| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Prince George Spruce Kings | BCHL | 8 | 1 | 0 | 1 | 0.125 | 0.0482 | 0.0518 | 0.1821 | 0.1958 |
| 2017-18 | Prince George Spruce Kings | BCHL | 47 | 7 | 12 | 19 | 0.404 | 0.1558 | 0.1600 | 0.5891 | 0.6050 |
| 2018-19 | Prince George Spruce Kings | BCHL | 55 | 6 | 12 | 18 | 0.327 | 0.1261 | 0.1227 | 0.4769 | 0.4641 |
| 2019-20 | Prince George Spruce Kings | BCHL | 24 | 8 | 16 | 24 | 1.000 | 0.3853 | 0.3853 | 1.4571 | 1.4571 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Alaska Anchorage | D1 | WCHA | — | 0 | 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.