No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Northeastern | D1 | HEA-W | — | 7 | 0 | 1 | 1 | 0.143 |
| 2022-23 | Yale | D1 | ECAC-W | GR | 4 | 1 | 0 | 1 | 0.250 |
| 2021-22 | Yale | D1 | ECAC-W | SR | 35 | 12 | 13 | 25 | 0.714 |
| 2020-21 | Yale | D1 | ECAC-W | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Yale | D1 | ECAC-W | SO | 22 | 12 | 6 | 18 | 0.818 |
| 2018-19 | Yale | D1 | ECAC-W | FR | 28 | 13 | 8 | 21 | 0.750 |
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.