| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Carolina Jr. Hurricanes | USPHL-Elite | 43 | 14 | 36 | 50 | 1.163 | 0.1394 | 0.1363 | 0.2670 | 0.2611 |
| 2016-17 | — | USPHL-Elite | 43 | 13 | 31 | 44 | 1.023 | 0.1227 | 0.1129 | 0.2349 | 0.2162 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | King's | D3 | MAC | — | 14 | 0 | 1 | 1 | 0.071 |
| 2019-20 | Bryn Athyn | D3 | — | FR | 10 | 0 | 3 | 3 | 0.300 |
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.