| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | West Kelowna Warriors | BCHL | 4 | 2 | 1 | 3 | 0.750 | 0.2890 | 0.3236 | 1.0915 | 1.2222 |
| 2012-13 | West Kelowna Warriors | BCHL | 46 | 5 | 23 | 28 | 0.609 | 0.2345 | 0.2515 | 0.8858 | 0.9500 |
| 2013-14 | West Kelowna Warriors | BCHL | 54 | 5 | 29 | 34 | 0.630 | 0.2426 | 0.2490 | 0.9163 | 0.9404 |
| 2019-20 | — | Allsvenskan | 45 | 2 | 18 | 20 | 0.444 | 1.1110 | 1.1110 | 4.1693 | 4.1693 |
| 2020-21 | IF Björklöven | Allsvenskan | 29 | 2 | 3 | 5 | 0.172 | 0.4310 | 0.4310 | 1.6174 | 1.6174 |
| 2021-22 | IF Björklöven | Allsvenskan | 22 | 1 | 6 | 7 | 0.318 | 0.7955 | 0.7485 | 2.9853 | 2.8091 |
| 2022-23 | IF Björklöven | Allsvenskan | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Denver | D1 | NCHC | SR | 32 | 6 | 5 | 11 | 0.344 |
| 2016-17 | Denver | D1 | NCHC | JR | 43 | 3 | 10 | 13 | 0.302 |
| 2015-16 | Denver | D1 | NCHC | SO | 39 | 2 | 6 | 8 | 0.205 |
| 2014-15 | Denver | D1 | NCHC | FR | 40 | 1 | 9 | 10 | 0.250 |
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.