| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Palm Beach Typhoon | USPHL-Elite | 41 | 3 | 2 | 5 | 0.122 | 0.0091 | 0.0097 | 0.0280 | 0.0298 |
| 2022-23 | Palm Beach Typhoon | USPHL-Elite | 42 | 4 | 21 | 25 | 0.595 | 0.0443 | 0.0449 | 0.1364 | 0.1382 |
| 2023-24 | Palm Beach Typhoon | USPHL-Premier | 43 | 1 | 17 | 18 | 0.419 | 0.0472 | 0.0477 | 0.1424 | 0.1438 |
| 2024-25 | Bridgewater Jr. Bandits | EHL | 45 | 1 | 20 | 21 | 0.467 | 0.0683 | 0.0673 | 0.2288 | 0.2255 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Westfield 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.