| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | St. Cloud Norsemen | NAHL | 30 | 1 | 2 | 3 | 0.100 | 0.0371 | 0.0386 | 0.1059 | 0.1102 |
| 2013-14 | St. Cloud Norsemen | NAHL | 7 | 0 | 1 | 1 | 0.143 | 0.0531 | 0.0526 | 0.1513 | 0.1498 |
| 2014-15 | St. Cloud Norsemen | NAHL | 57 | 14 | 14 | 28 | 0.491 | 0.1824 | 0.1711 | 0.5201 | 0.4877 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin-Stout | D3 | BigTen | SO | 11 | 3 | 1 | 4 | 0.364 |
| 2015-16 | Wisconsin-Stout | D3 | BigTen | FR | 24 | 6 | 9 | 15 | 0.625 |
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.