| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Milton Academy | NE-Prep | 21 | 6 | 13 | 19 | 0.905 | 0.2552 | 0.2552 | 0.4140 | 0.4140 |
| 2019-20 | — | CCHL | 38 | 1 | 5 | 6 | 0.158 | 0.0504 | 0.0504 | 0.1222 | 0.1222 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Amherst | D3 | NESCAC | SR | 25 | 5 | 9 | 14 | 0.560 |
| 2022-23 | Amherst | D3 | NESCAC | JR | 24 | 4 | 10 | 14 | 0.583 |
| 2021-22 | Amherst | D3 | NESCAC | SO | 12 | 2 | 1 | 3 | 0.250 |
| 2020-21 | Amherst | D3 | NESCAC | FR | 0 | 0 | 0 | 0 | 0.000 |
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.