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Softball - RG Career Batter Statistics Only showing top 30 players by AB. Click On A Heading To Sort
First Name | Last Name | Avg | AB | R | 1B | 2B | 3B | HR | XBH | RBI | S | BB | FC | K | E | OFA | SLG | OBP | wOBA | OPS | RC | TAv |
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Casey | | 0.627 | 75 | 32 | 43 | 3 | 1 | 0 | 4 | 20 | 3 | 6 | 3 | 5 | 0 | 0 | 0.693 | 0.631 | 0.556 | 1.324 | 34.025 | 1.321 |
Adam-3 | | 0.721 | 61 | 32 | 24 | 13 | 2 | 5 | 20 | 28 | 0 | 0 | 2 | 0 | 0 | 0 | 1.246 | 0.721 | 0.811 | 1.967 | 54.820 | 1.967 |
Ryan | | 0.820 | 61 | 31 | 24 | 10 | 2 | 14 | 26 | 48 | 2 | 0 | 3 | 1 | 0 | 0 | 1.738 | 0.794 | 1.004 | 2.532 | 86.885 | 2.508 |
Ryan-3 | | 0.661 | 59 | 33 | 16 | 10 | 3 | 10 | 23 | 40 | 0 | 0 | 4 | 0 | 0 | 0 | 1.441 | 0.661 | 0.849 | 2.102 | 56.186 | 2.102 |
Maria-3 | | 0.526 | 57 | 18 | 26 | 4 | 0 | 0 | 4 | 14 | 2 | 0 | 1 | 1 | 0 | 0 | 0.596 | 0.508 | 0.466 | 1.104 | 17.895 | 1.119 |
Shn-3 | | 0.750 | 52 | 25 | 22 | 10 | 2 | 5 | 17 | 24 | 0 | 0 | 2 | 0 | 0 | 0 | 1.308 | 0.750 | 0.847 | 2.058 | 51.000 | 2.058 |
Mel-3 | | 0.500 | 52 | 14 | 26 | 0 | 0 | 0 | 0 | 19 | 3 | 0 | 5 | 0 | 0 | 0 | 0.500 | 0.473 | 0.411 | 0.973 | 13.000 | 1.000 |
Maria | | 0.408 | 49 | 13 | 14 | 6 | 0 | 0 | 6 | 16 | 4 | 0 | 5 | 0 | 0 | 0 | 0.531 | 0.377 | 0.368 | 0.908 | 10.612 | 0.943 |
Tom-3 | | 0.702 | 47 | 16 | 28 | 5 | 0 | 0 | 5 | 10 | 1 | 0 | 3 | 2 | 0 | 0 | 0.809 | 0.688 | 0.634 | 1.497 | 26.681 | 1.500 |
Casey-3 | | 0.674 | 43 | 19 | 26 | 2 | 1 | 0 | 3 | 15 | 5 | 0 | 2 | 4 | 0 | 0 | 0.767 | 0.604 | 0.554 | 1.371 | 22.256 | 1.396 |
Jack-3 | | 0.744 | 39 | 19 | 16 | 4 | 2 | 7 | 13 | 25 | 0 | 0 | 0 | 2 | 0 | 0 | 1.487 | 0.744 | 0.908 | 2.231 | 43.128 | 2.231 |
Emma | | 0.632 | 38 | 16 | 20 | 3 | 1 | 0 | 4 | 13 | 1 | 1 | 3 | 1 | 0 | 0 | 0.763 | 0.625 | 0.582 | 1.388 | 18.590 | 1.388 |
Jack | | 0.919 | 37 | 19 | 14 | 8 | 3 | 9 | 20 | 33 | 0 | 1 | 0 | 1 | 0 | 0 | 2.027 | 0.921 | 1.175 | 2.948 | 69.079 | 2.908 |
Tim | | 0.730 | 37 | 22 | 19 | 8 | 0 | 0 | 8 | 7 | 0 | 3 | 1 | 0 | 0 | 0 | 0.946 | 0.750 | 0.708 | 1.696 | 26.250 | 1.663 |
