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Mona Grudt

Milan Models | Age: 26 | Catcher

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 119 Statistics451803151282634707.283.374.4391.292

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1@TOK320021000.000.400.0000.025
2@TOK211120001.200.556.8000.067
3@TAT402110000.333.571.6670.124
4@TAT311021000.333.579.5830.020
5@MTG624400100.444.600.6670.473
6@MTG411011000.409.567.5910.009
7CPT500002000.333.486.481-0.307
8CPT400012000.290.450.419-0.039
9SEA200011000.273.442.3940.009
10SEA301010000.278.447.3890.016
11LAL400000000.250.412.350-0.068
13INT343130000.302.474.3950.107
14INT400002000.277.443.362-0.038
15ARK523001100.308.455.4040.057
16ARK501001100.298.437.404-0.079
18VAT522300001.306.434.4520.154
19@BAL501203000.299.420.4330.186
20@BAL300010000.286.412.414-0.056
21@SJS402202100.297.416.4320.175
22@SJS512100001.304.415.4680.028
23@LPM411011000.301.414.458-0.121
25LIS301110000.302.417.4530.056
26LIS401010000.300.417.444-0.012
27LIS400001000.287.402.426-0.039
28LIS512101000.293.402.4240.074
29LIS412000100.301.405.4370.017
30@PAD400000000.290.392.421-0.080
31@PAD411002000.288.388.4140.021
32@PAD501103000.284.381.4050.025
33@PAD411100001.283.377.425-0.016
34@PAD401001000.282.373.419-0.033
35APX312020000.291.388.4250.107
36APX501010100.288.386.4240.208
37APX512400001.292.386.4450.251
38APX413200001.305.395.4750.338
40@KRA422111001.310.401.4970.015
41@KRA421010000.309.401.4900.028
42@KRA401001000.307.398.484-0.050
43@KRA421011000.306.398.4780.038
45STR400002000.298.389.466-0.145
46STR400101000.291.381.455-0.066
47STR400001000.284.373.444-0.109
48@STR501100100.282.369.443-0.177
49@STR311011000.282.371.4410.037
50@STR301010000.283.374.4390.062

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home22891324131115403.270.350.4160.492
Away23911827151519304.297.396.4620.800
 
First half22861726161718403.302.417.4530.798
Second half2394142512916304.266.330.4260.494
 
Batting 1st103869455101.237.326.342-0.337
Batting 2nd341392342241928606.302.386.4751.604
Batting 3rd1320021000.000.400.0000.025
 
Playing c451803151282634707.283.374.4391.292
 
vs. SEA2501021000.200.429.2000.025
vs. APX41738630102.471.550.8820.904
vs. KRA41665133001.312.421.5000.031
vs. PAD52124206001.190.190.333-0.083
vs. BAL2801213000.125.222.1250.130
vs. TOK2531141001.200.556.8000.092
vs. LIS52026222100.300.364.3500.096
vs. VAT1522300001.400.4001.0000.154
vs. INT2743132000.429.600.4290.069
vs. MTG21035411100.500.545.6000.482
vs. LPM1411011000.250.400.250-0.121
vs. ARK21024002200.400.400.600-0.022
vs. STR62313225100.130.200.174-0.398
vs. CPT2900014000.000.100.000-0.346
vs. SJS2914302101.444.444.8890.203
vs. LAL1400000000.000.000.000-0.068
vs. TAT2713131000.429.600.4290.144