| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lone Star Brahmas | NAHL | 30 | 0 | 4 | 4 | 0.133 | 0.0473 | 0.0462 | 0.1400 | 0.1367 |
| 2022-23 | Lone Star Brahmas | NAHL | 52 | 5 | 12 | 17 | 0.327 | 0.1161 | 0.1077 | 0.3432 | 0.3183 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Endicott | D3 | CNE | GR | 25 | 5 | 11 | 16 | 0.640 |
| 2024-25 | Endicott | D3 | CNE | SR | 19 | 0 | 8 | 8 | 0.421 |
| 2023-24 | Endicott | D3 | CNE | JR | 25 | 3 | 10 | 13 | 0.520 |
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.