| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Maryland Black Bears | NAHL | 38 | 6 | 3 | 9 | 0.237 | 0.0938 | 0.0938 | 0.2486 | 0.2486 |
| 2021-22 | Omaha Lancers | USHL | 56 | 4 | 7 | 11 | 0.196 | 0.1207 | 0.1168 | 0.5786 | 0.5601 |
| 2022-23 | Omaha Lancers | USHL | 58 | 6 | 9 | 15 | 0.259 | 0.1590 | 0.1457 | 0.7619 | 0.6979 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ferris State | D1 | CCHA | JR | 29 | 1 | 3 | 4 | 0.138 |
| 2024-25 | Michigan | D1 | BigTen | — | 20 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Michigan | D1 | BigTen | — | 25 | 1 | 0 | 1 | 0.040 |
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.