| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Wichita Falls Wildcats | NAHL | 4 | 0 | 2 | 2 | 0.500 | 0.1857 | 0.2099 | 0.5294 | 0.5985 |
| 2014-15 | Amarillo Wranglers | NAHL | 26 | 1 | 2 | 3 | 0.115 | 0.0428 | 0.0461 | 0.1222 | 0.1317 |
| 2015-16 | — | NAHL | 42 | 1 | 6 | 7 | 0.167 | 0.0619 | 0.0640 | 0.1765 | 0.1825 |
| 2016-17 | Aberdeen Wings | NAHL | 56 | 2 | 8 | 10 | 0.179 | 0.0663 | 0.0649 | 0.1891 | 0.1852 |
| 2017-18 | Aberdeen Wings | NAHL | 59 | 1 | 18 | 19 | 0.322 | 0.1196 | 0.1112 | 0.3409 | 0.3171 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Norbert | D3 | NCHA | SR | 21 | 0 | 3 | 3 | 0.143 |
| 2020-21 | St. Norbert | D3 | NCHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | St. Norbert | D3 | NCHA | SO | 13 | 0 | 2 | 2 | 0.154 |
| 2018-19 | St. Norbert | D3 | NCHA | FR | 1 | 0 | 1 | 1 | 1.000 |
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.