| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Breck School (W) | USHS-MN-W | 25 | 3 | 4 | 7 | 0.280 | 0.0450 | 0.0450 | — | — |
| 2012-13 | Breck School (W) | USHS-MN-W | 25 | 10 | 9 | 19 | 0.760 | 0.1221 | 0.1221 | — | — |
| 2013-14 | Breck School (W) | USHS-MN-W | 25 | 14 | 8 | 22 | 0.880 | 0.1413 | 0.1413 | — | — |
| 2014-15 | Breck School (W) | USHS-MN-W | 25 | 9 | 5 | 14 | 0.560 | 0.0899 | 0.0899 | — | — |
| 2015-16 | Breck School (W) | USHS-MN-W | 25 | 12 | 15 | 27 | 1.080 | 0.1734 | 0.1734 | — | — |
| 2016-17 | Breck School (W) | USHS-MN-W | 24 | 12 | 15 | 27 | 1.125 | 0.1807 | 0.1807 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Colgate | D1 | ECAC-W | SR | 23 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Colgate | D1 | ECAC-W | JR | 38 | 1 | 2 | 3 | 0.079 |
| 2018-19 | Colgate | D1 | ECAC-W | SO | 36 | 2 | 0 | 2 | 0.056 |
| 2017-18 | Colgate | D1 | ECAC-W | FR | 10 | 0 | 0 | 0 | 0.000 |
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.