| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Shreveport Mudbugs | NAHL | 48 | 5 | 4 | 9 | 0.188 | 0.0689 | 0.0741 | 0.1979 | 0.2127 |
| 2017-18 | Shreveport Mudbugs | NAHL | 47 | 8 | 9 | 17 | 0.362 | 0.1329 | 0.1363 | 0.3818 | 0.3915 |
| 2018-19 | Shreveport Mudbugs | NAHL | 49 | 14 | 24 | 38 | 0.775 | 0.2849 | 0.2794 | 0.8185 | 0.8026 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Adrian | D3 | NCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Adrian | D3 | NCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Denver | D1 | NCHC | FR | 3 | 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.