| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | — | OJHL | 56 | 20 | 31 | 51 | 0.911 | 0.2736 | 0.3053 | 0.6234 | 0.6956 |
| 2010-11 | — | OJHL | 37 | 21 | 33 | 54 | 1.460 | 0.4384 | 0.4687 | 0.9990 | 1.0681 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Boston University | D1 | HockeyEast | — | 41 | 21 | 40 | 61 | 1.488 |
| 2013-14 | Boston University | D1 | HockeyEast | — | 31 | 5 | 9 | 14 | 0.452 |
| 2012-13 | Boston University | D1 | HockeyEast | — | 38 | 14 | 20 | 34 | 0.895 |
| 2011-12 | Boston University | D1 | HockeyEast | — | 36 | 2 | 10 | 12 | 0.333 |
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.