| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Huntsville Otters | OJHL | 41 | 2 | 6 | 8 | 0.195 | 0.0545 | 0.0606 | 0.1346 | 0.1498 |
| 2009-10 | Huntsville Otters | OJHL | 55 | 4 | 13 | 17 | 0.309 | 0.0864 | 0.0916 | 0.2133 | 0.2262 |
| 2010-11 | Surrey Eagles | BCHL | 35 | 3 | 1 | 4 | 0.114 | 0.0445 | 0.0458 | 0.1667 | 0.1717 |
| 2011-12 | Surrey Eagles | BCHL | 51 | 0 | 10 | 10 | 0.196 | 0.0763 | 0.0744 | 0.2860 | 0.2789 |
| 2012-13 | — | BCHL | 29 | 1 | 7 | 8 | 0.276 | 0.1074 | 0.0997 | 0.4023 | 0.3734 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Oswego | D3 | — | FR | 7 | 0 | 5 | 5 | 0.714 |
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.