| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Shreveport Mudbugs | NAHL | 53 | 7 | 6 | 13 | 0.245 | 0.0972 | 0.1052 | 0.2575 | 0.2786 |
| 2023-24 | Cedar Rapids RoughRiders | USHL | 55 | 6 | 8 | 14 | 0.255 | 0.1564 | 0.1546 | 0.7498 | 0.7412 |
| 2024-25 | Sioux City Musketeers | USHL | 56 | 7 | 10 | 17 | 0.304 | 0.1866 | 0.1749 | 0.8945 | 0.8386 |
| 2025-26 | Sioux City Musketeers | USHL | 29 | 5 | 6 | 11 | 0.379 | 0.2332 | 0.2074 | 1.1175 | 0.9937 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan | D1 | BigTen | FR | 17 | 3 | 0 | 3 | 0.176 |
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.