| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Northfield Mt. Hermon | NE-Prep-Girls | 14 | 13 | 13 | 26 | 1.860 | 1.1541 | 1.1541 | — | — |
| 2012-13 | Northfield Mt. Hermon | NE-Prep-Girls | 28 | 17 | 14 | 31 | 1.110 | 0.6888 | 0.6888 | — | — |
| 2013-14 | Connecticut Polar Bears 19U | 19U-AAA-W | 35 | 11 | 15 | 26 | 0.743 | 0.2530 | 0.2530 | — | — |
| 2014-15 | Northfield Mt. Hermon | NE-Prep-Girls | 24 | 2 | 3 | 5 | 0.210 | 0.1303 | 0.1303 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Plattsburgh | D3 | — | SR | 31 | 20 | 22 | 42 | 1.355 |
| 2018-19 | Plattsburgh State | D3 | — | — | 31 | 20 | 22 | 42 | 1.355 |
| 2018-19 | SUNY Plattsburgh | D3 | — | SR | 31 | 20 | 22 | 42 | 1.355 |
| 2017-18 | Plattsburgh | D3 | — | JR | 30 | 30 | 16 | 46 | 1.533 |
| 2017-18 | SUNY Plattsburgh | D3 | — | JR | 30 | 30 | 16 | 46 | 1.533 |
| 2016-17 | Plattsburgh | D3 | — | SO | 30 | 11 | 15 | 26 | 0.867 |
| 2016-17 | SUNY Plattsburgh | D3 | — | SO | 30 | 11 | 15 | 26 | 0.867 |
| 2015-16 | Plattsburgh | D3 | — | FR | 27 | 20 | 14 | 34 | 1.259 |
| 2015-16 | SUNY Plattsburgh | D3 | — | FR | 27 | 20 | 14 | 34 | 1.259 |
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.