| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Pickering Panthers | OJHL | 49 | 5 | 6 | 11 | 0.225 | 0.0627 | 0.0652 | 0.1549 | 0.1612 |
| 2011-12 | Pickering Panthers | OJHL | 45 | 7 | 28 | 35 | 0.778 | 0.2173 | 0.2165 | 0.5368 | 0.5348 |
| 2012-13 | North York Rangers | OJHL | 55 | 22 | 14 | 36 | 0.654 | 0.1829 | 0.1731 | 0.4517 | 0.4275 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Buffalo State | D3 | SUNYAC | SR | 26 | 10 | 10 | 20 | 0.769 |
| 2015-16 | Buffalo State | D3 | SUNYAC | JR | 26 | 15 | 15 | 30 | 1.154 |
| 2014-15 | Buffalo State | D3 | SUNYAC | SO | 27 | 6 | 12 | 18 | 0.667 |
| 2013-14 | Buffalo State | D3 | SUNYAC | FR | 24 | 6 | 15 | 21 | 0.875 |
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.