Jeff | | 0.583 | 36 | 20 | 15 | 5 | 0 | 1 | 6 | 15 | 1 | 1 | 6 | 2 | 0 | 0 | 0.806 | 0.579 | 0.573 | 1.385 | 17.243 | 1.382 |
Ryan M | | 0.800 | 35 | 20 | 16 | 3 | 4 | 5 | 12 | 21 | 0 | 0 | 1 | 0 | 0 | 0 | 1.543 | 0.800 | 0.954 | 2.343 | 43.200 | 2.343 |
Sam | | 0.794 | 34 | 23 | 14 | 5 | 2 | 6 | 13 | 17 | 0 | 3 | 3 | 0 | 0 | 0 | 1.588 | 0.811 | 0.947 | 2.399 | 43.784 | 2.311 |
Claudia | | 0.531 | 32 | 13 | 15 | 2 | 0 | 0 | 2 | 9 | 2 | 4 | 0 | 0 | 0 | 0 | 0.594 | 0.553 | 0.48 | 1.147 | 11.083 | 1.158 |
Wes | | 0.750 | 32 | 13 | 12 | 5 | 0 | 7 | 12 | 18 | 0 | 1 | 0 | 0 | 0 | 0 | 1.563 | 0.758 | 0.933 | 2.321 | 37.879 | 2.288 |
Tim-3 | | 0.742 | 31 | 14 | 16 | 6 | 1 | 0 | 7 | 13 | 1 | 0 | 2 | 0 | 0 | 0 | 1.000 | 0.719 | 0.711 | 1.719 | 23.000 | 1.719 |
Money | | 0.419 | 31 | 9 | 12 | 1 | 0 | 0 | 1 | 8 | 0 | 1 | 2 | 0 | 0 | 0 | 0.452 | 0.438 | 0.386 | 0.890 | 6.125 | 0.891 |
Kim-3 | | 0.464 | 28 | 11 | 8 | 5 | 0 | 0 | 5 | 16 | 1 | 0 | 5 | 0 | 0 | 0 | 0.643 | 0.448 | 0.45 | 1.091 | 8.357 | 1.103 |
Dan | | 0.500 | 28 | 10 | 11 | 2 | 0 | 1 | 3 | 7 | 0 | 0 | 3 | 2 | 0 | 0 | 0.679 | 0.500 | 0.498 | 1.179 | 9.500 | 1.179 |
Kim | | 0.333 | 27 | 6 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 4 | 1 | 0 | 0 | 0.370 | 0.357 | 0.317 | 0.727 | 3.571 | 0.732 |
Sammy | | 0.385 | 26 | 7 | 10 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 7 | 2 | 0 | 0 | 0.385 | 0.357 | 0.311 | 0.742 | 3.846 | 0.786 |
Richard-3 | | 0.680 | 25 | 11 | 11 | 3 | 2 | 1 | 6 | 9 | 1 | 0 | 2 | 0 | 0 | 0 | 1.080 | 0.654 | 0.701 | 1.734 | 18.360 | 1.731 |
Amanda | | 0.280 | 25 | 7 | 7 | 0 | 0 | 0 | 0 | 7 | 6 | 2 | 0 | 2 | 0 | 0 | 0.280 | 0.273 | 0.226 | 0.553 | 2.333 | 0.697 |
Isa-3 | | 0.478 | 23 | 8 | 11 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 4 | 3 | 0 | 0 | 0.478 | 0.458 | 0.399 | 0.936 | 5.261 | 0.958 |
Rich-3 | | 0.545 | 22 | 8 | 8 | 3 | 1 | 0 | 4 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0.773 | 0.545 | 0.552 | 1.318 | 9.273 | 1.318 |
Rich | | 0.810 | 21 | 6 | 9 | 5 | 0 | 3 | 8 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 1.476 | 0.810 | 0.94 | 2.286 | 25.095 | 2.286 |
Confused by what some of these abbreviations mean? Check out our Stats Glossary