| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | WB/Scranton Knights | USPHL-Elite | 34 | 32 | 26 | 58 | 1.706 | 0.1575 | 0.1655 | 0.3907 | 0.4106 |
| 2023-24 | WB/Scranton Knights | NCDC | 21 | 1 | 5 | 6 | 0.286 | 0.1165 | 0.1228 | 0.2296 | 0.2420 |
| 2024-25 | Navan Grads | CCHL | 5 | 1 | 1 | 2 | 0.400 | 0.0868 | 0.0859 | 0.3095 | 0.3062 |
| 2025-26 | West Chester Wolves | NCDC | 28 | 6 | 5 | 11 | 0.393 | 0.1602 | 0.1531 | 0.3158 | 0.3018 |
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.