| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | U.S. National U17 Team | NTDP-U18 | 53 | 7 | 13 | 20 | 0.377 | 0.2805 | 0.2934 | 1.4082 | 1.4731 |
| 2011-12 | U.S. National U18 Team | NTDP-U18 | 60 | 6 | 21 | 27 | 0.450 | 0.3345 | 0.3327 | 1.6791 | 1.6703 |
| 2012-13 | Omaha Lancers | USHL | 46 | 9 | 15 | 24 | 0.522 | 0.3078 | 0.3123 | 1.5669 | 1.5899 |
| 2018-19 | Karlskrona HK | Allsvenskan | 30 | 3 | 8 | 11 | 0.367 | 0.9168 | 0.9504 | 3.4403 | 3.5664 |
| 2022-23 | Eisbären Regensburg | DEL2 | 23 | 11 | 7 | 18 | 0.783 | 1.0484 | 0.9670 | 1.4043 | 1.2953 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SR | 42 | 12 | 11 | 23 | 0.548 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | JR | 32 | 4 | 6 | 10 | 0.312 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | SO | 40 | 7 | 11 | 18 | 0.450 |
| 2013-14 | Minnesota Duluth | D1 | NCHC | FR | 35 | 14 | 13 | 27 | 0.771 |
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.