| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Texas Jr. Brahmas | NA3HL | 44 | 13 | 9 | 22 | 0.500 | 0.0553 | 0.0553 | 0.1584 | 0.1584 |
| 2020-21 | Texas Jr. Brahmas | NA3HL | 40 | 20 | 19 | 39 | 0.975 | 0.1078 | 0.1078 | — | — |
| 2021-22 | Texas Jr. Brahmas | NA3HL | 23 | 17 | 13 | 30 | 1.304 | 0.1443 | 0.1420 | — | — |
| 2022-23 | Maine Nordiques | NAHL | 20 | 3 | 3 | 6 | 0.300 | 0.1066 | 0.1014 | 0.3150 | 0.2997 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | GR | 12 | 6 | 4 | 10 | 0.833 |
| 2024-25 | Curry | D3 | CNE | SR | 11 | 4 | 1 | 5 | 0.455 |
| 2023-24 | Curry | D3 | CNE | JR | 17 | 2 | 1 | 3 | 0.176 |
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.