| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Prince George Spruce Kings | BCHL | 48 | 7 | 15 | 22 | 0.458 | 0.1766 | 0.1839 | 0.6670 | 0.6946 |
| 2013-14 | Prince George Spruce Kings | BCHL | 58 | 13 | 42 | 55 | 0.948 | 0.3654 | 0.3636 | 1.3801 | 1.3735 |
| 2014-15 | Prince George Spruce Kings | BCHL | 58 | 21 | 46 | 67 | 1.155 | 0.4451 | 0.4222 | 1.6812 | 1.5947 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Alaska Anchorage | D1 | WCHA | SR | 33 | 7 | 3 | 10 | 0.303 |
| 2017-18 | Alaska Anchorage | D1 | WCHA | JR | 24 | 4 | 7 | 11 | 0.458 |
| 2016-17 | Alaska Anchorage | D1 | WCHA | SO | 27 | 2 | 6 | 8 | 0.296 |
| 2015-16 | Alaska Anchorage | D1 | WCHA | FR | 30 | 2 | 10 | 12 | 0.400 |
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.