| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | — | OJHL | 56 | 16 | 31 | 47 | 0.839 | 0.2057 | 0.2316 | 0.5779 | 0.6506 |
| 2010-11 | — | OJHL | 49 | 24 | 39 | 63 | 1.286 | 0.3151 | 0.3401 | 0.8852 | 0.9553 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Michigan | D1 | BigTen | — | 35 | 13 | 11 | 24 | 0.686 |
| 2012-13 | Michigan | D1 | CCHA-orig | — | 40 | 9 | 19 | 28 | 0.700 |
| 2011-12 | Michigan | D1 | CCHA-orig | — | 40 | 11 | 15 | 26 | 0.650 |
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.