| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Aberdeen Wings | NAHL | 59 | 6 | 17 | 23 | 0.390 | 0.1432 | 0.1495 | 0.4114 | 0.4294 |
| 2013-14 | Omaha Lancers | USHL | 56 | 5 | 26 | 31 | 0.554 | 0.3266 | 0.3130 | 1.6627 | 1.5934 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Minnesota | D1 | BigTen | — | 38 | 3 | 12 | 15 | 0.395 |
| 2016-17 | Minnesota | D1 | BigTen | — | 37 | 0 | 14 | 14 | 0.378 |
| 2015-16 | Minnesota | D1 | BigTen | — | 33 | 3 | 7 | 10 | 0.303 |
| 2014-15 | Minnesota | D1 | BigTen | — | 11 | 0 | 1 | 1 | 0.091 |
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.