| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | St. Louis Bandits | NAHL | 45 | 4 | 5 | 9 | 0.200 | 0.0735 | 0.0819 | — | — |
| 2008-09 | U.S. National U18 Team | NTDP-U18 | 40 | 1 | 4 | 5 | 0.125 | 0.0929 | 0.0895 | 0.4664 | 0.4494 |
| 2019-20 | Eisbären Berlin | DEL | 40 | 1 | 12 | 13 | 0.325 | 0.8125 | 0.8125 | 2.7554 | 2.7554 |
| 2020-21 | Eisbären Berlin | DEL | 38 | 0 | 11 | 11 | 0.289 | 0.7237 | 0.7237 | 2.4544 | 2.4544 |
| 2021-22 | Schwenninger Wild Wings | DEL | 49 | 2 | 23 | 25 | 0.510 | 1.2755 | 1.1109 | 4.3256 | 3.7675 |
| 2022-23 | Schwenninger Wild Wings | DEL | 56 | 4 | 18 | 22 | 0.393 | 0.9823 | 0.8267 | 3.3311 | 2.8034 |
| 2023-24 | Grizzlys Wolfsburg | DEL | 52 | 1 | 14 | 15 | 0.288 | 0.7212 | 0.5700 | 2.4460 | 1.9331 |
| 2024-25 | Grizzlys Wolfsburg | DEL | 51 | 2 | 17 | 19 | 0.372 | 0.9313 | 0.6932 | 3.1581 | 2.3507 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Wisconsin | D1 | WCHA-orig | SR | 42 | 8 | 12 | 20 | 0.476 |
| 2011-12 | Wisconsin | D1 | WCHA-orig | JR | 37 | 3 | 7 | 10 | 0.270 |
| 2010-11 | Wisconsin | D1 | WCHA-orig | SO | 37 | 1 | 10 | 11 | 0.297 |
| 2009-10 | Wisconsin | D1 | BigTen | FR | 41 | 2 | 10 | 12 | 0.293 |
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.