| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Taft | NE-Prep | 5 | 0 | 2 | 2 | 0.400 | 0.0792 | 0.0792 | 0.1822 | 0.1822 |
| 2022-23 | Taft | NE-Prep | 18 | 1 | 4 | 5 | 0.278 | 0.0550 | 0.0550 | 0.1266 | 0.1266 |
| 2023-24 | Taft | NE-Prep | 25 | 2 | 11 | 13 | 0.520 | 0.1030 | 0.1030 | 0.2369 | 0.2369 |
| 2024-25 | Jersey Hitmen | NCDC | 38 | 3 | 4 | 7 | 0.184 | 0.0751 | 0.0758 | 0.1481 | 0.1494 |
| 2025-26 | New Jersey Jr. Titans | NAHL | 15 | 0 | 5 | 5 | 0.333 | 0.1225 | 0.1172 | 0.3518 | 0.3366 |
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.