| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Chippewa Steel | NAHL | 29 | 1 | 1 | 2 | 0.069 | 0.0245 | 0.0245 | 0.0724 | 0.0724 |
| 2021-22 | Wenatchee Wild | BCHL | 38 | 3 | 8 | 11 | 0.289 | 0.1115 | 0.1077 | 0.4218 | 0.4075 |
| 2022-23 | Lone Star Brahmas | NAHL | 57 | 4 | 26 | 30 | 0.526 | 0.1869 | 0.1754 | 0.5526 | 0.5187 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Trinity | D3 | NESCAC | GR | 24 | 3 | 6 | 9 | 0.375 |
| 2024-25 | Trinity | D3 | NESCAC | SR | 25 | 2 | 6 | 8 | 0.320 |
| 2023-24 | Trinity | D3 | NESCAC | JR | 27 | 0 | 2 | 2 | 0.074 |
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.