| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Wichita Falls Wildcats | NAHL | 48 | 7 | 16 | 23 | 0.479 | 0.1779 | 0.1871 | 0.5074 | 0.5336 |
| 2016-17 | Wichita Falls Wildcats | NAHL | 56 | 23 | 22 | 45 | 0.804 | 0.2984 | 0.2976 | 0.8509 | 0.8486 |
| 2017-18 | Shreveport Mudbugs | NAHL | 57 | 17 | 26 | 43 | 0.754 | 0.2801 | 0.2655 | 0.7988 | 0.7571 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Geneseo | D3 | SUNYAC | SR | 27 | 4 | 6 | 10 | 0.370 |
| 2019-20 | SUNY Geneseo | D3 | — | SO | 13 | 1 | 7 | 8 | 0.615 |
| 2018-19 | SUNY Geneseo | D3 | — | FR | 27 | 5 | 10 | 15 | 0.556 |
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.