| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Huntsville Otters | OJHL | 46 | 5 | 10 | 15 | 0.326 | 0.0799 | 0.0863 | 0.2245 | 0.2426 |
| 2010-11 | Huntsville Otters | OJHL | 50 | 14 | 25 | 39 | 0.780 | 0.1912 | 0.1977 | 0.5370 | 0.5552 |
| 2011-12 | Collingwood Blues | OJHL | 46 | 16 | 21 | 37 | 0.804 | 0.1971 | 0.1951 | 0.5538 | 0.5481 |
| 2012-13 | Collingwood Blues | OJHL | 55 | 17 | 31 | 48 | 0.873 | 0.2139 | 0.2010 | 0.6009 | 0.5648 |
| 2014-15 | Laurentian Univ. | USports-M | 18 | 3 | 3 | 6 | 0.333 | 0.1758 | 0.1834 | 0.9769 | 1.0190 |
| 2015-16 | Laurentian Univ. | USports-M | 25 | 2 | 4 | 6 | 0.240 | 0.1266 | 0.1258 | 0.7034 | 0.6991 |
| 2016-17 | Laurentian Univ. | USports-M | 25 | 2 | 10 | 12 | 0.480 | 0.2532 | 0.2392 | 1.4069 | 1.3291 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Plattsburgh | D3 | SUNYAC | FR | 7 | 1 | 1 | 2 | 0.286 |
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.