| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Anoka High | USHS-MN | 23 | 9 | 16 | 25 | 1.087 | 0.1376 | 0.1437 | 0.2640 | 0.2757 |
| 2015-16 | Des Moines Buccaneers | USHL | 4 | 1 | 1 | 2 | 0.500 | 0.2949 | 0.3219 | 1.5017 | 1.6393 |
| 2016-17 | Des Moines Buccaneers | USHL | 47 | 14 | 14 | 28 | 0.596 | 0.3514 | 0.3656 | 1.7891 | 1.8616 |
| 2017-18 | Tri-City Americans | WHL | 68 | 17 | 31 | 48 | 0.706 | 0.3434 | 0.3381 | 1.7321 | 1.7053 |
| 2018-19 | Tri-City Americans | WHL | 31 | 12 | 20 | 32 | 1.032 | 0.5022 | 0.4700 | 2.5330 | 2.3708 |
| 2019-20 | Wenatchee Wild | WHL | 62 | 28 | 45 | 73 | 1.177 | 0.5728 | 0.5728 | 2.8890 | 2.8890 |
| 2024-25 | Jukurit | Liiga | 7 | 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.