| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Albert Lea Thunder | NAHL | 17 | 1 | 4 | 5 | 0.294 | 0.1045 | 0.1067 | 0.3088 | 0.3152 |
| 2010-11 | — | NAHL | 32 | 0 | 3 | 3 | 0.094 | 0.0333 | 0.0323 | 0.0985 | 0.0955 |
| 2011-12 | — | NAHL | 48 | 2 | 6 | 8 | 0.167 | 0.0592 | 0.0545 | 0.1750 | 0.1611 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nebraska Omaha | D1 | NCHC | — | 38 | 19 | 20 | 39 | 1.026 |
| 2020-21 | Nebraska Omaha | D1 | NCHC | JR | 26 | 13 | 9 | 22 | 0.846 |
| 2019-20 | Nebraska Omaha | D1 | NCHC | SO | 32 | 16 | 11 | 27 | 0.844 |
| 2018-19 | Nebraska Omaha | D1 | NCHC | FR | 35 | 9 | 18 | 27 | 0.771 |
| 2013-14 | Wisconsin-Eau Claire | D3 | BigTen | SO | 1 | 0 | 0 | 0 | 0.000 |
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.