| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Mississauga Chargers | OJHL | 7 | 0 | 1 | 1 | 0.143 | 0.0399 | 0.0443 | 0.0986 | 0.1094 |
| 2013-14 | — | CCHL | 37 | 4 | 2 | 6 | 0.162 | 0.0463 | 0.0491 | 0.1256 | 0.1333 |
| 2014-15 | Lloydminster Bobcats | AJHL | 58 | 12 | 23 | 35 | 0.603 | 0.2015 | 0.2042 | 0.5601 | 0.5676 |
| 2015-16 | Hawkesbury Hawks | CCHL | 60 | 18 | 24 | 42 | 0.700 | 0.1998 | 0.1931 | 0.5419 | 0.5238 |
| 2016-17 | Hawkesbury Hawks | CCHL | 59 | 17 | 53 | 70 | 1.186 | 0.3386 | 0.3095 | 0.9184 | 0.8394 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Utica | D3 | UCHC | GR | 27 | 10 | 15 | 25 | 0.926 |
| 2020-21 | Utica | D3 | UCHC | SR | 9 | 8 | 5 | 13 | 1.444 |
| 2019-20 | Utica | D3 | UCHC | JR | 19 | 3 | 5 | 8 | 0.421 |
| 2018-19 | Utica | D3 | UCHC | SO | 24 | 5 | 20 | 25 | 1.042 |
| 2017-18 | Utica | D3 | UCHC | FR | 19 | 4 | 13 | 17 | 0.895 |
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.