| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Couchiching Terriers | OJHL | 41 | 16 | 30 | 46 | 1.122 | 0.3135 | 0.2944 | 0.7743 | 0.7272 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | SUNY Potsdam | D3 | — | SR | 24 | 7 | 9 | 16 | 0.667 |
| 2009-10 | SUNY Potsdam | D3 | — | JR | 25 | 5 | 9 | 14 | 0.560 |
| 2008-09 | SUNY Potsdam | D3 | — | SO | 11 | 1 | 5 | 6 | 0.545 |
| 2007-08 | SUNY Potsdam | D3 | — | FR | 17 | 4 | 7 | 11 | 0.647 |
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.