| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | U.S. National U17 Team | NTDP-U18 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Houston Bulls | NAHL | 60 | 18 | 31 | 49 | 0.817 | 0.3236 | 0.3584 | 1.4731 | 1.5712 |
| 2022-23 | Lincoln Stars | USHL | 57 | 5 | 14 | 19 | 0.333 | 0.2049 | 0.2079 | 0.9820 | 0.9964 |
| 2024-25 | Youngstown Phantoms | USHL | 56 | 24 | 29 | 53 | 0.946 | 0.5818 | 0.5317 | 2.7883 | 2.5483 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | AHA | SO | 28 | 15 | 17 | 32 | 1.143 |
| 2023-24 | Northern Michigan | D1 | CCHA | — | 26 | 4 | 5 | 9 | 0.346 |
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.