| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Prince George Spruce Kings | BCHL | 58 | 10 | 32 | 42 | 0.724 | 0.2790 | 0.3175 | 1.0538 | 1.1991 |
| 2011-12 | Prince George Spruce Kings | BCHL | 54 | 29 | 50 | 79 | 1.463 | 0.5637 | 0.6105 | 2.1291 | 2.3057 |
| 2013-14 | Everett Silvertips | WHL | 59 | 16 | 27 | 43 | 0.729 | 0.3546 | 0.3413 | 1.7883 | 1.7210 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Michigan | D1 | CCHA-orig | — | 37 | 6 | 19 | 25 | 0.676 |
| 2012-13 | Michigan Tech | D1 | CCHA | FR | 37 | 6 | 19 | 25 | 0.676 |
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.