| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Syracuse Jr. Crunch | OJHL | 43 | 14 | 28 | 42 | 0.977 | 0.2729 | 0.2874 | 0.6740 | 0.7097 |
| 2001-02 | Syracuse Jr. Crunch | OJHL | 47 | 11 | 31 | 42 | 0.894 | 0.2497 | 0.2500 | 0.6167 | 0.6175 |
| 2002-03 | — | OJHL | 34 | 9 | 17 | 26 | 0.765 | 0.2137 | 0.2051 | 0.5277 | 0.5066 |
| 2003-04 | Syracuse Jr. Crunch | OJHL | 28 | 22 | 21 | 43 | 1.536 | 0.4291 | 0.3926 | 1.0598 | 0.9697 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Elmira | D3 | — | FR | 11 | 5 | 4 | 9 | 0.818 |
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.