| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | — | OJHL | 20 | 2 | 8 | 10 | 0.500 | 0.1226 | 0.1107 | 0.3422 | 0.3090 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Milwaukee School of Engineering | D3 | — | JR | 28 | 18 | 14 | 32 | 1.143 |
| 2009-10 | Milwaukee School of Engineering | D3 | — | SO | 27 | 9 | 16 | 25 | 0.926 |
| 2008-09 | Milwaukee School of Engineering | D3 | — | FR | 21 | 4 | 3 | 7 | 0.333 |
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.