| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Syracuse Jr. Stars | USPHL-Elite | 24 | 13 | 19 | 32 | 1.333 | 0.1599 | 0.1625 | 0.3061 | 0.3110 |
| 2017-18 | Utica Jr. Comets | USPHL-Premier | 44 | 16 | 39 | 55 | 1.250 | 0.1683 | 0.1630 | 0.4255 | 0.4122 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | SUNY Brockport | D3 | — | FR | 16 | 3 | 1 | 4 | 0.250 |
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.