| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Grand Rapids | USHS-MN | 27 | 4 | 13 | 17 | 0.630 | 0.0797 | 0.0797 | 0.1529 | 0.1529 |
| 2023-24 | Grand Rapids | USHS-MN | 31 | 2 | 10 | 12 | 0.387 | 0.0490 | 0.0490 | 0.0940 | 0.0940 |
| 2024-25 | Grand Rapids | USHS-MN | 27 | 10 | 25 | 35 | 1.296 | 0.1641 | 0.1641 | 0.3149 | 0.3149 |
| 2025-26 | Tri-City Storm | USHL | 44 | 3 | 6 | 9 | 0.204 | 0.1206 | 0.1173 | 0.6142 | 0.5974 |
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.