No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Utica | D3 | UCHC | — | 28 | 16 | 15 | 31 | 1.107 |
| 2022-23 | Utica | D3 | UCHC | — | 28 | 24 | 21 | 45 | 1.607 |
| 2021-22 | Utica | D3 | UCHC | — | 27 | 24 | 28 | 52 | 1.926 |
| 2020-21 | Utica | D3 | UCHC | — | 13 | 6 | 8 | 14 | 1.077 |
| 2019-20 | Utica | D3 | UCHC | — | 26 | 7 | 8 | 15 | 0.577 |
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.