| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Paul’s School | NE-Prep | 24 | 10 | 7 | 17 | 0.708 | 0.1998 | 0.1998 | 0.3241 | 0.3241 |
| 2022-23 | St. Paul’s School | NE-Prep | 27 | 6 | 7 | 13 | 0.481 | 0.1358 | 0.1358 | 0.2203 | 0.2203 |
| 2023-24 | — | NCDC | 33 | 10 | 13 | 23 | 0.697 | 0.3886 | 0.3823 | 0.5636 | 0.5545 |
| 2024-25 | Elmira Aviators | NAHL | 57 | 10 | 12 | 22 | 0.386 | 0.1529 | 0.1432 | 0.4053 | 0.3796 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Skidmore | D3 | SUNYAC | FR | 25 | 5 | 7 | 12 | 0.480 |
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.