| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | MJHL | 52 | 20 | 20 | 40 | 0.769 | 0.2091 | 0.2168 | 0.4847 | 0.5026 |
| 2012-13 | Neepawa Titans | MJHL | 59 | 24 | 17 | 41 | 0.695 | 0.1889 | 0.1865 | 0.4379 | 0.4323 |
| 2013-14 | — | MJHL | 46 | 14 | 18 | 32 | 0.696 | 0.1892 | 0.1772 | 0.4384 | 0.4106 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Wisconsin-Superior | D3 | BigTen | FR | 3 | 0 | 0 | 0 | 0.000 |
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.