| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Vernon Vipers | BCHL | 10 | 0 | 1 | 1 | 0.100 | 0.0372 | 0.0410 | 0.1457 | 0.1607 |
| 2012-13 | Vernon Vipers | BCHL | 53 | 4 | 6 | 10 | 0.189 | 0.0703 | 0.0742 | 0.2750 | 0.2903 |
| 2013-14 | — | BCHL | 54 | 8 | 14 | 22 | 0.407 | 0.1518 | 0.1532 | 0.5936 | 0.5992 |
| 2014-15 | — | BCHL | 10 | 2 | 1 | 3 | 0.300 | 0.1118 | 0.1076 | 0.4371 | 0.4209 |
| 2015-16 | Vernon Vipers | BCHL | 21 | 1 | 2 | 3 | 0.143 | 0.0532 | 0.0484 | 0.2082 | 0.1893 |
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.