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Mona Grudt

Milan Models | Age: 27 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 120 Statistics4717525393528241017.223.330.4110.976

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1@INT200120000.000.500.0000.053
2@INT400000000.000.250.000-0.208
3@TAT411010100.100.308.2000.341
4@TAT411002000.143.294.214-0.072
6@VAT401000000.167.286.2220.021
7SEA401000000.182.280.227-0.015
8SEA301000000.200.286.240-0.072
9LAL422201001.241.312.3790.062
10LAL200020000.226.333.355-0.055
11CPT400001000.200.300.314-0.064
12CPT401200100.205.295.3330.093
13ARK400000000.186.271.302-0.133
14ARK301110000.196.288.3040.030
15MTG300011000.184.286.286-0.023
16MTG300010000.173.283.269-0.043
17TOK500001000.158.262.246-0.040
18TOK131130001.172.304.3100.234
19@SJS400002000.161.288.290-0.242
20@SJS311220001.169.308.3380.044
21@LPM411212100.174.313.3480.131
22@LPM512400001.189.318.3920.365
23@BAL310020000.182.323.377-0.079
24@BAL401100000.185.320.370-0.008
25@KRA221220000.193.337.3730.105
26@KRA411100010.195.333.3910.031
28@KRA500000000.185.318.370-0.066
29@KRA503100100.206.330.3920.004
30PAD502100000.216.333.3920.112
31PAD412200001.226.339.4250.200
32PAD401000000.227.336.418-0.049
33PAD501201000.226.331.409-0.033
35APX500001000.217.319.392-0.101
36APX312220001.228.336.4230.496
37APX412001100.236.340.4330.024
38APX300011000.231.338.423-0.021
39APX622001200.235.338.434-0.221
41@STR412311200.243.346.4500.132
42@STR401010000.243.347.444-0.006
43@STR300012000.238.345.435-0.056
44@STR310001000.233.339.427-0.001
46@LIS310010000.229.337.4180.063
47@LIS200000000.226.333.413-0.008
48LIS400110000.220.330.403-0.067
49LIS411001000.221.328.399-0.040
50LIS300011000.217.326.392-0.019
51@TAT511103000.216.323.3860.040
52@LAL412310101.223.330.4110.137

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home24901120141311404.222.320.4000.255
Away23851419211513613.224.340.4240.721
 
First half25871417191810314.195.333.3910.456
Second half22881122161014703.250.327.4320.520
 
Batting 2nd2923401001.333.333.6670.325
Batting 3rd124591415104303.311.436.5780.755
Batting 4th331211422161819713.182.288.331-0.104
 
Playing c4717525393528241017.223.330.4110.976
 
vs. SEA2702000000.286.286.286-0.087
vs. APX52146234301.286.375.5710.177
vs. KRA41635420110.312.389.5000.074
vs. PAD41816501001.333.333.5000.230
vs. BAL2711120000.143.333.143-0.087
vs. TOK2631131001.167.444.6670.194
vs. LIS51621132000.062.211.062-0.071
vs. VAT1401000000.250.250.2500.021
vs. INT2600120000.000.250.000-0.155
vs. MTG2600021000.000.250.000-0.066
vs. LPM2923612101.333.400.7780.496
vs. ARK2701110000.143.250.143-0.103
vs. STR41423334200.214.353.3570.069
vs. CPT2801201100.125.125.2500.029
vs. SJS2711222001.143.333.571-0.198
vs. LAL31034531102.400.5381.1000.144
vs. TAT31333115100.231.286.3080.309