| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 25 | 7 | 14 | 21 | 0.840 | 0.1349 | 0.1349 | — | — |
| 2013-14 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 24 | 6 | 16 | 22 | 0.917 | 0.1472 | 0.1472 | — | — |
| 2014-15 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 24 | 14 | 22 | 36 | 1.500 | 0.2409 | 0.2409 | — | — |
| 2015-16 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 25 | 16 | 18 | 34 | 1.360 | 0.2184 | 0.2184 | — | — |
| 2016-17 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 25 | 24 | 17 | 41 | 1.640 | 0.2634 | 0.2634 | — | — |
| 2017-18 | Hopkins/St. Louis Park High (W) | USHS-MN-W | 25 | 32 | 20 | 52 | 2.080 | 0.3340 | 0.3340 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minnesota Duluth | D1 | WCHA-W | SR | 36 | 5 | 14 | 19 | 0.528 |
| 2021-22 | Minnesota Duluth | D1 | WCHA-W | SR | 40 | 6 | 4 | 10 | 0.250 |
| 2020-21 | Minnesota Duluth | D1 | WCHA-W | JR | 11 | 3 | 3 | 6 | 0.545 |
| 2019-20 | Minnesota Duluth | D1 | WCHA-W | SO | 36 | 7 | 11 | 18 | 0.500 |
| 2018-19 | Minnesota Duluth | D1 | WCHA-W | 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.