No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | D1 | ECAC-W | SR | 36 | 19 | 25 | 44 | 1.222 |
| 2024-25 | Colgate | D1 | ECAC-W | JR | 39 | 19 | 32 | 51 | 1.308 |
| 2023-24 | Colgate | D1 | ECAC-W | SO | 40 | 17 | 33 | 50 | 1.250 |
| 2022-23 | Colgate | D1 | ECAC-W | FR | 40 | 17 | 21 | 38 | 0.950 |
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.