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Hannah Ferguson

Milan Models | Age: 18 | Left Field

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 76 Statistics3715216376826503.243.281.336-1.054
Career Totals7831137803620559113.257.302.418-1.732

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1WAS423001000.750.750.7500.008
2WAS712103100.455.455.5450.057
4COL401001000.400.400.467-0.007
6MTG422011000.421.450.4740.118
8@INT200002000.381.409.429-0.023
9@LAL300000000.333.360.375-0.047
10@LAL200000000.308.333.346-0.021
11@SJS411001000.300.323.333-0.029
12@SJS401011000.294.333.3240.037
13@SEA501000000.282.317.308-0.044
15@CPT622001100.289.319.333-0.036
16@CPT200020000.277.333.3190.082
17@VAN501002000.269.321.308-0.029
18@VAN511101001.263.311.3510.061
20OMS201020100.271.338.3730.087
21SAO312010100.290.362.4030.102
23BAL401000000.288.356.394-0.141
24BAL402000000.300.364.4000.025
25@KRA401000000.297.358.392-0.076
26@KRA501002000.291.349.380-0.171
28@KRA400001000.277.333.361-0.107
30TAT310010000.267.330.3490.007
32TAT400100000.256.316.333-0.066
33TAT412001000.266.324.3400.021
35@PAD513101001.283.336.3840.031
36@PAD401002000.282.333.379-0.044
37@PAD500000000.269.319.361-0.167
39@PAD500000000.257.306.345-0.096
40STR501001100.254.302.347-0.250
41STR501000000.252.298.341-0.085
42STR411101001.252.296.3620.001
43STR400000000.244.288.351-0.108
45@CIR501001000.243.285.346-0.133
46@CIR401000000.243.284.343-0.038
47@CIR411102000.243.283.3400.051
48CIR401000000.243.282.338-0.008
50CIR411000000.243.281.336-0.016

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home17691021359401.304.351.406-0.255
Away20836163317102.193.221.277-0.799
 
First half197410222714401.297.358.3920.124
Second half18786154112102.192.203.282-1.178
 
Batting 1st41426124101.429.500.7140.147
Batting 2nd3313814315622402.225.257.297-1.201
 
Playing lf3715216376826503.243.281.336-1.054
 
vs. SEA1501000000.200.200.200-0.044
vs. OMS1201020100.500.7501.0000.087
vs. KRA31302003000.154.154.154-0.354
vs. PAD41914103001.211.211.368-0.276
vs. COL1401001000.250.250.250-0.007
vs. BAL2803000000.375.375.375-0.116
vs. CIR52125103000.238.238.238-0.144
vs. WAS21135104100.455.455.5450.065
vs. INT1200002000.000.000.000-0.023
vs. MTG1422011000.500.600.5000.118
vs. STR41813102101.167.167.389-0.442
vs. CPT2822021100.250.400.3750.046
vs. SJS2812012000.250.333.2500.008
vs. SAO1312010100.667.7501.0000.102
vs. LAL2500000000.000.000.000-0.068
vs. TAT31122111000.182.250.182-0.038
vs. VAN21012103001.200.200.5000.032