| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Chicago Steel | USHL | 56 | 13 | 9 | 22 | 0.393 | 0.2502 | 0.2673 | 1.1774 | 1.2579 |
| 2007-08 | Chicago Steel | USHL | 53 | 13 | 11 | 24 | 0.453 | 0.2883 | 0.2932 | 1.3569 | 1.3801 |
| 2008-09 | Lincoln Stars | USHL | 45 | 8 | 13 | 21 | 0.467 | 0.2972 | 0.2890 | 1.3986 | 1.3600 |
| 2009-10 | Salmon Arm Silverbacks | BCHL | 59 | 30 | 30 | 60 | 1.017 | 0.3958 | 0.3686 | 1.4829 | 1.3809 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | UMass Boston | D3 | — | FR | 26 | 9 | 5 | 14 | 0.538 |
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.