| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Hill-Murray | USHS-MN | 29 | 4 | 12 | 16 | 0.552 | 0.0698 | 0.0698 | 0.1340 | 0.1340 |
| 2023-24 | Hill-Murray | USHS-MN | 26 | 6 | 15 | 21 | 0.808 | 0.1023 | 0.1023 | 0.1962 | 0.1962 |
| 2024-25 | Hill-Murray | USHS-MN | 26 | 14 | 29 | 43 | 1.654 | 0.2094 | 0.2094 | 0.4017 | 0.4017 |
| 2025-26 | Fargo Force | USHL | 58 | 5 | 9 | 14 | 0.241 | 0.1424 | 0.1397 | 0.7250 | 0.7113 |
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.