0.3933 | 0.4286 | 2.0024 | 2.1820 |
| 2015-16 | — | USHL | 48 | 10 | 9 | 19 | 0.396 | 0.2335 | 0.2436 | 1.1887 | 1.2401 |
| 2016-17 | — | USHL | 55 | 18 | 23 | 41 | 0.746 | 0.4398 | 0.4364 | 2.2390 | 2.2216 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Michigan | D1 | BigTen | — | 38 | 26 | 13 | 39 | 1.026 |
| 2021-22 | Western Michigan | D1 | NCHC | — | 38 | 26 | 13 | 39 | 1.026 |
| 2020-21 | Western Michigan | D1 | NCHC | SR | 24 | 13 | 8 | 21 | 0.875 |
| 2019-20 | Western Michigan | D1 | NCHC | JR | 32 | 9 | 11 | 20 | 0.625 |
| 2018-19 | Western Michigan | D1 | NCHC | SO | 34 | 15 | 11 | 26 | 0.765 |
| 2017-18 | Western Michigan | D1 | NCHC | FR | 30 | 7 | 5 | 12 | 0.400 |
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.