| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Jersey Hitmen | USPHL-Premier | 39 | 7 | 13 | 20 | 0.513 | 0.0578 | 0.0600 | 0.1745 | 0.1811 |
| 2023-24 | Pennsylvania Huntsmen | EHL | 37 | 4 | 9 | 13 | 0.351 | 0.0514 | 0.0522 | 0.1723 | 0.1751 |
| 2024-25 | Pennsylvania Huntsmen | EHL | 44 | 12 | 14 | 26 | 0.591 | 0.0864 | 0.0834 | 0.2897 | 0.2795 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Misericordia | D3 | MAC | — | 17 | 1 | 0 | 1 | 0.059 |
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.