| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Okotoks Oilers | AJHL | 3 | 1 | 1 | 2 | 0.667 | 0.2212 | 0.2571 | 0.6179 | 0.7183 |
| 2016-17 | Penticton Vees | BCHL | 48 | 3 | 20 | 23 | 0.479 | 0.1785 | 0.1992 | 0.6982 | 0.7791 |
| 2017-18 | Penticton Vees | BCHL | 48 | 9 | 38 | 47 | 0.979 | 0.3648 | 0.3895 | 1.4268 | 1.5236 |
| 2024-25 | Djurgårdens IF | Allsvenskan | 50 | 6 | 16 | 22 | 0.440 | 1.1000 | 1.1414 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Nebraska Omaha | D1 | NCHC | — | 35 | 8 | 18 | 26 | 0.743 |
| 2021-22 | Nebraska Omaha | D1 | NCHC | — | 24 | 2 | 6 | 8 | 0.333 |
| 2020-21 | Nebraska Omaha | D1 | NCHC | JR | 23 | 3 | 5 | 8 | 0.348 |
| 2019-20 | North Dakota | D1 | NCHC | SO | 24 | 4 | 7 | 11 | 0.458 |
| 2018-19 | North Dakota | D1 | NCHC | FR | 28 | 0 | 4 | 4 | 0.143 |
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.