| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Waterloo Black Hawks | USHL | 56 | 9 | 8 | 17 | 0.304 | 0.1791 | 0.2008 | 0.9118 | 1.0224 |
| 2004-05 | Waterloo Black Hawks | USHL | 60 | 30 | 15 | 45 | 0.750 | 0.4424 | 0.4738 | 2.2526 | 2.4123 |
| 2006-07 | London Knights | OHL | 67 | 38 | 35 | 73 | 1.090 | 0.6303 | 0.6008 | 2.7997 | 2.6685 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Yale | D1 | ECAC | FR | 31 | 7 | 3 | 10 | 0.323 |
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.