SimBase Home | Year 140 Home | Player IndexStatistics Glossary

Noelia Voigt

Milan Models | Age: 22 | Center Field

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 140 Statistics41163124325325707.264.277.436-0.172

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1MCA422200002.500.5002.0000.268
2MCA401100000.375.3751.1250.089
3MTG401100000.333.333.833-0.015
4MTG400000000.250.250.625-0.179
5VAT500000000.190.190.476-0.271
6VAT200000000.174.174.435-0.104
8@SEA601100000.172.172.3790.064
9@LPM301011100.188.212.4060.039
10@LPM401000100.194.216.4170.052
11@CAM401101000.200.220.400-0.070
13@CPT401001000.205.222.386-0.058
14@CPT402100000.229.245.3960.150
15@LAL400003000.212.226.365-0.065
17@BAL401002000.214.228.357-0.089
19ARK300000000.203.217.339-0.052
20ARK411101000.206.219.3330.120
21INT400001000.194.206.313-0.064
22INT310012000.186.208.300-0.114
23WOT412401001.203.224.3510.382
24WOT311101001.208.228.3900.065
25KRA404000000.247.265.4200.071
26KRA411201001.247.264.4470.055
27KRA411000000.247.264.438-0.111
28KRA402100100.258.274.4520.077
29KRA301001100.260.276.4580.059
31@STR401000000.260.275.450-0.034
32@STR412000100.269.283.4620.026
33@STR400002000.259.273.444-0.137
34@STR401000000.259.272.438-0.012
36PAD401000000.259.271.431-0.016
37PAD401000000.258.270.425-0.035
38PAD401000100.258.270.427-0.059
39PAD800004000.242.254.402-0.445
41@LIS423500102.257.268.4630.197
42@LIS401110000.257.273.457-0.002
44@LIS301100000.259.274.4550.016
45APX401101000.259.273.449-0.017
47APX400001000.252.266.437-0.061
48@APX401101000.252.266.432-0.005
49@APX402000000.258.272.4340.062
50@APX412000000.264.277.4360.051

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home239182114114305.231.239.429-0.357
Away187242211211402.306.324.4440.185
 
First half228572115215205.247.264.4470.274
Second half197852210110502.282.291.423-0.446
 
Batting 4th93628224200.222.263.278-0.254
Batting 5th187342011116403.274.284.452-0.333
Batting 6th14546151205104.278.278.5190.415
 
Playing cf41163124325325707.264.277.436-0.172
 
vs. SEA1601100000.167.167.1670.064
vs. APX52016203000.300.300.3000.030
vs. MCA2823300002.375.3751.1250.357
vs. KRA51929302201.474.474.7370.151
vs. PAD42003004100.150.150.200-0.555
vs. BAL1401002000.250.250.250-0.089
vs. LIS31125710102.455.5001.0910.211
vs. VAT2700000000.000.000.000-0.375
vs. INT2710013000.000.125.000-0.178
vs. MTG2801100000.125.125.125-0.194
vs. CAM1401101000.250.250.250-0.070
vs. LPM2702011200.286.375.5710.091
vs. ARK2711101000.143.143.1430.068
vs. STR41614002100.250.250.312-0.157
vs. CPT2803101000.375.375.3750.092
vs. WOT2723502002.429.4291.2860.447
vs. LAL1400003000.000.000.000-0.065