No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | RPI | D1 | ECAC-W | — | 34 | 8 | 12 | 20 | 0.588 |
| 2017-18 | RPI | D1 | — | — | 34 | 10 | 10 | 20 | 0.588 |
| 2017-18 | Rensselaer | D1 | ECAC-W | JR | 34 | 10 | 10 | 20 | 0.588 |
| 2016-17 | RPI | D1 | ECAC-W | — | 35 | 7 | 7 | 14 | 0.400 |
| 2016-17 | Rensselaer | D1 | ECAC-W | SO | 35 | 7 | 7 | 14 | 0.400 |
| 2015-16 | RPI | D1 | ECAC-W | — | 34 | 3 | 0 | 3 | 0.088 |
| 2015-16 | Rensselaer | D1 | ECAC-W | FR | 34 | 3 | 0 | 3 | 0.088 |
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.