| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Omaha Lancers | USHL | 56 | 11 | 21 | 32 | 0.571 | 0.3371 | 0.3418 | 1.7161 | 1.7399 |
| 2019-20 | Dinamo Riga | KHL | 56 | 2 | 10 | 12 | 0.214 | 0.5357 | 0.5357 | 2.9528 | 2.9528 |
| 2020-21 | ERC Ingolstadt | DEL | 36 | 2 | 13 | 15 | 0.417 | 1.0417 | 1.0417 | 3.5329 | 3.5329 |
| 2021-22 | ERC Ingolstadt | DEL | 44 | 6 | 21 | 27 | 0.614 | 1.5340 | 1.4558 | 5.2022 | 4.9370 |
| 2022-23 | ERC Ingolstadt | DEL | 35 | 3 | 13 | 16 | 0.457 | 1.1427 | 1.0509 | 3.8754 | 3.5640 |
| 2023-24 | Schwenninger Wild Wings | DEL | 51 | 6 | 19 | 25 | 0.490 | 1.2255 | 1.0641 | 4.1560 | 3.6086 |
| 2024-25 | Schwenninger Wild Wings | DEL | 52 | 3 | 26 | 29 | 0.558 | 1.3942 | 1.1465 | 4.7283 | 3.8883 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Minnesota | D1 | BigTen | SR | 39 | 2 | 9 | 11 | 0.282 |
| 2013-14 | Minnesota | D1 | BigTen | JR | 39 | 3 | 15 | 18 | 0.462 |
| 2012-13 | Minnesota | D1 | WCHA-orig | SO | 40 | 8 | 11 | 19 | 0.475 |
| 2011-12 | Minnesota | D1 | WCHA-orig | FR | 41 | 4 | 9 | 13 | 0.317 |
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.