| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Toronto Patriots | OJHL | 44 | 13 | 13 | 26 | 0.591 | 0.1448 | 0.1463 | 0.4068 | 0.4110 |
| 2009-10 | Toronto Patriots | OJHL | 47 | 14 | 14 | 28 | 0.596 | 0.1460 | 0.1398 | 0.4101 | 0.3928 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Cortland | D3 | SUNYAC | SR | 9 | 0 | 1 | 1 | 0.111 |
| 2012-13 | SUNY Cortland | D3 | SUNYAC | JR | 5 | 0 | 0 | 0 | 0.000 |
| 2011-12 | Johnson & Wales | D3 | CNE | — | 21 | 0 | 2 | 2 | 0.095 |
| 2010-11 | Johnson & Wales | D3 | CNE | — | 23 | 2 | 7 | 9 | 0.391 |
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.