| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Shreveport Mudbugs | NAHL | 50 | 1 | 15 | 16 | 0.320 | 0.1176 | 0.1147 | 0.3378 | 0.3294 |
| 2017-18 | Shreveport Mudbugs | NAHL | 60 | 4 | 28 | 32 | 0.533 | 0.1959 | 0.1813 | 0.5629 | 0.5211 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Aurora | D3 | NCHA | — | 28 | 4 | 21 | 25 | 0.893 |
| 2020-21 | Alaska Anchorage | D1 | WCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Alaska Anchorage | D1 | WCHA | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Alaska Anchorage | D1 | WCHA | FR | 23 | 1 | 1 | 2 | 0.087 |
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.