| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Youngstown Phantoms | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Austin Bruins | NAHL | 43 | 8 | 12 | 20 | 0.465 | 0.1709 | 0.1825 | — | — |
| 2022-23 | Austin Bruins | NAHL | 56 | 14 | 17 | 31 | 0.554 | 0.2034 | 0.2072 | 0.5843 | 0.5952 |
| 2023-24 | Austin Bruins | NAHL | 59 | 21 | 23 | 44 | 0.746 | 0.2740 | 0.2660 | 0.7872 | 0.7643 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Cloud State | D1 | NCHC | — | 1 | 0 | 0 | 0 | 0.000 |
| 2024-25 | St. Cloud State | D1 | NCHC | — | 2 | 0 | 0 | 0 | 0.000 |
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.