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Veronika Didusenko

Milan Models | Age: 33 | Shortstop

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 120 Statistics4720942721910291108.344.374.5120.454

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1@INT412102000.500.500.5000.121
2@INT402010000.500.556.5000.044
3@TAT412020100.500.600.5830.116
4@TAT401001000.438.526.5000.031
5@VAT411000100.400.478.500-0.061
6@VAT411000000.375.444.458-0.016
8SEA522000000.379.438.4480.037
9LAL401001000.364.417.424-0.063
10LAL402001000.378.425.4320.050
11CPT413010100.415.467.4880.092
12CPT511000000.391.440.457-0.094
13ARK500001000.353.400.412-0.157
14ARK400000000.327.373.382-0.111
15MTG512001000.333.375.3830.026
16MTG401000000.328.368.375-0.046
17TOK522100200.333.370.4060.017
18TOK512001100.338.372.419-0.011
19@SJS400001000.321.354.397-0.118
20@SJS503002000.337.368.4100.066
22@LPM433010000.356.391.4250.103
24@BAL512000000.359.392.424-0.005
25@KRA623101000.367.398.4290.044
26@KRA512100001.369.398.456-0.063
27@KRA522000000.370.398.4540.011
28@KRA411011100.366.398.4550.032
29@KRA511003000.359.390.444-0.039
30PAD501000000.352.383.434-0.177
31PAD311110001.352.386.4560.000
32PAD423301002.364.397.5120.379
34PAD411101001.361.393.526-0.012
35APX210021000.356.396.5190.002
36APX511200001.350.389.5290.045
37APX400001000.340.379.514-0.120
38APX512000100.342.380.5170.063
39APX611200001.335.372.5230.326
40@STR400101000.327.363.509-0.029
41@STR502001000.329.364.506-0.095
42@STR524001000.343.376.5150.173
43@STR411001000.341.374.509-0.007
44@STR500001000.331.364.494-0.157
45@LIS523000000.339.370.4970.037
46@LIS321410001.339.372.5110.061
47@LIS401001000.337.370.505-0.027
48LIS523101100.344.376.5130.107
50LIS411001100.342.373.513-0.034
51@TAT502001100.343.374.515-0.096
52@LAL512000000.344.374.5120.009

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home2297193011411706.309.337.5670.319
Away2511223428618402.375.407.4640.135
 
First half2310319384512601.369.398.4560.002
Second half24106233415517507.321.351.5660.452
 
Batting 1st4720942721910291108.344.374.5120.454
 
Playing dh4720942721910291108.344.374.5120.454
 
vs. SEA1522000000.400.400.4000.037
vs. APX52244422102.182.250.5000.316
vs. KRA52579215101.360.385.520-0.015
vs. PAD41646512004.375.4121.1250.190
vs. BAL1512000000.400.400.400-0.005
vs. TOK21034101300.400.400.7000.006
vs. LIS52179513201.429.455.6670.144
vs. VAT2822000100.250.250.375-0.077
vs. INT2814112000.500.556.5000.165
vs. MTG2913001000.333.333.333-0.020
vs. LPM1433010000.750.800.7500.103
vs. ARK2900001000.000.000.000-0.268
vs. STR52337105000.304.304.304-0.115
vs. CPT2924010100.444.500.556-0.002
vs. SJS2903003000.333.333.333-0.052
vs. LAL31315002000.385.385.385-0.004
vs. TAT31315022200.385.467.5380.051