| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Loomis Chaffee | NE-Prep | 25 | 6 | 3 | 9 | 0.360 | 0.0713 | 0.0713 | 0.1640 | 0.1640 |
| 2019-20 | — | AJHL | 53 | 10 | 12 | 22 | 0.415 | 0.1392 | 0.1392 | 0.3841 | 0.3841 |
| 2020-21 | Connecticut Jr. Rangers | NCDC | 22 | 8 | 7 | 15 | 0.682 | 0.2780 | 0.2780 | 0.5480 | 0.5480 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Lawrence | D1 | ECAC | — | 35 | 2 | 7 | 9 | 0.257 |
| 2023-24 | Yale | D1 | ECAC | GR | 30 | 1 | 4 | 5 | 0.167 |
| 2022-23 | Yale | D1 | ECAC | SR | 31 | 7 | 5 | 12 | 0.387 |
| 2021-22 | Yale | D1 | ECAC | JR | 30 | 4 | 5 | 9 | 0.300 |
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.