| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Mississauga Chargers | OJHL | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Toronto Patriots | OJHL | 2 | 0 | 1 | 1 | 0.500 | 0.1226 | 0.1306 | 0.3443 | 0.3669 |
| 2013-14 | Trenton Golden Hawks | OJHL | 52 | 1 | 25 | 26 | 0.500 | 0.1226 | 0.1244 | 0.3443 | 0.3493 |
| 2014-15 | Trenton Golden Hawks | OJHL | 51 | 17 | 35 | 52 | 1.020 | 0.2499 | 0.2406 | 0.7020 | 0.6759 |
| 2015-16 | Lloydminster Bobcats | AJHL | 59 | 13 | 32 | 45 | 0.763 | 0.2558 | 0.2361 | 0.7058 | 0.6513 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Elmira | D1 | UCHC | SR | 24 | 6 | 13 | 19 | 0.792 |
| 2019-20 | Elmira | D3 | UCHC | — | 24 | 6 | 13 | 19 | 0.792 |
| 2018-19 | Sacred Heart | D1 | AHA | JR | 2 | 0 | 1 | 1 | 0.500 |
| 2017-18 | Sacred Heart | D1 | AHA | SR | 27 | 0 | 3 | 3 | 0.111 |
| 2016-17 | Sacred Heart | D1 | AHA | JR | 6 | 0 | 0 | 0 | 0.000 |
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.