| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 44 | 8 | 18 | 26 | 0.591 | 0.1774 | 0.1829 | 0.4867 | 0.5018 |
| 2017-18 | P.A.L. Junior Islanders | NCDC | 41 | 12 | 20 | 32 | 0.780 | 0.2199 | 0.2127 | 0.6319 | 0.6113 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Neumann | D3 | MAC | — | 21 | 5 | 9 | 14 | 0.667 |
| 2018-19 | Endicott | D3 | — | FR | 5 | 0 | 2 | 2 | 0.400 |
| 2018-19 | Neumann | D3 | — | — | 12 | 2 | 5 | 7 | 0.583 |
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.