| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Swan Valley Stampeders | MJHL | 52 | 5 | 7 | 12 | 0.231 | 0.0653 | 0.0674 | 0.1454 | 0.1500 |
| 2014-15 | Swan Valley Stampeders | MJHL | 58 | 9 | 20 | 29 | 0.500 | 0.1414 | 0.1385 | 0.3150 | 0.3086 |
| 2015-16 | Swan Valley Stampeders | MJHL | 60 | 17 | 24 | 41 | 0.683 | 0.1933 | 0.1792 | 0.4305 | 0.3991 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin-Stout | D3 | BigTen | FR | 27 | 8 | 12 | 20 | 0.741 |
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.