| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Düsseldorfer EG U18 | DNL | 34 | 15 | 19 | 34 | 1.000 | 0.1542 | 0.1684 | 0.6470 | 0.7067 |
| 2012-13 | Jungadler Mannheim U18 | DNL | 36 | 26 | 46 | 72 | 2.000 | 0.3084 | 0.3225 | 1.2940 | 1.3530 |
| 2013-14 | Wenatchee Wild | NAHL | 49 | 24 | 25 | 49 | 1.000 | 0.3962 | 0.4203 | 1.0499 | 1.1138 |
| 2014-15 | Sioux Falls Stampede | USHL | 52 | 19 | 15 | 34 | 0.654 | 0.4019 | 0.3924 | 1.9262 | 1.8807 |
| 2015-16 | Sioux Falls Stampede | USHL | 59 | 30 | 24 | 54 | 0.915 | 0.5626 | 0.5232 | 2.6967 | 2.5077 |
| 2020-21 | Eisbären Berlin | DEL | 38 | 11 | 11 | 22 | 0.579 | 0.6331 | 0.6331 | — | — |
| 2021-22 | — | DEL | 48 | 5 | 6 | 11 | 0.229 | 0.2507 | 0.2776 | — | — |
| 2022-23 | Straubing Tigers | DEL | 51 | 12 | 14 | 26 | 0.510 | 0.5575 | 0.6010 | — | — |
| 2023-24 | Straubing Tigers | DEL | 30 | 8 | 13 | 21 | 0.700 | 0.7655 | 0.7859 | — | — |
| 2024-25 | Kölner Haie | DEL | 51 | 8 | 17 | 25 | 0.490 | 0.5361 | 0.5258 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnesota | D1 | BigTen | — | 37 | 14 | 23 | 37 | 1.000 |
| 2019-20 | Minnesota State | D1 | WCHA | SR | 37 | 14 | 23 | 37 | 1.000 |
| 2018-19 | Minnesota | D1 | BigTen | — | 36 | 14 | 26 | 40 | 1.111 |
| 2018-19 | Minnesota State | D1 | WCHA | JR | 36 | 14 | 26 | 40 | 1.111 |
| 2017-18 | Minnesota | D1 | BigTen | — | 40 | 9 | 28 | 37 | 0.925 |
| 2017-18 | Minnesota State | D1 | WCHA | SO | 40 | 9 | 28 | 37 | 0.925 |
| 2016-17 | Minnesota | D1 | BigTen | — | 39 | 8 | 10 | 18 | 0.462 |
| 2016-17 | Minnesota State | D1 | WCHA | FR | 39 | 8 | 10 | 18 | 0.462 |
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.