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Mona Grudt

Milan Models | Age: 31 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 124 Statistics4314718401812191024.272.327.4490.445

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1ARK311100000.333.333.333-0.011
2ARK411301001.286.286.7140.130
4MTG300010000.200.273.500-0.074
5TAT322010010.308.400.6920.116
6TAT400001000.235.316.529-0.141
8@CPT300001000.200.273.450-0.028
9@LPM400002000.167.231.375-0.160
10@LPM400001000.143.200.321-0.051
11@WOT302000000.194.242.3550.100
12@WOT211110000.212.278.364-0.022
13@SEA501102000.211.268.3420.221
14@SEA301001100.220.273.3660.031
15@LAL412101100.244.292.4000.007
17@BAL211010100.255.314.4260.037
18@BAL401001000.255.309.412-0.126
19TOK210011000.245.310.396-0.002
20TOK302010000.268.339.4110.141
21VAT300001000.254.323.390-0.030
22VAT200010000.246.324.377-0.013
23INT301100000.250.324.3750.094
24INT412100100.265.333.3970.060
25STR401102100.264.329.403-0.008
26STR411200001.263.325.4340.142
27STR300000000.253.314.418-0.092
28STR411000000.253.311.410-0.098
30@KRA411000100.253.309.414-0.024
31@KRA300010000.244.306.400-0.153
32@KRA312220001.258.330.4410.307
33@KRA422100000.268.336.4430.031
34@KRA400001000.257.324.426-0.003
35@APX411100001.257.322.4480.023
36@APX200010000.252.322.4390.037
37@APX400000000.243.311.423-0.129
38@APX400001000.235.302.409-0.079
39@APX402001000.244.308.4120.037
40PAD412100010.252.313.4310.065
42PAD300010000.246.312.421-0.029
43PAD303000100.264.326.4420.126
45@LIS300001000.258.319.432-0.063
47@LIS412000200.265.324.4490.017
48LIS300000000.259.318.439-0.063
49LIS402100100.266.323.4480.117
50LIS402000000.272.327.4490.005

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home21709211166422.300.355.5000.435
Away22779197613602.247.301.4030.010
 
First half2376102012715512.263.325.4340.413
Second half2071820654512.282.329.4650.032
 
Batting 6th1200010000.000.333.000-0.013
Batting 7th829311433402.379.438.7240.332
Batting 8th22777116412211.143.185.234-0.789
Batting 9th1239818844411.462.512.6920.915
 
Playing c4314718401812191024.272.327.4490.445
 
vs. SEA2802103100.250.250.3750.252
vs. APX51813112001.167.211.333-0.111
vs. KRA51845331101.278.381.5000.158
vs. PAD31015110110.500.545.8000.162
vs. BAL2612011100.333.429.500-0.089
vs. TOK2512021000.400.571.4000.139
vs. LIS51816101300.333.333.5000.013
vs. VAT2500011000.000.167.000-0.043
vs. INT2713200100.429.429.5710.154
vs. MTG1300010000.000.250.000-0.074
vs. LPM2800003000.000.000.000-0.211
vs. ARK2722401001.286.286.7140.119
vs. STR41523302101.200.200.467-0.056
vs. CPT1300001000.000.000.000-0.028
vs. WOT2513110000.600.667.6000.078
vs. LAL1412101100.500.500.7500.007
vs. TAT2722011010.286.375.571-0.025