| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | CIHA U19 | JWHL-U19 | 28 | 8 | 10 | 18 | 0.643 | 0.2138 | 0.2311 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Merrimack | D1 | — | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Merrimack | D1 | — | SO | 25 | 1 | 12 | 13 | 0.520 |
| 2018-19 | Merrimack | D1 | — | FR | 35 | 2 | 3 | 5 | 0.143 |
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.