| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Notre Dame Hounds | SJHL | 51 | 21 | 25 | 46 | 0.902 | 0.2311 | 0.2431 | 0.6799 | 0.7151 |
| 2004-05 | Cedar Rapids RoughRiders | USHL | 58 | 20 | 47 | 67 | 1.155 | 0.6815 | 0.6674 | 3.4695 | 3.3977 |
| 2005-06 | Cedar Rapids RoughRiders | USHL | 55 | 19 | 52 | 71 | 1.291 | 0.7615 | 0.7058 | 3.8771 | 3.5936 |
| 2017-18 | Avangard Omsk | KHL | 21 | 3 | 9 | 12 | 0.571 | 1.4285 | 1.0785 | 7.8731 | 5.9439 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Geneseo | D3 | SUNYAC | FR | 20 | 8 | 3 | 11 | 0.550 |
| 2006-07 | Maine | D1 | HockeyEast | FR | 40 | 16 | 27 | 43 | 1.075 |
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.