| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Texarkana Bandits | NAHL | 56 | 20 | 24 | 44 | 0.786 | 0.3113 | 0.3385 | 0.8249 | 0.8969 |
| 2004-05 | Lincoln Stars | USHL | 60 | 30 | 30 | 60 | 1.000 | 0.6147 | 0.6299 | 2.9462 | 3.0191 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Notre Dame | D1 | — | SR | 40 | 13 | 25 | 38 | 0.950 |
| 2007-08 | Notre Dame | D1 | — | JR | 41 | 15 | 23 | 38 | 0.927 |
| 2006-07 | Notre Dame | D1 | — | SO | 42 | 14 | 34 | 48 | 1.143 |
| 2005-06 | Notre Dame | D1 | — | FR | 36 | 6 | 28 | 34 | 0.944 |
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.