| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Brampton Capitals | OJHL | 8 | 0 | 1 | 1 | 0.125 | 0.0306 | 0.0321 | 0.0861 | 0.0902 |
| 2012-13 | Mississauga Chargers | OJHL | 48 | 9 | 12 | 21 | 0.438 | 0.1072 | 0.1070 | 0.3012 | 0.3006 |
| 2013-14 | Oakville Blades | OJHL | 54 | 18 | 32 | 50 | 0.926 | 0.2269 | 0.2149 | 0.6375 | 0.6038 |
| 2014-15 | Oakville Blades | OJHL | 34 | 11 | 24 | 35 | 1.029 | 0.2523 | 0.2259 | 0.7087 | 0.6346 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | SUNY Plattsburgh | D3 | SUNYAC | SR | 26 | 5 | 7 | 12 | 0.462 |
| 2017-18 | SUNY Plattsburgh | D3 | SUNYAC | JR | 26 | 3 | 7 | 10 | 0.385 |
| 2016-17 | SUNY Plattsburgh | D3 | SUNYAC | SO | 25 | 3 | 4 | 7 | 0.280 |
| 2015-16 | SUNY Plattsburgh | D3 | SUNYAC | FR | 17 | 2 | 7 | 9 | 0.529 |
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.