| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Bemidji | USHS-MN | 26 | 1 | 8 | 9 | 0.346 | 0.0438 | 0.0438 | 0.0841 | 0.0841 |
| 2022-23 | Bemidji | USHS-MN | 25 | 6 | 11 | 17 | 0.680 | 0.0861 | 0.0861 | 0.1652 | 0.1652 |
| 2023-24 | Bemidji | USHS-MN | 22 | 5 | 10 | 15 | 0.682 | 0.0863 | 0.0863 | 0.1656 | 0.1656 |
| 2024-25 | Bemidji | USHS-MN | 28 | 7 | 32 | 39 | 1.393 | 0.1763 | 0.1763 | 0.3383 | 0.3383 |
| 2025-26 | Sioux Falls Stampede | USHL | 59 | 4 | 16 | 20 | 0.339 | 0.2000 | 0.1906 | 1.0182 | 0.9703 |
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.