| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | King Rebellion | OJHL | 8 | 1 | 0 | 1 | 0.125 | 0.0306 | 0.0336 | 0.0860 | 0.0944 |
| 2010-11 | King Rebellion | OJHL | 45 | 0 | 10 | 10 | 0.222 | 0.0545 | 0.0573 | 0.1528 | 0.1607 |
| 2011-12 | Vaughan Vipers | OJHL | 13 | 1 | 0 | 1 | 0.077 | 0.0188 | 0.0189 | 0.0529 | 0.0533 |
| 2012-13 | Caledon Admirals | OJHL | 55 | 2 | 20 | 22 | 0.400 | 0.0980 | 0.0938 | 0.2751 | 0.2634 |
| 2013-14 | — | OJHL | 52 | 3 | 22 | 25 | 0.481 | 0.1178 | 0.1068 | 0.3306 | 0.2996 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | SUNY Potsdam | D3 | SUNYAC | SR | 26 | 3 | 18 | 21 | 0.808 |
| 2016-17 | SUNY Potsdam | D3 | SUNYAC | JR | 16 | 2 | 3 | 5 | 0.312 |
| 2015-16 | SUNY Potsdam | D3 | SUNYAC | SO | 26 | 1 | 7 | 8 | 0.308 |
| 2014-15 | SUNY Potsdam | D3 | SUNYAC | FR | 23 | 2 | 5 | 7 | 0.304 |
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.