| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Chicago Steel | USHL | 39 | 2 | 3 | 5 | 0.128 | 0.0756 | 0.0786 | 0.3850 | 0.4001 |
| 2023-24 | Chicago Steel | USHL | 19 | 4 | 0 | 4 | 0.210 | 0.1242 | 0.1229 | 0.6322 | 0.6256 |
| 2024-25 | Fargo Force | USHL | 55 | 6 | 11 | 17 | 0.309 | 0.1823 | 0.1711 | 0.9284 | 0.8714 |
| 2025-26 | Omaha Lancers | USHL | 50 | 10 | 7 | 17 | 0.340 | 0.2006 | 0.1786 | 1.0212 | 0.9092 |
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.