| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Hartford Jr. Wolfpack | USPHL-Elite | 40 | 25 | 17 | 42 | 1.050 | 0.0969 | 0.1004 | 0.2405 | 0.2493 |
| 2018-19 | Connecticut Nighthawks | USPHL-Premier | 43 | 7 | 3 | 10 | 0.233 | 0.0304 | 0.0315 | 0.0789 | 0.0816 |
| 2019-20 | Connecticut Nighthawks | USPHL-Premier | 42 | 22 | 27 | 49 | 1.167 | 0.1526 | 0.1526 | 0.3960 | 0.3960 |
| 2020-21 | Connecticut Nor'Easter | EHL | 38 | 14 | 21 | 35 | 0.921 | 0.2128 | 0.2128 | 0.4507 | 0.4507 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Rivier | D3 | MASCAC | — | 3 | 1 | 0 | 1 | 0.333 |
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.