| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | North York Rangers | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | North York Rangers | OJHL | 48 | 9 | 18 | 27 | 0.562 | 0.1572 | 0.1801 | 0.3882 | 0.4447 |
| 2012-13 | Waterloo Black Hawks | USHL | 64 | 8 | 27 | 35 | 0.547 | 0.3483 | 0.3761 | 1.6389 | 1.7698 |
| 2013-14 | Waterloo Black Hawks | USHL | 51 | 10 | 30 | 40 | 0.784 | 0.4994 | 0.5159 | 2.3503 | 2.4280 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Bowling Green | D1 | WCHA | JR | 40 | 8 | 18 | 26 | 0.650 |
| 2015-16 | Bowling Green | D1 | WCHA | SO | 42 | 6 | 17 | 23 | 0.548 |
| 2014-15 | Bowling Green | D1 | WCHA | FR | 39 | 2 | 17 | 19 | 0.487 |
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.