| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | U.S. National U17 Team | NTDP-U18 | 16 | 7 | 6 | 13 | 0.812 | 0.6039 | 0.6312 | 3.0318 | 3.1687 |
| 2009-10 | U.S. National U18 Team | NTDP-U18 | 39 | 13 | 24 | 37 | 0.949 | 0.7052 | 0.6993 | 3.5400 | 3.5105 |
| 2018-19 | Metallurg Magnitogorsk | KHL | 37 | 3 | 13 | 16 | 0.432 | 1.0810 | 1.1493 | 5.9579 | 6.3344 |
| 2021-22 | Sibir Novosibirsk | KHL | 49 | 10 | 16 | 26 | 0.531 | 1.3265 | 1.1925 | 7.3110 | 6.5722 |
| 2022-23 | HV71 | SHL | 25 | 5 | 13 | 18 | 0.720 | 1.8000 | 1.5287 | 9.3950 | 7.9789 |
| 2023-24 | HV71 | SHL | 39 | 13 | 18 | 31 | 0.795 | 1.9873 | 1.5594 | 10.3723 | 8.1392 |
| 2024-25 | Linköping HC | SHL | 43 | 8 | 14 | 22 | 0.512 | 1.2790 | 0.9287 | 6.6757 | 4.8476 |
| 2025-26 | Linköping HC | SHL | 50 | 11 | 17 | 28 | 0.560 | 1.4000 | 1.4000 | 7.3072 | 7.3072 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Denver | D1 | WCHA-orig | JR | 39 | 14 | 20 | 34 | 0.872 |
| 2011-12 | Denver | D1 | WCHA-orig | SO | 43 | 13 | 28 | 41 | 0.954 |
| 2010-11 | Denver | D1 | WCHA-orig | FR | 33 | 7 | 11 | 18 | 0.545 |
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.