| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Georgetown Raiders | OJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0601 | 0.0685 | 0.1369 | 0.1561 |
| 2011-12 | Vaughan Vipers | OJHL | 42 | 14 | 25 | 39 | 0.929 | 0.2790 | 0.3057 | 0.6356 | 0.6965 |
| 2012-13 | Georgetown Raiders | OJHL | 38 | 22 | 20 | 42 | 1.105 | 0.3320 | 0.3473 | 0.7566 | 0.7914 |
| 2013-14 | Georgetown Raiders | OJHL | 53 | 38 | 45 | 83 | 1.566 | 0.4704 | 0.4680 | 1.0719 | 1.0665 |
| 2014-15 | Georgetown Raiders | OJHL | 52 | 41 | 63 | 104 | 2.000 | 0.6008 | 0.5667 | 1.3690 | 1.2912 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Sacred Heart | D1 | AHA | SR | 33 | 2 | 4 | 6 | 0.182 |
| 2017-18 | Sacred Heart | D1 | AHA | JR | 33 | 6 | 11 | 17 | 0.515 |
| 2016-17 | Sacred Heart | D1 | AHA | SO | 31 | 9 | 6 | 15 | 0.484 |
| 2015-16 | Sacred Heart | D1 | AHA | — | 0 | 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.