| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Houston Bulls | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Merritt Centennials | BCHL | 47 | 3 | 7 | 10 | 0.213 | 0.0820 | 0.0839 | 0.3101 | 0.3173 |
| 2023-24 | Lone Star Brahmas | NAHL | 47 | 1 | 8 | 9 | 0.192 | 0.0680 | 0.0678 | 0.2011 | 0.2005 |
| 2024-25 | Lone Star Brahmas | NAHL | 48 | 5 | 13 | 18 | 0.375 | 0.1332 | 0.1258 | 0.3937 | 0.3718 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Boston | D3 | — | FR | 26 | 2 | 4 | 6 | 0.231 |
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.