| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica Jr. Comets | NCDC | 49 | 0 | 8 | 8 | 0.163 | 0.0377 | 0.0386 | 0.1320 | 0.1350 |
| 2023-24 | Utica Jr. Comets | NCDC | 52 | 5 | 19 | 24 | 0.462 | 0.1067 | 0.1031 | 0.3732 | 0.3607 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | D3 | UCHC | — | 25 | 2 | 11 | 13 | 0.520 |
| 2024-25 | Elmira | D3 | UCHC | — | 25 | 2 | 13 | 15 | 0.600 |
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.