| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Grand Rapids | USHS-MN | 28 | 23 | 25 | 48 | 1.714 | 0.4615 | 0.4615 | 0.4164 | 0.4164 |
| 2022-23 | Kenai River Brown Bears | NAHL | 59 | 27 | 26 | 53 | 0.898 | 0.3559 | 0.3636 | 0.9431 | 0.9635 |
| 2023-24 | Fargo Force | USHL | 50 | 8 | 3 | 11 | 0.220 | 0.1352 | 0.1255 | 0.6482 | 0.6017 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augustana | D1 | CCHA | SO | 10 | 0 | 1 | 1 | 0.100 |
| 2024-25 | Augustana | D1 | CCHA | — | 20 | 1 | 6 | 7 | 0.350 |
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.