| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Omaha Lancers | USHL | 19 | 0 | 1 | 1 | 0.053 | 0.0323 | 0.0332 | 0.1550 | 0.1592 |
| 2013-14 | Berani Zlin U20 | USHL-Style-Czech | 36 | 10 | 18 | 28 | 0.778 | 0.2446 | 0.2372 | 0.8560 | 0.8302 |
| 2014-15 | Sioux Falls Stampede | USHL | 59 | 8 | 12 | 20 | 0.339 | 0.2084 | 0.1941 | 0.9988 | 0.9301 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Nebraska Omaha | D1 | NCHC | — | 27 | 1 | 2 | 3 | 0.111 |
| 2017-18 | Nebraska Omaha | D1 | NCHC | — | 34 | 1 | 8 | 9 | 0.265 |
| 2016-17 | Nebraska Omaha | D1 | NCHC | — | 24 | 0 | 1 | 1 | 0.042 |
| 2015-16 | Nebraska Omaha | D1 | NCHC | — | 32 | 0 | 4 | 4 | 0.125 |
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.