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Mona Grudt

Milan Models | Age: 25 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 118 Statistics4618233541932161705.297.402.4730.687

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1@BAL513000100.600.600.8000.075
2@BAL500001000.300.300.400-0.122
4@LPM501001000.267.267.333-0.261
5@LAL400011000.211.250.263-0.060
6@LAL131140001.250.400.4500.219
7ARK522301101.280.400.6000.150
8ARK310010000.250.382.536-0.042
9MTG512100000.273.385.5150.095
10MTG402100100.297.395.5410.031
11INT411000000.293.383.512-0.061
12INT400000000.267.353.467-0.092
13SJS311010000.271.364.458-0.063
14SJS403100100.308.390.5000.079
15SEA210020000.296.397.4810.007
16SEA502101200.305.397.5080.124
17CPT502000100.312.397.516-0.053
18CPT400001000.294.377.485-0.173
19@VAT411010100.292.378.4860.011
20@VAT501001100.286.368.481-0.000
21@TAT311010000.287.374.4750.016
23@TOK433120000.310.402.4880.096
24@TOK401011000.307.402.477-0.044
25@LIS412001100.315.406.4890.103
26@LIS501101100.309.396.485-0.032
27@LIS400001000.297.383.465-0.136
28@LIS501100100.292.375.462-0.007
29@LIS512000100.297.376.4680.031
31STR512001100.302.377.4740.041
32STR503100100.314.385.4880.223
33STR311210000.315.388.4840.076
34STR423100001.328.399.5160.165
35KRA321110001.328.401.5340.125
36KRA300010000.321.397.5220.003
37KRA401210000.319.397.5140.013
38KRA501000000.315.391.503-0.062
39KRA300000000.308.384.493-0.087
40@PAD500000000.298.373.477-0.043
41@PAD512002000.301.374.474-0.035
42@PAD300030000.296.378.465-0.062
43@PAD210020000.292.380.4600.015
44@PAD512000000.295.381.458-0.081
46APX513011100.304.390.4680.141
47APX311110001.305.392.4830.257
48@APX100030000.303.399.4800.028
49@APX230030000.299.404.4750.043
50@APX511011100.297.402.4730.036

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home2391153115105904.341.406.5710.897
Away2391182342211801.253.398.374-0.210
 
First half2392172991491002.315.406.4890.035
Second half2390162510187703.278.398.4560.652
 
Batting 1st939511254300.282.364.359-0.041
Batting 2nd3714328431727121405.301.412.5030.728
 
Playing c4618233541932161705.297.402.4730.687
 
vs. SEA2712121200.286.444.5710.131
vs. APX51665192201.312.560.6250.505
vs. KRA51823330001.167.286.333-0.008
vs. PAD52034052000.200.360.200-0.206
vs. BAL21013001100.300.300.400-0.047
vs. TOK2834131000.500.636.5000.052
vs. LIS52326203400.261.261.435-0.041
vs. VAT2912011200.222.300.4440.011
vs. INT2811000000.125.125.125-0.153
vs. MTG2914200100.444.444.5560.126
vs. LPM1501001000.200.200.200-0.261
vs. ARK2832311101.250.333.7500.108
vs. STR41749411201.529.556.8240.505
vs. CPT2902001100.222.222.333-0.226
vs. SJS2714110100.571.625.7140.016
vs. LAL2531151001.200.600.8000.159
vs. TAT1311010000.333.500.3330.016