| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Lloydminster Blazers | AJHL | 64 | 17 | 30 | 47 | 0.734 | 0.2463 | 0.2504 | 0.6796 | 0.6909 |
| 2001-02 | Lloydminster Bobcats | AJHL | 57 | 34 | 27 | 61 | 1.070 | 0.3589 | 0.3444 | 0.9904 | 0.9504 |
| 2002-03 | Lloydminster Blazers | AJHL | 64 | 22 | 38 | 60 | 0.938 | 0.3144 | 0.2953 | 0.8676 | 0.8148 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Lake Forest | D3 | NCHA | FR | 26 | 4 | 9 | 13 | 0.500 |
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.