| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lawrenceville School | NE-Prep | 29 | 15 | 7 | 22 | 0.759 | 0.2140 | 0.2140 | 0.5250 | 0.5890 |
| 2022-23 | Muskegon Lumberjacks | USHL | 52 | 7 | 12 | 19 | 0.365 | 0.2246 | 0.2311 | 1.0765 | 1.1079 |
| 2023-24 | Muskegon Lumberjacks | USHL | 55 | 25 | 22 | 47 | 0.855 | 0.5253 | 0.5145 | 2.5175 | 2.4659 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC | SO | 29 | 3 | 9 | 12 | 0.414 |
| 2024-25 | Harvard | D1 | ECAC | — | 33 | 5 | 7 | 12 | 0.364 |
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.