| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Buffalo Lightning | OJHL | 47 | 16 | 36 | 52 | 1.106 | 0.3091 | 0.2811 | 0.7635 | 0.6942 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Elmira | D3 | — | SR | 24 | 10 | 18 | 28 | 1.167 |
| 2003-04 | Elmira | D3 | — | JR | 24 | 14 | 16 | 30 | 1.250 |
| 2002-03 | Elmira | D3 | — | SO | 28 | 17 | 20 | 37 | 1.321 |
| 2001-02 | Elmira | D3 | — | FR | 17 | 4 | 10 | 14 | 0.824 |
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.