| 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 | 0.2795 | 0.3075 | 0.7711 | 0.8482 |
| 2011-12 | — | AJHL | 35 | 4 | 7 | 11 | 0.314 | 0.1054 | 0.1106 | 0.2909 | 0.3052 |
| 2012-13 | — | AJHL | 57 | 15 | 23 | 38 | 0.667 | 0.2236 | 0.2231 | 0.6170 | 0.6157 |
| 2013-14 | — | MJHL | 54 | 16 | 45 | 61 | 1.130 | 0.2174 | 0.2082 | 0.7123 | 0.6822 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Fredonia | D3 | SUNYAC | 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.