| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | NMH | NE-Prep | 22 | 3 | 5 | 8 | 0.364 | 0.0701 | 0.0701 | 0.1664 | 0.1664 |
| 2022-23 | NMH | NE-Prep | 28 | 7 | 6 | 13 | 0.464 | 0.0896 | 0.0896 | 0.2125 | 0.2125 |
| 2023-24 | El Paso Rhinos | NAHL | 39 | 4 | 8 | 12 | 0.308 | 0.1093 | 0.1094 | 0.3231 | 0.3235 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Endicott | D3 | CNE | — | 28 | 1 | 8 | 9 | 0.321 |
| 2024-25 | Endicott | D3 | CNE | — | 17 | 0 | 5 | 5 | 0.294 |
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.