| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | U.S. National U17 Team | NTDP-U18 | 56 | 6 | 14 | 20 | 0.357 | 0.2840 | 0.2918 | 1.3374 | 1.3740 |
| 2013-14 | U.S. National U18 Team | NTDP-U18 | 59 | 2 | 26 | 28 | 0.475 | 0.3775 | 0.3672 | 1.7775 | 1.7288 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Minnesota | D1 | BigTen | SR | 34 | 1 | 6 | 7 | 0.206 |
| 2016-17 | Minnesota | D1 | BigTen | JR | 13 | 0 | 2 | 2 | 0.154 |
| 2015-16 | Minnesota | D1 | BigTen | SO | 36 | 3 | 8 | 11 | 0.306 |
| 2014-15 | Minnesota | D1 | BigTen | FR | 22 | 0 | 3 | 3 | 0.136 |
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.