| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Burlington Cougars | OJHL | 48 | 19 | 34 | 53 | 1.104 | 0.3085 | 0.3044 | 0.7620 | 0.7518 |
| 2005-06 | Burlington Cougars | OJHL | 9 | 1 | 2 | 3 | 0.333 | 0.0931 | 0.0884 | 0.2300 | 0.2184 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Buffalo State | D3 | SUNYAC | SR | 25 | 9 | 21 | 30 | 1.200 |
| 2009-10 | Buffalo State | D3 | — | JR | 25 | 15 | 13 | 28 | 1.120 |
| 2008-09 | Buffalo State | D3 | — | SO | 25 | 16 | 29 | 45 | 1.800 |
| 2007-08 | Buffalo State | D3 | — | FR | 25 | 12 | 18 | 30 | 1.200 |
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.