| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Weyburn Red Wings | SJHL | 38 | 3 | 2 | 5 | 0.132 | 0.0337 | 0.0355 | 0.0992 | 0.1044 |
| 2010-11 | Neepawa Titans | MJHL | 56 | 21 | 16 | 37 | 0.661 | 0.1272 | 0.1269 | 0.4166 | 0.4156 |
| 2011-12 | — | MJHL | 47 | 16 | 21 | 37 | 0.787 | 0.1515 | 0.1435 | 0.4964 | 0.4703 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Concordia | D3 | MIAC | — | 19 | 1 | 6 | 7 | 0.368 |
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.