| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Calgary Mustangs | AJHL | 42 | 17 | 18 | 35 | 0.833 | 0.2783 | 0.3061 | 0.7736 | 0.8510 |
| 2011-12 | — | AJHL | 35 | 4 | 7 | 11 | 0.314 | 0.1050 | 0.1102 | 0.2918 | 0.3062 |
| 2012-13 | — | AJHL | 57 | 15 | 23 | 38 | 0.667 | 0.2227 | 0.2222 | 0.6189 | 0.6176 |
| 2013-14 | — | MJHL | 54 | 16 | 45 | 61 | 1.130 | 0.3196 | 0.3061 | 0.7118 | 0.6817 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Fredonia | D3 | — | FR | 20 | 5 | 4 | 9 | 0.450 |
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.