| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | South Shore Kings | NCDC | 45 | 3 | 9 | 12 | 0.267 | 0.1087 | 0.1192 | 0.2144 | 0.2351 |
| 2023-24 | West Kelowna Warriors | BCHL | 52 | 3 | 6 | 9 | 0.173 | 0.0667 | 0.0684 | 0.2519 | 0.2584 |
| 2024-25 | Maryland Black Bears | NAHL | 27 | 3 | 10 | 13 | 0.481 | 0.1769 | 0.1756 | 0.5082 | 0.5045 |
| 2025-26 | Maryland Black Bears | NAHL | 57 | 19 | 32 | 51 | 0.895 | 0.3287 | 0.3101 | 0.9444 | 0.8911 |
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.