| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Marks | NE-Prep | 28 | 9 | 7 | 16 | 0.571 | 0.1612 | 0.1612 | 0.2615 | 0.2615 |
| 2019-20 | St. Marks | NE-Prep | 27 | 11 | 27 | 38 | 1.407 | 0.3970 | 0.3970 | — | — |
| 2020-21 | — | USHL | 45 | 10 | 14 | 24 | 0.533 | 0.3278 | 0.3278 | 1.5712 | 1.5712 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Harvard | D1 | ECAC | SR | 32 | 3 | 11 | 14 | 0.438 |
| 2023-24 | Harvard | D1 | ECAC | JR | 21 | 3 | 5 | 8 | 0.381 |
| 2022-23 | Harvard | D1 | ECAC | SO | 34 | 1 | 18 | 19 | 0.559 |
| 2021-22 | Harvard | D1 | ECAC | FR | 35 | 2 | 13 | 15 | 0.429 |
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.