| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | AJHL | 60 | 19 | 34 | 53 | 0.883 | 0.2950 | 0.3243 | 0.8200 | 0.9016 |
| 2022-23 | — | AJHL | 54 | 41 | 56 | 97 | 1.796 | 0.6000 | 0.6300 | 1.6675 | 1.7508 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | BigTen | JR | 30 | 10 | 28 | 38 | 1.267 |
| 2025-26 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
| 2024-25 | Penn State | D1 | BigTen | SO | 40 | 23 | 30 | 53 | 1.325 |
| 2024-25 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
| 2023-24 | Penn State | D1 | BigTen | FR | 34 | 15 | 19 | 34 | 1.000 |
| 2023-24 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
| 2022-23 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
| 2021-22 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
| 2020-21 | University of Alabama | ACHA_D1 | — | — | 30 | 3 | 5 | 8 | 0.267 |
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.