| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Kenai River Brown Bears | NAHL | 26 | 0 | 4 | 4 | 0.154 | 0.0565 | 0.0610 | 0.1623 | 0.1753 |
| 2017-18 | — | NAHL | 45 | 1 | 12 | 13 | 0.289 | 0.1061 | 0.1093 | 0.3049 | 0.3142 |
| 2018-19 | Odessa Jackalopes | NAHL | 55 | 8 | 24 | 32 | 0.582 | 0.2138 | 0.2108 | 0.6141 | 0.6054 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica | D3 | UCHC | — | 29 | 4 | 21 | 25 | 0.862 |
| 2021-22 | Ferris State | D1 | CCHA | JR | 12 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Ferris State | D1 | WCHA | SO | 24 | 0 | 3 | 3 | 0.125 |
| 2019-20 | Ferris State | D1 | WCHA | FR | 31 | 1 | 4 | 5 | 0.161 |
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.