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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 |
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2 | UTIL | Ellie | Miller | 0.200 | 5 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0.400 | 0.429 | 0.829 | 0.857 | 0.857 |
6 | UTIL | Kamryn | Hardy | 0.400 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0.400 | 0.500 | 0.900 | 1.000 | 0.917 |
3 | P | Gracelyn | Noble | 1.000 | 3 | 3 | 0 | 2 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.333 | 1.000 | 3.333 | 7.000 | 3.333 |
8 | SS | Riley | Adams | 0.400 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.400 | 0.500 | 0.900 | 1.000 | 0.917 |
1 | P | Stella | Keller | 0.000 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0.000 | 0.286 | 0.286 | 0.000 | 0.556 |
14 | 3B | Riley | Bradford | 0.800 | 5 | 3 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1.000 | 0.833 | 1.833 | 4.167 | 1.750 |
9 | LF | Danika | Waddle | 0.750 | 4 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.000 | 0.750 | 1.750 | 3.000 | 1.750 |
7 | RF | Olivia | Marsh | 0.250 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.250 | 0.400 | 0.650 | 0.400 | 0.700 |
11 | C | Cora | Ryan | 1.000 | 4 | 1 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.250 | 1.000 | 2.250 | 5.000 | 2.250 |
22 | OF | Bella | Byus | 0.000 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0.000 | 0.500 | 0.500 | 0.000 | 0.750 |
Confused by what some of these abbreviations mean? Check out our Stats Glossary