| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Nipawin Hawks | SJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Nipawin Hawks | SJHL | 37 | 8 | 17 | 25 | 0.676 | 0.1731 | 0.1869 | 0.5093 | 0.5500 |
| 2024-25 | Madison Capitols | USHL | 60 | 3 | 7 | 10 | 0.167 | 0.0983 | 0.0974 | 0.5007 | 0.4963 |
| 2025-26 | Madison Capitols | USHL | 44 | 7 | 18 | 25 | 0.568 | 0.3352 | 0.3161 | 1.7065 | 1.6092 |
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.