| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Oklahoma Warriors | NAHL | 6 | 1 | 0 | 1 | 0.167 | 0.0592 | 0.0655 | 0.1750 | 0.1937 |
| 2022-23 | — | NAHL | 40 | 2 | 7 | 9 | 0.225 | 0.0799 | 0.0845 | 0.2362 | 0.2499 |
| 2023-24 | Aberdeen Wings | NAHL | 57 | 4 | 12 | 16 | 0.281 | 0.0997 | 0.1007 | 0.2947 | 0.2977 |
| 2024-25 | Aberdeen Wings | NAHL | 59 | 2 | 20 | 22 | 0.373 | 0.1325 | 0.1269 | 0.3915 | 0.3749 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Milwaukee School of Engineering | D3 | NCHA | FR | 26 | 0 | 2 | 2 | 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.