| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Andover | NE-Prep | 28 | 18 | 26 | 44 | 1.571 | 0.4433 | 0.4433 | 0.7191 | 0.7191 |
| 2022-23 | Boston Jr. Bruins | NCDC | 49 | 22 | 20 | 42 | 0.857 | 0.4779 | 0.4830 | 0.6931 | 0.7005 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Assumption | D2 | NE10 | SR | 33 | 34 | 31 | 65 | 1.970 |
| 2024-25 | Assumption | D2 | NE10 | JR | 32 | 8 | 18 | 26 | 0.812 |
| 2023-24 | Assumption | D2 | NE10 | SO | 30 | 23 | 13 | 36 | 1.200 |
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.