| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Cobourg Cougars | OJHL | 41 | 8 | 8 | 16 | 0.390 | 0.1090 | 0.1190 | 0.2693 | 0.2940 |
| 2005-06 | — | OJHL | 47 | 16 | 16 | 32 | 0.681 | 0.1902 | 0.2006 | 0.4699 | 0.4957 |
| 2006-07 | — | OJHL | 37 | 15 | 18 | 33 | 0.892 | 0.2492 | 0.2504 | 0.6155 | 0.6185 |
| 2007-08 | Durham Fury | OJHL | 49 | 23 | 21 | 44 | 0.898 | 0.2509 | 0.2408 | 0.6197 | 0.5946 |
| 2008-09 | — | OJHL | 46 | 37 | 28 | 65 | 1.413 | 0.3948 | 0.3586 | 0.9751 | 0.8857 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Buffalo State | D3 | SUNYAC | SR | 27 | 12 | 9 | 21 | 0.778 |
| 2011-12 | Buffalo State | D3 | SUNYAC | JR | 27 | 16 | 14 | 30 | 1.111 |
| 2010-11 | Buffalo State | D3 | SUNYAC | SO | 25 | 17 | 9 | 26 | 1.040 |
| 2009-10 | Buffalo State | D3 | — | FR | 25 | 5 | 5 | 10 | 0.400 |
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.