| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Melville Millionaires | SJHL | 54 | 2 | 12 | 14 | 0.259 | 0.0664 | 0.0749 | 0.1953 | 0.2202 |
| 2022-23 | Melville Millionaires | SJHL | 56 | 16 | 17 | 33 | 0.589 | 0.1510 | 0.1627 | 0.4437 | 0.4782 |
| 2023-24 | Shreveport Mudbugs | NAHL | 48 | 7 | 10 | 17 | 0.354 | 0.1301 | 0.1350 | 0.3744 | 0.3886 |
| 2024-25 | Shreveport Mudbugs | NAHL | 56 | 12 | 25 | 37 | 0.661 | 0.2427 | 0.2392 | 0.6983 | 0.6882 |
| 2025-26 | — | NAHL | 29 | 11 | 11 | 22 | 0.759 | 0.2787 | 0.2609 | 0.8018 | 0.7507 |
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.