| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Tampa Bay Juniors | USPHL-Elite | 41 | 10 | 19 | 29 | 0.707 | 0.0527 | 0.0527 | 0.1620 | 0.1620 |
| 2021-22 | Tampa Bay Juniors | USPHL-Premier | 42 | 6 | 8 | 14 | 0.333 | 0.0376 | 0.0418 | 0.1134 | 0.1262 |
| 2023-24 | Boston Jr. Bruins | NCDC | 22 | 2 | 0 | 2 | 0.091 | 0.0210 | 0.0215 | 0.0735 | 0.0751 |
| 2024-25 | New Hampshire Avalanche | EHL | 40 | 5 | 6 | 11 | 0.275 | 0.0402 | 0.0398 | 0.1348 | 0.1336 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Roger Williams | D3 | CNE | — | 20 | 0 | 2 | 2 | 0.100 |
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.