| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Omaha Lancers | USHL | 60 | 28 | 31 | 59 | 0.983 | 0.5800 | 0.6082 | 2.9532 | 3.0969 |
| 2010-11 | Montréal Juniors | QMJHL | 51 | 26 | 32 | 58 | 1.137 | 0.5588 | 0.5228 | 3.0369 | 2.8411 |
| 2015-16 | HC Slovan Bratislava | KHL | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Harvard | D1 | ECAC | FR | 31 | 11 | 12 | 23 | 0.742 |
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.