| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cloquet/Esko/Carlton | USHS-MN | 26 | 3 | 10 | 13 | 0.500 | 0.0633 | 0.0633 | 0.1215 | 0.1215 |
| 2022-23 | Cloquet/Esko/Carlton | USHS-MN | 19 | 2 | 11 | 13 | 0.684 | 0.0866 | 0.0866 | 0.1662 | 0.1662 |
| 2023-24 | Cloquet/Esko/Carlton | USHS-MN | 27 | 7 | 17 | 24 | 0.889 | 0.1125 | 0.1125 | 0.2159 | 0.2159 |
| 2024-25 | Minnesota Wilderness | NAHL | 26 | 3 | 6 | 9 | 0.346 | 0.1272 | 0.1331 | 0.3654 | 0.3825 |
| 2025-26 | Cedar Rapids RoughRiders | USHL | 41 | 4 | 15 | 19 | 0.463 | 0.2734 | 0.2609 | 1.3918 | 1.3282 |
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.