| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Swan Valley Stampeders | MJHL | 26 | 1 | 5 | 6 | 0.231 | 0.0444 | 0.0447 | 0.1455 | 0.1465 |
| 2014-15 | Wisconsin Whalers | NA3HL | 44 | 7 | 17 | 24 | 0.545 | 0.0685 | 0.0652 | 0.1722 | 0.1638 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Gustavus Adolphus | D3 | MIAC | — | 22 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Gustavus Adolphus | D3 | MIAC | — | 20 | 1 | 3 | 4 | 0.200 |
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.