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Mona Grudt

Milan Models | Age: 23 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 116 Statistics471862047212429624.253.338.3710.700

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1INT413120010.750.8331.2500.038
2INT401000000.500.600.7500.057
3VAT501001000.385.467.538-0.070
4VAT201020100.400.526.6000.081
5ARK412010000.421.542.5790.117
6ARK301111000.409.536.5450.050
7@MTG511100000.370.485.481-0.026
8@MTG501103100.344.447.469-0.014
9@TOK423100100.389.476.5280.149
10@TOK401000000.375.457.500-0.006
11@TAT401001000.364.440.477-0.110
12@TAT200021000.348.444.4570.034
13SJS400000000.320.414.420-0.113
14SJS400001000.296.387.389-0.064
15BAL411012000.293.388.379-0.047
16BAL502100000.302.389.3810.263
17CPT400000000.284.368.358-0.082
18CPT502001000.292.370.361-0.079
19@LAL400001000.276.353.342-0.116
20@LAL502101100.284.356.358-0.010
21@LPM300010000.274.351.345-0.130
22@LPM411000000.273.347.341-0.025
23@SEA412101001.283.353.3800.126
24@SEA400000000.271.340.365-0.152
25LIS422110001.280.351.4000.076
26LIS411011000.279.353.3940.036
27LIS400000000.269.342.380-0.063
28LIS422210001.277.352.4110.373
29LIS433210110.293.369.4480.336
31@STR500002000.281.356.430-0.099
32@STR400001000.272.345.416-0.062
34@STR501001000.269.340.408-0.032
35APX401001000.269.338.403-0.097
36APX111030000.274.355.4070.103
37APX310220000.268.357.3990.053
38APX301020000.270.364.3970.016
40@KRA300010000.264.361.389-0.008
41@KRA411101001.264.359.4050.086
42@KRA311110000.265.362.4040.023
43@KRA501000000.263.358.397-0.016
44@KRA400001000.256.350.388-0.127
45PAD401101000.256.348.3840.059
46PAD401001000.256.346.381-0.052
47PAD400011000.250.342.372-0.131
48@PAD501104100.249.338.3730.076
49@PAD401000000.249.337.370-0.079
50@PAD502200000.253.338.3710.358

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home24911327111911222.297.418.4290.860
Away239572010518402.211.250.316-0.160
 
First half25100102891114412.280.351.400-0.053
Second half22861019121315212.221.323.3370.753
 
Batting 1st2601021100.167.375.3330.017
Batting 2nd72949523101.310.355.4480.550
Batting 3rd381511637162025423.245.333.3580.133
 
Playing c471862047212429624.253.338.3710.700
 
vs. SEA2812101001.250.250.625-0.026
vs. APX41123271000.273.556.2730.075
vs. KRA51923222001.158.238.316-0.042
vs. PAD62606417100.231.259.2690.231
vs. BAL2913112000.333.400.3330.216
vs. TOK2824100100.500.500.6250.143
vs. LIS52088541112.400.500.8500.758
vs. VAT2702021100.286.444.4290.011
vs. INT2814120010.500.600.7500.095
vs. MTG21012203100.200.200.300-0.040
vs. LPM2711010000.143.250.143-0.155
vs. ARK2713121000.429.556.4290.167
vs. STR31401004000.071.071.071-0.193
vs. CPT2902001000.222.222.222-0.161
vs. SJS2800001000.000.000.000-0.177
vs. LAL2902102100.222.222.333-0.126
vs. TAT2601022000.167.375.167-0.076