| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | P.A.L. Junior Islanders | NCDC | 48 | 22 | 23 | 45 | 0.938 | 0.2167 | 0.2283 | 0.7581 | 0.7986 |
| 2022-23 | P.A.L. Junior Islanders | NCDC | 45 | 22 | 41 | 63 | 1.400 | 0.3235 | 0.3272 | 1.1320 | 1.1451 |
| 2023-24 | Rochester Jr. Americans | NAHL | 52 | 28 | 32 | 60 | 1.154 | 0.4098 | 0.3935 | 1.2114 | 1.1631 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | AHA | SO | 20 | 4 | 2 | 6 | 0.300 |
| 2024-25 | Long Island Univ. | D1 | AHA | — | 23 | 1 | 7 | 8 | 0.348 |
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.