| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Brooklyn Aviators | USPHL-Premier | 22 | 7 | 12 | 19 | 0.864 | 0.1130 | 0.1130 | 0.2931 | 0.2931 |
| 2021-22 | — | NAHL | 13 | 0 | 1 | 1 | 0.077 | 0.0283 | 0.0295 | 0.0812 | 0.0848 |
| 2022-23 | — | NAHL | 35 | 3 | 5 | 8 | 0.229 | 0.0840 | 0.0835 | 0.2413 | 0.2400 |
| 2023-24 | St. Cloud Norsemen | NAHL | 43 | 8 | 17 | 25 | 0.581 | 0.2136 | 0.2022 | 0.6137 | 0.5811 |
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.