| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Fargo Force | USHL | 46 | 1 | 2 | 3 | 0.065 | 0.0385 | 0.0405 | 0.1958 | 0.2060 |
| 2017-18 | — | USHL | 54 | 13 | 6 | 19 | 0.352 | 0.2076 | 0.2081 | 1.0569 | 1.0593 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bowling Green | D1 | CCHA | GR | 32 | 2 | 2 | 4 | 0.125 |
| 2021-22 | Bowling Green | D1 | CCHA | SR | 15 | 3 | 2 | 5 | 0.333 |
| 2020-21 | Bowling Green | D1 | WCHA | JR | 31 | 8 | 3 | 11 | 0.355 |
| 2019-20 | Bowling Green | D1 | WCHA | SO | 33 | 4 | 2 | 6 | 0.182 |
| 2018-19 | Bowling Green | D1 | WCHA | FR | 12 | 0 | 0 | 0 | 0.000 |
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.