| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Victoria Grizzlies | BCHL | 46 | 3 | 4 | 7 | 0.152 | 0.0592 | 0.0604 | 0.2220 | 0.2267 |
| 2011-12 | — | AJHL | 37 | 4 | 6 | 10 | 0.270 | 0.0903 | 0.0876 | 0.2509 | 0.2435 |
| 2012-13 | Olds Grizzlys | AJHL | 35 | 6 | 3 | 9 | 0.257 | 0.0859 | 0.0790 | 0.2387 | 0.2194 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | St. Thomas | D3 | — | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2013-14 | St. Thomas | D3 | — | FR | 3 | 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.