| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Drumheller Dragons | AJHL | 58 | 8 | 6 | 14 | 0.241 | 0.0810 | 0.0863 | 0.2237 | 0.2383 |
| 2017-18 | Drumheller Dragons | AJHL | 58 | 10 | 23 | 33 | 0.569 | 0.1908 | 0.1925 | 0.5273 | 0.5321 |
| 2018-19 | Drumheller Dragons | AJHL | 60 | 25 | 29 | 54 | 0.900 | 0.3019 | 0.2900 | 0.8341 | 0.8012 |
| 2019-20 | Drumheller Dragons | AJHL | 54 | 36 | 27 | 63 | 1.167 | 0.3913 | 0.3913 | 1.0813 | 1.0813 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Nebraska Omaha | D1 | NCHC | — | 36 | 13 | 12 | 25 | 0.694 |
| 2023-24 | Alaska Fairbanks | D1 | — | — | 33 | 13 | 20 | 33 | 1.000 |
| 2022-23 | Alaska Fairbanks | D1 | — | — | 33 | 13 | 10 | 23 | 0.697 |
| 2021-22 | Alaska Fairbanks | D1 | — | — | 31 | 10 | 14 | 24 | 0.774 |
| 2020-21 | Alaska Fairbanks | 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.