| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Lakeville South | USHS-MN | 29 | 3 | 7 | 10 | 0.345 | 0.0437 | 0.0437 | 0.0838 | 0.0838 |
| 2020-21 | Lakeville South | USHS-MN | 23 | 4 | 14 | 18 | 0.783 | 0.0991 | 0.0991 | 0.1901 | 0.1901 |
| 2021-22 | Chippewa Steel | NAHL | 11 | 0 | 6 | 6 | 0.545 | 0.2004 | 0.2113 | 0.5758 | 0.6071 |
| 2022-23 | Chippewa Steel | NAHL | 51 | 1 | 8 | 9 | 0.176 | 0.0648 | 0.0651 | 0.1863 | 0.1873 |
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.