| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Bismarck Bobcats | NAHL | 54 | 13 | 21 | 34 | 0.630 | 0.2313 | 0.2418 | 0.6654 | 0.6955 |
| 2017-18 | Lincoln Stars | USHL | 59 | 17 | 12 | 29 | 0.491 | 0.2899 | 0.2797 | 1.4748 | 1.4227 |
| 2018-19 | Lincoln Stars | USHL | 50 | 13 | 10 | 23 | 0.460 | 0.2714 | 0.2478 | 1.3803 | 1.2603 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Michigan Tech | D1 | CCHA | SR | 37 | 10 | 7 | 17 | 0.460 |
| 2021-22 | Michigan Tech | D1 | CCHA | JR | 37 | 11 | 5 | 16 | 0.432 |
| 2020-21 | Michigan Tech | D1 | WCHA | SO | 20 | 7 | 5 | 12 | 0.600 |
| 2019-20 | RPI | D1 | ECAC | FR | 34 | 9 | 4 | 13 | 0.382 |
| 2019-20 | Rensselaer | D1 | — | FR | 34 | 9 | 4 | 13 | 0.382 |
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.