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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 |
|---|
| 7 | SS | Anna | Keaton | 0.000 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.000 | 0.333 | 0.333 | 0.000 | 0.500 |
| 12 | 2B | Drew | Hoskins | 0.000 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 18 | P | Kayla | Fleck | 0.000 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.000 | 0.250 | 0.250 | 0.000 | 0.375 |
| 40 | P | Biz | Cummings | 0.000 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 29 | OF | Summer | Blair | 1.000 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 2.000 | 1.000 | 1.625 |
| 2 | OF | Lexi | Kidwell | 0.000 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 0.000 | 0.750 | 0.750 | 0.000 | 1.125 |
| 33 | OF | Bre | Kisor | 0.000 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0.000 | 0.667 | 0.667 | 0.000 | 1.000 |
| 32 | UTIL | Bella | Oros | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0.000 | 1.000 | 1.000 | 0.000 | 1.500 |
Confused by what some of these abbreviations mean? Check out our Stats Glossary
