| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | BB&N | NE-Prep | 23 | 6 | 16 | 22 | 0.957 | 0.1836 | 0.1836 | 0.4358 | 0.4358 |
| 2022-23 | BB&N | NE-Prep | 27 | 10 | 14 | 24 | 0.889 | 0.1707 | 0.1707 | 0.4050 | 0.4050 |
| 2023-24 | East Coast Wizards | EHL | 45 | 16 | 38 | 54 | 1.200 | 0.1757 | 0.1817 | 0.5878 | 0.6080 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | SO | 26 | 8 | 11 | 19 | 0.731 |
| 2024-25 | Bowdoin | D3 | NESCAC | — | 16 | 2 | 3 | 5 | 0.312 |
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.