| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Buffalo | USHS-MN | 19 | 4 | 4 | 8 | 0.421 | 0.1134 | 0.1134 | 0.1023 | 0.1023 |
| 2021-22 | Buffalo | USHS-MN | 26 | 4 | 5 | 9 | 0.346 | 0.0932 | 0.0932 | 0.0841 | 0.0841 |
| 2022-23 | Buffalo | USHS-MN | 25 | 8 | 10 | 18 | 0.720 | 0.1938 | 0.1938 | 0.1749 | 0.1749 |
| 2023-24 | Louisiana Drillers | NA3HL | 44 | 24 | 35 | 59 | 1.341 | 0.3084 | 0.3086 | 0.4248 | 0.4250 |
| 2024-25 | Louisiana Drillers | NA3HL | 46 | 26 | 41 | 67 | 1.456 | 0.3350 | 0.3178 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | D3 | MIAC | — | 3 | 0 | 0 | 0 | 0.000 |
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.