No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | D1 | ECAC-W | — | 36 | 4 | 17 | 21 | 0.583 |
| 2024-25 | Colgate | D1 | ECAC-W | — | 39 | 3 | 26 | 29 | 0.744 |
| 2023-24 | College of the Holy Cross | D1 | NEWHA | — | 34 | 2 | 9 | 11 | 0.324 |
| 2023-24 | Holy Cross | D1 | NEWHA | SO | 34 | 2 | 9 | 11 | 0.324 |
| 2022-23 | College of the Holy Cross | D1 | NEWHA | — | 34 | 2 | 5 | 7 | 0.206 |
| 2022-23 | Holy Cross | D1 | NEWHA | FR | 34 | 2 | 5 | 7 | 0.206 |
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.