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Mona Grudt

Milan Models | Age: 24 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 117 Statistics471642841253320618.250.376.4450.652

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1BAL201120000.500.750.5000.108
2BAL411101001.333.500.8330.063
3LAL200020000.250.500.625-0.094
4LAL401001100.250.438.583-0.066
5SEA423200001.375.500.8120.244
6SEA211020000.389.542.7780.008
7@TOK411111100.364.517.7270.046
8@TOK401000000.346.485.654-0.060
9@VAT301011000.345.486.621-0.031
10@VAT411200100.333.463.6060.207
11@MTG400003000.297.422.541-0.067
12@MTG411000100.293.408.537-0.008
13@INT400110000.267.389.489-0.032
14@INT301010000.271.397.4790.103
15@ARK400001000.250.371.442-0.029
16@ARK400002000.232.348.411-0.141
17@TAT400100000.217.329.383-0.053
18@TAT411011000.219.333.3750.006
19LPM400000000.206.316.353-0.093
20LPM301010000.211.325.352-0.081
21CPT413200101.240.345.4270.173
22CPT410112000.228.337.4050.045
23SJS222120001.247.365.4570.282
24SJS400000000.235.350.435-0.098
25@LIS311110010.239.356.4550.148
26@LIS411001000.239.352.446-0.079
27@LIS300001000.232.342.432-0.119
29@LIS401010000.232.345.424-0.150
30APX311010000.235.350.4220.012
31APX421110001.236.352.4430.055
32APX300010000.229.349.431-0.097
33APX321211001.232.353.4550.261
34APX201010100.237.360.465-0.012
35STR413200000.254.371.4750.318
36STR511000000.252.366.463-0.170
37STR411100001.252.362.480-0.034
38STR502000000.258.364.477-0.001
39STR411210001.257.365.4930.124
41@PAD301010000.259.368.4890.002
42@PAD311011000.261.371.486-0.076
43@PAD401001000.260.368.4790.032
44@PAD300011000.255.366.470-0.000
46@KRA300120000.250.367.461-0.025
47@KRA321010000.252.370.4580.028
48KRA401101000.252.367.4530.001
49KRA210130000.248.373.4470.007
50KRA311010000.250.376.445-0.005

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home2585192718206308.318.448.6350.950
Away227991471314310.177.293.241-0.298
 
First half25881321141613514.239.356.4550.580
Second half2276152011177104.263.398.4340.072
 
Batting 2nd2811011000.125.222.125-0.170
Batting 3rd14498148104002.286.407.4080.192
Batting 4th155513161085305.291.381.6180.507
Batting 5th165261071410311.192.364.3460.123
 
Playing c471642841253320618.250.376.4450.652
 
vs. SEA2634220001.667.7501.1670.252
vs. APX51554351102.267.450.7330.219
vs. KRA51543371000.200.455.2000.006
vs. PAD41313033000.231.375.231-0.042
vs. BAL2612221001.333.500.8330.171
vs. TOK2812111100.250.333.375-0.014
vs. LIS41423122010.214.312.357-0.200
vs. VAT2712211100.286.375.4290.176
vs. INT2701120000.143.333.1430.071
vs. MTG2811003100.125.125.250-0.075
vs. LPM2701010000.143.250.143-0.174
vs. ARK2800003000.000.000.000-0.170
vs. STR52248510002.364.391.6360.237
vs. CPT2823312101.375.444.8750.218
vs. SJS2622120001.333.500.8330.184
vs. LAL2601021100.167.375.333-0.160
vs. TAT2811111000.125.222.125-0.047