Team | Year | Pos | G | IP | PO | A | E | Fld % | RF | Eff | ZR |
---|---|---|---|---|---|---|---|---|---|---|---|
Boston - MLB
BOS - MLB
|
2021 | 1B | 4 | 12.2 | 15 | 1 | 0 | 1.000 | 11.37 | 1.071 | 0.05 |
Boston - MLB
BOS - MLB
|
2021 | LF | 2 | 18.0 | 4 | 0 | 0 | 1.000 | 2.00 | .977 | -0.21 |
Boston - MLB
BOS - MLB
|
2021 | RF | 8 | 69.0 | 15 | 0 | 0 | 1.000 | 1.96 | .924 | -1.13 |
Boston - MLB
BOS - MLB
|
2020 | RF | 145 | 1295.2 | 276 | 21 | 3 | .990 | 2.06 | .938 | -10.75 |
Boston - MLB
BOS - MLB
|
2019 | 1B | 3 | 16.0 | 14 | 0 | 0 | 1.000 | 7.88 | 1.076 | 0.05 |
Boston - MLB
BOS - MLB
|
2019 | 2B | 1 | 9.0 | 1 | 4 | 2 | .714 | 5.00 | .739 | -1.05 |
Boston - MLB
BOS - MLB
|
2019 | LF | 16 | 91.0 | 13 | 0 | 1 | .929 | 1.29 | .948 | -0.56 |
Boston - MLB
BOS - MLB
|
2019 | RF | 64 | 459.0 | 107 | 4 | 2 | .982 | 2.18 | .922 | -6.34 |
Boston - MLB
BOS - MLB
|
2018 | 1B | 5 | 30.0 | 24 | 4 | 0 | 1.000 | 8.40 | 1.072 | 0.44 |
Boston - MLB
BOS - MLB
|
2018 | LF | 7 | 64.0 | 17 | 0 | 1 | .944 | 2.39 | .905 | -1.34 |
Boston - MLB
BOS - MLB
|
2018 | RF | 100 | 865.0 | 211 | 13 | 5 | .978 | 2.33 | .889 | -19.67 |
Boston - MLB
BOS - MLB
|
2017 | 1B | 4 | 27.2 | 24 | 0 | 0 | 1.000 | 7.81 | 1.083 | 0.05 |
Boston - MLB
BOS - MLB
|
2017 | LF | 3 | 20.0 | 1 | 0 | 1 | .500 | 0.45 | .323 | -1.48 |
Boston - MLB
BOS - MLB
|
2017 | RF | 65 | 576.2 | 105 | 8 | 2 | .983 | 1.76 | .908 | -7.66 |
Boston - MLB
BOS - MLB
|
2016 | 1B | 1 | 1.0 | 1 | 0 | 0 | 1.000 | 9.00 | .000 | 0.00 |
Boston - MLB
BOS - MLB
|
2016 | LF | 3 | 26.1 | 5 | 0 | 0 | 1.000 | 1.71 | .836 | -0.74 |
Boston - MLB
BOS - MLB
|
2016 | RF | 146 | 1278.0 | 256 | 7 | 0 | 1.000 | 1.85 | .968 | -6.28 |
Minnesota - MLB
MIN - MLB
|
2015 | LF | 1 | 9.0 | 2 | 0 | 0 | 1.000 | 2.00 | .666 | -0.76 |
Boston - MLB
BOS - MLB
|
2015 | LF | 3 | 28.2 | 3 | 0 | 1 | .750 | 0.94 | .499 | -2.28 |
Minnesota - MLB
MIN - MLB
|
2015 | RF | 8 | 65.0 | 11 | 2 | 0 | 1.000 | 1.80 | .742 | -2.93 |
Boston - MLB
BOS - MLB
|
2015 | RF | 111 | 996.0 | 200 | 9 | 7 | .968 | 1.89 | .951 | -7.28 |
Pittsburgh - MLB
PIT - MLB
|
2014 | 1B | 1 | 0.0 | 0 | 0 | 0 | .000 | 0.00 | .000 | 0.00 |
Pittsburgh - MLB
PIT - MLB
|
2014 | LF | 4 | 19.2 | 3 | 0 | 0 | 1.000 | 1.37 | .991 | -0.02 |
Pittsburgh - MLB
PIT - MLB
|
2014 | RF | 149 | 1288.1 | 207 | 14 | 2 | .991 | 1.54 | .928 | -10.93 |
Toronto - MLB
TOR - MLB
|
2013 | 1B | 5 | 43.0 | 41 | 2 | 2 | .956 | 9.00 | .760 | -1.39 |
Pittsburgh - MLB
PIT - MLB
|
2013 | RF | 64 | 553.0 | 89 | 7 | 1 | .990 | 1.56 | .877 | -8.43 |
Toronto - MLB
TOR - MLB
|
2013 | RF | 16 | 137.0 | 24 | 0 | 0 | 1.000 | 1.58 | .999 | 0.07 |
Philadelphia - MLB
PHI - MLB
|
2012 | 1B | 6 | 52.0 | 43 | 4 | 1 | .979 | 8.13 | .852 | -1.17 |
Los Angeles - MLB
LAD - MLB
|
2012 | 1B | 1 | 1.0 | 0 | 0 | 0 | .000 | 0.00 | .000 | 0.00 |
Philadelphia - MLB
PHI - MLB
|
2012 | LF | 5 | 41.0 | 9 | 1 | 0 | 1.000 | 2.20 | 1.001 | 0.02 |
Los Angeles - MLB
LAD - MLB
|
2012 | LF | 26 | 218.0 | 47 | 1 | 4 | .923 | 1.98 | .888 | -4.16 |
Los Angeles - MLB
LAD - MLB
|
2012 | RF | 61 | 550.1 | 89 | 1 | 1 | .989 | 1.47 | .864 | -10.28 |
Total | 1B | 30 | 183.1 | 162 | 11 | 3 | -1.97 | ||||
Total | 2B | 1 | 9.0 | 1 | 4 | 2 | -1.05 | ||||
Total | LF | 70 | 535.2 | 104 | 2 | 8 | -11.53 | ||||
Total | RF | 937 | 8133.0 | 1590 | 86 | 23 | -91.60 |