| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Neepawa Titans | MJHL | 59 | 3 | 10 | 13 | 0.220 | 0.0623 | 0.0643 | 0.1388 | 0.1432 |
| 2006-07 | Neepawa Titans | MJHL | 59 | 19 | 47 | 66 | 1.119 | 0.3165 | 0.3117 | 0.7048 | 0.6942 |
| 2007-08 | — | AJHL | 59 | 15 | 23 | 38 | 0.644 | 0.2151 | 0.1990 | 0.5979 | 0.5531 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Wisconsin-Superior | D3 | — | FR | 3 | 1 | 1 | 2 | 0.667 |
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.