| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Cleveland Barons | NAHL | 23 | 8 | 4 | 12 | 0.522 | 0.2067 | 0.2198 | 0.5477 | 0.5825 |
| 2005-06 | Mahoning Valley Phantoms | NAHL | 10 | 4 | 0 | 4 | 0.400 | 0.1585 | 0.1607 | 0.4200 | 0.4258 |
| 2007-08 | Ohio Blue Jackets | USHL | 7 | 1 | 2 | 3 | 0.429 | 0.2635 | 0.2360 | 1.2627 | 1.1310 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Utica | D3 | — | FR | 24 | 7 | 6 | 13 | 0.542 |
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.