| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | New Hampshire Jr. Monarchs | USPHL-Premier | 35 | 0 | 4 | 4 | 0.114 | 0.0377 | 0.0377 | 0.0389 | 0.0389 |
| 2020-21 | New Jersey Jr. Titans | NA3HL | 16 | 2 | 0 | 2 | 0.125 | 0.0288 | 0.0288 | 0.0396 | 0.0396 |
| 2021-22 | New Jersey Jr. Titans | NA3HL | 46 | 6 | 9 | 15 | 0.326 | 0.0750 | 0.0725 | 0.1033 | 0.0999 |
| 2022-23 | — | EHL | 44 | 3 | 6 | 9 | 0.204 | 0.0720 | 0.0686 | 0.1003 | 0.0955 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Fitchburg State | D3 | MASCAC | GR | 25 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Fitchburg State | D3 | MASCAC | SR | 26 | 1 | 3 | 4 | 0.154 |
| 2023-24 | Fitchburg State | D3 | MASCAC | JR | 20 | 0 | 3 | 3 | 0.150 |
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.