Team | Year | Pos | G | IP | PO | A | E | Fld % | RF | Eff | ZR |
---|---|---|---|---|---|---|---|---|---|---|---|
St. Louis - MLB
STL - MLB
|
2019 | LF | 10 | 84.2 | 18 | 1 | 0 | 1.000 | 2.02 | .985 | -0.72 |
St. Louis - MLB
STL - MLB
|
2019 | CF | 34 | 274.2 | 76 | 2 | 0 | 1.000 | 2.56 | .959 | -3.47 |
St. Louis - MLB
STL - MLB
|
2019 | RF | 44 | 371.0 | 86 | 1 | 0 | 1.000 | 2.11 | 1.000 | -0.22 |
Washington - MLB
WAS - MLB
|
2017 | LF | 2 | 11.0 | 3 | 0 | 0 | 1.000 | 2.45 | 1.022 | 0.05 |
Washington - MLB
WAS - MLB
|
2017 | CF | 1 | 0.2 | 0 | 0 | 0 | .000 | 0.00 | .000 | 0.00 |
Washington - MLB
WAS - MLB
|
2017 | RF | 19 | 138.1 | 33 | 1 | 0 | 1.000 | 2.21 | 1.017 | 0.42 |
Seattle - MLB
SEA - MLB
|
2016 | 1B | 1 | 9.0 | 2 | 1 | 1 | .750 | 3.00 | .710 | -0.50 |
Seattle - MLB
SEA - MLB
|
2016 | LF | 4 | 30.0 | 7 | 0 | 0 | 1.000 | 2.10 | .985 | -0.08 |
Seattle - MLB
SEA - MLB
|
2016 | CF | 1 | 0.1 | 1 | 0 | 0 | 1.000 | 27.00 | 1.033 | 0.03 |
Seattle - MLB
SEA - MLB
|
2016 | RF | 24 | 211.0 | 52 | 0 | 0 | 1.000 | 2.22 | 1.045 | 1.62 |
Seattle - MLB
SEA - MLB
|
2015 | 1B | 1 | 1.0 | 1 | 0 | 0 | 1.000 | 9.00 | 1.068 | 0.04 |
Seattle - MLB
SEA - MLB
|
2015 | CF | 11 | 88.2 | 11 | 1 | 2 | .857 | 1.22 | .686 | -3.69 |
Seattle - MLB
SEA - MLB
|
2015 | RF | 12 | 92.0 | 27 | 2 | 1 | .967 | 2.84 | 1.005 | 0.08 |
Total | 1B | 2 | 10.0 | 3 | 1 | 1 | -0.46 | ||||
Total | LF | 20 | 125.2 | 29 | 1 | 1 | -0.74 | ||||
Total | CF | 132 | 364.1 | 241 | 4 | 3 | -7.13 | ||||
Total | RF | 108 | 812.1 | 202 | 4 | 1 | 1.91 |