Team | Year | Pos | G | IP | PO | A | E | Fld % | RF | Eff | ZR |
---|---|---|---|---|---|---|---|---|---|---|---|
Los Angeles - MLB
LAA - MLB
|
2019 | 1B | 26 | 178.2 | 160 | 1 | 2 | .988 | 8.11 | .905 | -2.09 |
Los Angeles - MLB
LAA - MLB
|
2019 | RF | 4 | 18.0 | 4 | 0 | 0 | 1.000 | 2.00 | .988 | -0.59 |
Los Angeles - MLB
LAA - MLB
|
2018 | 1B | 9 | 23.0 | 25 | 1 | 0 | 1.000 | 10.17 | 1.046 | 0.32 |
Los Angeles - MLB
LAA - MLB
|
2018 | LF | 27 | 181.1 | 43 | 2 | 0 | 1.000 | 2.23 | .979 | -1.09 |
Los Angeles - MLB
LAA - MLB
|
2018 | RF | 27 | 206.0 | 40 | 1 | 0 | 1.000 | 1.79 | .951 | 0.10 |
St. Louis - MLB
STL - MLB
|
2017 | 1B | 6 | 37.0 | 37 | 0 | 1 | .974 | 9.00 | .665 | -1.01 |
St. Louis - MLB
STL - MLB
|
2017 | LF | 45 | 371.2 | 88 | 3 | 0 | 1.000 | 2.20 | 1.010 | 0.65 |
St. Louis - MLB
STL - MLB
|
2017 | RF | 6 | 23.0 | 2 | 0 | 0 | 1.000 | 0.78 | 1.017 | 0.01 |
Seattle - MLB
SEA - MLB
|
2016 | 1B | 18 | 155.1 | 145 | 11 | 2 | .987 | 9.04 | .928 | -1.07 |
Seattle - MLB
SEA - MLB
|
2016 | LF | 74 | 662.0 | 138 | 4 | 0 | 1.000 | 1.93 | .993 | -0.66 |
Seattle - MLB
SEA - MLB
|
2016 | CF | 8 | 51.0 | 17 | 1 | 0 | 1.000 | 3.18 | 1.033 | 0.43 |
Los Angeles - MLB
LAD - MLB
|
2015 | 1B | 6 | 37.0 | 29 | 3 | 0 | 1.000 | 7.78 | .868 | -0.39 |
Los Angeles - MLB
LAD - MLB
|
2015 | 2B | 1 | 1.0 | 1 | 0 | 0 | 1.000 | 9.00 | .000 | 0.00 |
Los Angeles - MLB
LAD - MLB
|
2015 | SS | 2 | 19.0 | 4 | 5 | 0 | 1.000 | 4.26 | .911 | -0.41 |
Los Angeles - MLB
LAD - MLB
|
2015 | LF | 75 | 638.1 | 125 | 0 | 3 | .977 | 1.76 | .946 | -4.92 |
Los Angeles - MLB
LAD - MLB
|
2015 | CF | 3 | 24.0 | 6 | 0 | 0 | 1.000 | 2.25 | .998 | -0.01 |
Los Angeles - MLB
LAD - MLB
|
2015 | RF | 7 | 47.0 | 10 | 1 | 0 | 1.000 | 2.11 | 1.116 | 0.77 |
Total | 1B | 95 | 488.0 | 513 | 27 | 7 | -4.23 | ||||
Total | 2B | 1 | 1.0 | 1 | 0 | 0 | 0.00 | ||||
Total | SS | 2 | 19.0 | 4 | 5 | 0 | -0.41 | ||||
Total | LF | 294 | 2090.2 | 483 | 9 | 7 | -6.02 | ||||
Total | CF | 11 | 75.0 | 23 | 1 | 0 | 0.42 | ||||
Total | RF | 82 | 440.0 | 98 | 5 | 0 | 0.29 |