| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NTDP-U18 | 33 | 5 | 9 | 14 | 0.424 | 0.3374 | 0.3444 | 1.5887 | 1.6217 |
| 2022-23 | — | NTDP-U18 | 55 | 9 | 22 | 31 | 0.564 | 0.4483 | 0.4340 | 2.1108 | 2.0434 |
| 2023-24 | — | USHL | 45 | 12 | 38 | 50 | 1.111 | 0.7075 | 0.7028 | 3.3296 | 3.3073 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | BigTen | — | 23 | 7 | 20 | 27 | 1.174 |
| 2024-25 | Penn State | D1 | BigTen | — | 38 | 15 | 27 | 42 | 1.105 |
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.