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| No. | Pos | First Name | Last Name | Avg | AB | R | 1B | 2B | 3B | HR | XBH | RBI | S | BB | FC | K | E | OFA | SLG | OBP | OPS | RC | TAv |
|---|
| 0 | P | Violet | M | 0.667 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.667 | 0.667 | 1.334 | 1.333 | 1.333 |
| 0 | SS | Leilani | Diaz | 0.000 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 0 | 2B | B | Kerr | 1.000 | 3 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 2.000 | 3.000 | 2.000 |
| 0 | 1B | Sammy | Galindo | 0.000 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 0 | P | Megan | V | 0.500 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.500 | 0.500 | 1.000 | 0.500 | 1.000 |
| 0 | OF | Alexis | Simpson | 0.500 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.500 | 0.500 | 1.000 | 0.500 | 1.000 |
| 0 | C | Rocco | M | 0.000 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 0 | P | D | Gloria | 0.000 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 0 | C | C | Fitzpatrick | 0.000 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 0 | OF | S | Anchondo | 1.000 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 2.000 | 1.000 | 1.750 |
| 0 | OF | T | Munoz | 1.000 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 2.000 | 1.000 | 3.000 | 2.000 | 1.625 |
Confused by what some of these abbreviations mean? Check out our Stats Glossary
