| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Jr. Bruins | USPHL-Elite | 42 | 8 | 17 | 25 | 0.595 | 0.0443 | 0.0468 | 0.1364 | 0.1442 |
| 2022-23 | Boston Jr. Bruins | USPHL-Elite | 38 | 6 | 14 | 20 | 0.526 | 0.0392 | 0.0395 | 0.1206 | 0.1215 |
| 2023-24 | New Hampshire Jr. Mountain Kings | NA3HL | 47 | 2 | 18 | 20 | 0.425 | 0.0471 | 0.0472 | 0.1348 | 0.1352 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | — | 4 | 0 | 0 | 0 | 0.000 |
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.