| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Northern Cyclones | EHL | 32 | 4 | 6 | 10 | 0.312 | 0.0671 | 0.0685 | 0.1530 | 0.1563 |
| 2016-17 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 40 | 6 | 10 | 16 | 0.400 | 0.1201 | 0.1173 | 0.3295 | 0.3219 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New England | D3 | — | SR | 4 | 1 | 3 | 4 | 1.000 |
| 2019-20 | New England | D3 | — | JR | 23 | 9 | 9 | 18 | 0.783 |
| 2018-19 | New England | D3 | — | SO | 30 | 6 | 15 | 21 | 0.700 |
| 2017-18 | New England | D3 | — | FR | 28 | 11 | 18 | 29 | 1.036 |
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.