| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Connecticut Jr. Rangers | USPHL-Premier | 28 | 8 | 5 | 13 | 0.464 | 0.0625 | 0.0625 | 0.1580 | 0.1580 |
| 2021-22 | Connecticut Jr. Rangers | NCDC | 40 | 7 | 10 | 17 | 0.425 | 0.1198 | 0.1107 | 0.3441 | 0.3181 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | SUNY Brockport | D3 | — | JR | 24 | 6 | 8 | 14 | 0.583 |
| 2023-24 | SUNY Brockport | D3 | SUNYAC | SO | 22 | 6 | 9 | 15 | 0.682 |
| 2022-23 | SUNY Brockport | D3 | SUNYAC | FR | 20 | 6 | 8 | 14 | 0.700 |
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.