| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Shreveport Mudbugs | NAHL | 48 | 6 | 9 | 15 | 0.312 | 0.1110 | 0.1138 | 0.3281 | 0.3363 |
| 2022-23 | Shreveport Mudbugs | NAHL | 58 | 23 | 28 | 51 | 0.879 | 0.3123 | 0.3048 | 0.9232 | 0.9010 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Utica | D3 | UCHC | GR | 29 | 17 | 19 | 36 | 1.241 |
| 2024-25 | Utica | D3 | UCHC | SR | 31 | 13 | 17 | 30 | 0.968 |
| 2023-24 | Utica | D3 | UCHC | JR | 27 | 6 | 17 | 23 | 0.852 |
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.