| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | St. Paul United (W) | USHS-MN-W | 25 | 6 | 2 | 8 | 0.320 | 0.0483 | 0.0483 | — | — |
| 2012-13 | St. Paul United (W) | USHS-MN-W | 24 | 7 | 8 | 15 | 0.625 | 0.0944 | 0.0944 | — | — |
| 2013-14 | St. Paul United (W) | USHS-MN-W | 23 | 15 | 14 | 29 | 1.261 | 0.1904 | 0.1904 | — | — |
| 2014-15 | St. Paul United (W) | USHS-MN-W | 25 | 37 | 18 | 55 | 2.200 | 0.3322 | 0.3322 | — | — |
| 2015-16 | St. Paul United (W) | USHS-MN-W | 25 | 24 | 29 | 53 | 2.120 | 0.3201 | 0.3201 | — | — |
| 2016-17 | St. Paul United (W) | USHS-MN-W | 25 | 23 | 29 | 52 | 2.080 | 0.3141 | 0.3141 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Cornell | D1 | ECAC-W | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Cornell | D1 | ECAC-W | JR | 28 | 2 | 2 | 4 | 0.143 |
| 2018-19 | Cornell | D1 | ECAC-W | SO | 36 | 1 | 3 | 4 | 0.111 |
| 2017-18 | Cornell | D1 | ECAC-W | FR | 33 | 6 | 0 | 6 | 0.182 |
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.