| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Grand Rapids | USHS-MN | 21 | 6 | 13 | 19 | 0.905 | 0.2436 | 0.2436 | 0.2198 | 0.2198 |
| 2020-21 | Grand Rapids | USHS-MN | 18 | 8 | 17 | 25 | 1.389 | 0.3739 | 0.3739 | 0.3374 | 0.3374 |
| 2021-22 | Grand Rapids | USHS-MN | 28 | 25 | 43 | 68 | 2.429 | 0.6538 | 0.6538 | 2.0998 | 2.2494 |
| 2022-23 | Oklahoma Warriors | NAHL | 60 | 22 | 47 | 69 | 1.150 | 0.4556 | 0.4657 | 1.2074 | 1.2341 |
| 2023-24 | Chicago Steel | USHL | 60 | 21 | 20 | 41 | 0.683 | 0.4200 | 0.3901 | 2.0131 | 1.8699 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augustana | D1 | CCHA | SO | 37 | 7 | 11 | 18 | 0.486 |
| 2024-25 | Augustana | D1 | CCHA | — | 35 | 7 | 8 | 15 | 0.429 |
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.