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FHS Black Kats Single Game Stats ( 2019-09-15 ) FHS Black Kats: 15 Sussex Regional: 4
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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6 | CF | Ella | Campbell | 0.500 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.500 | 0.500 | 1.000 | 0.500 | 1.000 |
2 | 1B | Renee | Humphrey | 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 |
3 | 2B | Emily | Robichaud | 1.000 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 2.000 | 3.000 | 2.000 |
7 | IF | Alyssa | Sprague | 0.333 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.333 | 0.333 | 0.666 | 0.333 | 0.667 |
9 | OF | Ella | Abernethy | 0.000 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
11 | UTIL | Naomi | Hicks | 1.000 | 3 | 2 | 2 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1.667 | 1.000 | 2.667 | 5.000 | 2.667 |
12 | LF | Kirsten | Donovan | 0.667 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.667 | 0.667 | 1.334 | 1.333 | 1.333 |
13 | C | Cassie | Innis | 0.500 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.500 | 0.500 | 1.000 | 0.500 | 1.000 |
14 | 3B | Eavan | McLaughlin | 0.333 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333 | 0.333 | 0.666 | 0.333 | 0.667 |
18 | OF | Sophia | Pospolita | 0.500 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.500 | 0.500 | 1.000 | 0.500 | 1.000 |
4 | UTIL | Haile | Thorburn | 1.000 | 3 | 2 | 2 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1.333 | 1.000 | 2.333 | 4.000 | 2.333 |
5 | UTIL | Lindsay | Wiebe | 0.500 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.500 | 0.667 | 1.167 | 0.667 | 1.167 |
16 | UTIL | Reese | Whalen | 0.333 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333 | 0.333 | 0.666 | 0.333 | 0.667 |
19 | UTIL | Keira | Campbell | 1.000 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 2.000 | 2.000 | 2.000 |
20 | UTIL | Ana | Paula | 0.000 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
Confused by what some of these abbreviations mean? Check out our Stats Glossary