| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Tampa Bay Juniors | USPHL-Elite | 32 | 12 | 32 | 44 | 1.375 | 0.1269 | 0.1349 | 0.3149 | 0.3348 |
| 2015-16 | P.A.L. Junior Islanders | USPHL-Elite | 40 | 15 | 18 | 33 | 0.825 | 0.0761 | 0.0774 | 0.1889 | 0.1920 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Southern New Hampshire | D2 | NE10 | — | 9 | 2 | 2 | 4 | 0.444 |
| 2016-17 | Southern New Hampshire | D2 | NE10 | — | 9 | 3 | 0 | 3 | 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.