| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | London Knights | OHL | 66 | 12 | 10 | 22 | 0.333 | 0.1928 | 0.1790 | 0.8564 | 0.7951 |
| 2008-09 | Peterborough Petes | OHL | 65 | 36 | 33 | 69 | 1.062 | 0.6141 | 0.5405 | 2.7275 | 2.4006 |
| 2013-14 | Västerås IK | Allsvenskan | 49 | 16 | 16 | 32 | 0.653 | 1.6328 | 1.5987 | 6.1273 | 5.9992 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Cornell | D1 | ECAC | FR | 29 | 9 | 10 | 19 | 0.655 |
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.