| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | — | BCHL | 55 | 4 | 23 | 27 | 0.491 | 0.1891 | 0.2115 | 0.7144 | 0.7989 |
| 2015-16 | — | BCHL | 50 | 12 | 28 | 40 | 0.800 | 0.3082 | 0.3281 | 1.1642 | 1.2396 |
| 2017-18 | — | WHL | 69 | 14 | 52 | 66 | 0.957 | 0.4653 | 0.4363 | 2.3470 | 2.2005 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Cloud State | D1 | NCHC | FR | 36 | 1 | 11 | 12 | 0.333 |
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.