| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Des Moines Buccaneers | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Aberdeen Wings | NAHL | 56 | 4 | 23 | 27 | 0.482 | 0.1712 | 0.1802 | 0.5062 | 0.5327 |
| 2024-25 | Fargo Force | USHL | 30 | 0 | 1 | 1 | 0.033 | 0.0196 | 0.0187 | 0.0981 | 0.0938 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Notre Dame | D1 | BigTen | FR | 13 | 0 | 1 | 1 | 0.077 |
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.