| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1229 | 0.1229 | 0.5892 | 0.5892 |
| 2021-22 | — | USHL | 62 | 20 | 29 | 49 | 0.790 | 0.4858 | 0.5152 | 2.3284 | 2.4692 |
| 2022-23 | — | USHL | 57 | 30 | 36 | 66 | 1.158 | 0.7118 | 0.7178 | 3.4114 | 3.4402 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Notre Dame | D1 | BigTen | JR | 36 | 9 | 22 | 31 | 0.861 |
| 2024-25 | Notre Dame | D1 | BigTen | SO | 34 | 12 | 27 | 39 | 1.147 |
| 2023-24 | Notre Dame | D1 | BigTen | FR | 36 | 9 | 11 | 20 | 0.556 |
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.