| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Cedar Rapids RoughRiders | USHL | 46 | 0 | 5 | 5 | 0.109 | 0.0641 | 0.0705 | 0.3265 | 0.3592 |
| 2011-12 | Cedar Rapids RoughRiders | USHL | 55 | 5 | 20 | 25 | 0.455 | 0.2681 | 0.2824 | 1.3650 | 1.4378 |
| 2012-13 | Cedar Rapids RoughRiders | USHL | 58 | 6 | 25 | 31 | 0.534 | 0.3153 | 0.3153 | 1.6053 | 1.6056 |
| 2019-20 | Heilbronner Falken | DEL2 | 51 | 12 | 44 | 56 | 1.098 | 1.4709 | 1.4709 | 1.9703 | 1.9703 |
| 2020-21 | Heilbronner Falken | DEL2 | 2 | 0 | 3 | 3 | 1.500 | 2.0094 | 2.0094 | 2.6916 | 2.6916 |
| 2021-22 | Tölzer Löwen | DEL2 | 49 | 6 | 29 | 35 | 0.714 | 0.9569 | 0.9993 | 1.2817 | 1.3385 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Nebraska Omaha | D1 | NCHC | SR | 32 | 3 | 18 | 21 | 0.656 |
| 2015-16 | Nebraska Omaha | D1 | NCHC | JR | 33 | 3 | 11 | 14 | 0.424 |
| 2014-15 | Nebraska Omaha | D1 | NCHC | SO | 38 | 5 | 16 | 21 | 0.553 |
| 2013-14 | Nebraska Omaha | D1 | NCHC | FR | 33 | 4 | 17 | 21 | 0.636 |
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.