| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Prince George Spruce Kings | BCHL | 23 | 0 | 3 | 3 | 0.130 | 0.0502 | 0.0566 | 0.1898 | 0.2141 |
| 2012-13 | — | BCHL | 28 | 0 | 3 | 3 | 0.107 | 0.0413 | 0.0446 | 0.1559 | 0.1685 |
| 2013-14 | Battlefords North Stars | SJHL | 50 | 5 | 22 | 27 | 0.540 | 0.1383 | 0.1445 | 0.4071 | 0.4254 |
| 2014-15 | Surrey Eagles | BCHL | 40 | 11 | 12 | 23 | 0.575 | 0.2215 | 0.2188 | 0.8368 | 0.8265 |
| 2015-16 | Vernon Vipers | BCHL | 36 | 6 | 12 | 18 | 0.500 | 0.1926 | 0.1799 | 0.7277 | 0.6798 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Buffalo State | D3 | SUNYAC | — | 5 | 0 | 1 | 1 | 0.200 |
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.