| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Lincoln Stars | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | New Jersey Jr. Titans | NAHL | 40 | 21 | 15 | 36 | 0.900 | 0.3566 | 0.3566 | 0.9449 | 0.9449 |
| 2021-22 | — | USHL | 54 | 14 | 12 | 26 | 0.481 | 0.2960 | 0.2935 | 1.4186 | 1.4065 |
| 2022-23 | — | USHL | 51 | 19 | 19 | 38 | 0.745 | 0.4580 | 0.4303 | 2.1952 | 2.0624 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Notre Dame | D1 | BigTen | JR | 37 | 17 | 17 | 34 | 0.919 |
| 2024-25 | Michigan | D1 | BigTen | — | 33 | 11 | 11 | 22 | 0.667 |
| 2023-24 | Colorado College | D1 | NCHC | — | 37 | 6 | 13 | 19 | 0.513 |
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.