| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Amarillo Bulls | NAHL | 2 | 0 | 1 | 1 | 0.500 | 0.1777 | 0.1901 | 0.5274 | 0.5643 |
| 2013-14 | Amarillo Bulls | NAHL | 35 | 0 | 3 | 3 | 0.086 | 0.0304 | 0.0310 | 0.0904 | 0.0922 |
| 2014-15 | — | NAHL | 33 | 2 | 5 | 7 | 0.212 | 0.0754 | 0.0729 | 0.2237 | 0.2164 |
| 2015-16 | Jersey Hitmen | USPHL-Premier-Classic | 20 | 2 | 2 | 4 | 0.200 | 0.0561 | 0.0526 | 0.1645 | 0.1544 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Milwaukee School of Engineering | D1 | NCHA | SR | 11 | 0 | 2 | 2 | 0.182 |
| 2020-21 | Milwaukee School of Engineering | D3 | NCHA | SR | 11 | 0 | 2 | 2 | 0.182 |
| 2019-20 | Milwaukee School of Engineering | D1 | NCHA | JR | 15 | 1 | 2 | 3 | 0.200 |
| 2019-20 | Milwaukee School of Engineering | D3 | NCHA | JR | 15 | 1 | 2 | 3 | 0.200 |
| 2018-19 | Milwaukee School of Engineering | D1 | NCHA | SO | 24 | 0 | 7 | 7 | 0.292 |
| 2018-19 | Milwaukee School of Engineering | D3 | NCHA | SO | 24 | 0 | 7 | 7 | 0.292 |
| 2016-17 | Milwaukee School of Engineering | D3 | NCHA | FR | 24 | 1 | 2 | 3 | 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.