| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NAHL | 13 | 0 | 1 | 1 | 0.077 | 0.0283 | 0.0295 | 0.0812 | 0.0846 |
| 2022-23 | Houston Bulls | NAHL | 52 | 2 | 8 | 10 | 0.192 | 0.0707 | 0.0702 | 0.2030 | 0.2014 |
| 2023-24 | Houston Bulls | NAHL | 53 | 1 | 7 | 8 | 0.151 | 0.0554 | 0.0523 | 0.1593 | 0.1505 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of New England | D3 | CNE | SO | 4 | 0 | 0 | 0 | 0.000 |
| 2024-25 | University of New England | D3 | CNE | — | 8 | 0 | 4 | 4 | 0.500 |
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.