| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Prior Lake | USHS-MN | 18 | 0 | 2 | 2 | 0.111 | 0.0299 | 0.0299 | 0.0270 | 0.0270 |
| 2020-21 | Prior Lake | USHS-MN | 18 | 6 | 6 | 12 | 0.667 | 0.1795 | 0.1795 | 0.1619 | 0.1619 |
| 2021-22 | Prior Lake | USHS-MN | 31 | 10 | 8 | 18 | 0.581 | 0.1563 | 0.1563 | 0.1410 | 0.1410 |
| 2022-23 | Springfield Jr. Blues | NAHL | 9 | 1 | 1 | 2 | 0.222 | 0.0880 | 0.0910 | 0.2333 | 0.2411 |
| 2023-24 | Utica Jr. Comets | NCDC | 45 | 5 | 10 | 15 | 0.333 | 0.1858 | 0.1822 | 0.2695 | 0.2643 |
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.