| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Warner Hockey School | JWHL-U19 | 20 | 23 | 18 | 41 | 2.050 | 0.6818 | 0.6436 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Colgate | D1 | ECAC-W | SR | 38 | 16 | 29 | 45 | 1.184 |
| 2017-18 | Colgate | D1 | ECAC-W | JR | 41 | 16 | 19 | 35 | 0.854 |
| 2016-17 | Colgate | D1 | ECAC-W | SO | 36 | 14 | 16 | 30 | 0.833 |
| 2015-16 | Colgate | D1 | ECAC-W | FR | 38 | 11 | 15 | 26 | 0.684 |
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.