| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Jersey Rockets | NCDC | 38 | 8 | 15 | 23 | 0.605 | 0.3375 | 0.3375 | 0.4894 | 0.4894 |
| 2021-22 | New Jersey Rockets | NCDC | 46 | 27 | 31 | 58 | 1.261 | 0.7031 | 0.7018 | — | — |
| 2022-23 | Sioux City Musketeers | USHL | 8 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Army | D1 | AHA | JR | 35 | 7 | 17 | 24 | 0.686 |
| 2024-25 | Army | D1 | AHA | SR | 38 | 11 | 15 | 26 | 0.684 |
| 2023-24 | Army | D1 | AHA | JR | 31 | 5 | 3 | 8 | 0.258 |
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.