| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Chicago Steel | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Shreveport Mudbugs | NAHL | 34 | 0 | 2 | 2 | 0.059 | 0.0233 | 0.0233 | 0.0617 | 0.0617 |
| 2021-22 | Shreveport Mudbugs | NAHL | 55 | 3 | 14 | 17 | 0.309 | 0.1225 | 0.1139 | 0.3245 | 0.3018 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Aurora | D3 | NCHA | SR | 28 | 0 | 4 | 4 | 0.143 |
| 2024-25 | Aurora | D3 | NCHA | JR | 30 | 2 | 9 | 11 | 0.367 |
| 2023-24 | Aurora | D3 | NCHA | SO | 26 | 2 | 6 | 8 | 0.308 |
| 2022-23 | Aurora | D3 | NCHA | FR | 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.