| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Taft | NE-Prep | 22 | 12 | 23 | 35 | 1.591 | 0.3152 | 0.3152 | 0.7248 | 0.7248 |
| 2023-24 | Taft | NE-Prep | 25 | 7 | 9 | 16 | 0.640 | 0.1268 | 0.1268 | 0.2916 | 0.2916 |
| 2024-25 | Jersey Hitmen | NCDC | 51 | 12 | 18 | 30 | 0.588 | 0.2398 | 0.2365 | 0.4728 | 0.4664 |
| 2025-26 | Jersey Hitmen | NCDC | 52 | 23 | 32 | 55 | 1.058 | 0.4312 | 0.4021 | 0.8502 | 0.7929 |
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.