| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Tri-City Storm | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Omaha Lancers | USHL | 55 | 0 | 3 | 3 | 0.054 | 0.0335 | 0.0351 | 0.1606 | 0.1681 |
| 2024-25 | Dubuque Fighting Saints | USHL | 59 | 0 | 4 | 4 | 0.068 | 0.0417 | 0.0415 | 0.1998 | 0.1989 |
| 2025-26 | Des Moines Buccaneers | USHL | 31 | 0 | 4 | 4 | 0.129 | 0.0793 | 0.0751 | 0.3801 | 0.3601 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Lowell | D1 | HockeyEast | FR | 9 | 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.