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Natalie Galkina

Milan Models | Age: 19 | Shortstop

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 62 Statistics37153184018438416.261.280.418-0.330
Career Totals91339318233107914211.242.264.392-1.669

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
2CPT423301001.750.7501.5000.251
4PHI402000000.625.6251.000-0.003
6PHI512103010.538.538.923-0.095
7@PAD400001000.412.412.706-0.130
8@PAD400000000.333.333.571-0.092
9@PAD400002000.280.280.480-0.233
10@ALM400002000.241.241.414-0.234
11@ALM411000000.242.242.394-0.015
12@ALM512201001.263.263.4740.221
13@KCC613200001.295.295.5450.392
14@KCC423100001.333.333.6250.192
15@KCC412200001.346.346.6730.159
16INT400001000.321.321.625-0.106
17INT412011000.333.344.6170.019
19@LAL410013000.312.333.578-0.057
20@LAL400002000.294.314.544-0.063
21@LAL512201000.301.320.5340.067
22@BAL401100100.299.316.532-0.052
23@SJS411000100.296.313.531-0.124
24@MTG401002000.294.310.518-0.067
25@SAO500002000.278.293.489-0.143
26CAR300001000.269.284.473-0.052
27STR502001000.276.290.469-0.010
28KRA400003000.265.279.451-0.148
29SEA402001000.274.287.4530.083
31LAL300000000.266.279.440-0.030
32LAL412001100.274.287.4510.029
33@INT300002000.267.280.440-0.079
35@INT511000000.264.276.430-0.224
36KCC312210100.274.291.4440.413
37KCC301001000.276.292.441-0.012
38KCC523201001.288.304.4700.291
39ALM400001000.279.295.456-0.118
40ALM300000000.273.289.446-0.028
41ALM500000000.264.279.431-0.152
42PAD501002000.262.276.423-0.159
43PAD401012000.261.280.418-0.021
43Sent down to minors by Milan

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home19768238320212.303.329.4340.152
Away1877101710118204.221.231.403-0.482
 
First half2293132514223215.269.284.473-0.165
Second half15605154215201.250.274.333-0.165
 
Batting 4th52025216001.250.286.4000.057
Batting 5th52014006100.200.200.250-0.373
Batting 6th936410518102.278.297.4720.588
Batting 7th1146583110201.174.191.283-0.932
Batting 8th52238414001.364.391.5000.174
Batting 9th2935404011.556.5561.1110.156
 
Playing 2b2288142514324314.284.308.477-0.093
Playing 3b73129206101.290.290.4190.109
Playing ss2801002000.125.125.125-0.159
Playing dh62625216001.192.222.308-0.187
 
vs. ALM62523204001.120.120.240-0.326
vs. SEA1402001000.500.500.5000.083
vs. KRA1400003000.000.000.000-0.148
vs. PAD52102017000.095.136.095-0.635
vs. BAL1401100100.250.250.500-0.052
vs. KCC625714912104.560.5771.0801.435
vs. PHI2914103010.444.444.667-0.098
vs. INT41623014000.188.235.188-0.390
vs. MTG1401002000.250.250.250-0.067
vs. STR1502001000.400.400.400-0.010
vs. CPT1423301001.750.7501.5000.251
vs. SAO1500002000.000.000.000-0.143
vs. SJS1411000100.250.250.500-0.124
vs. LAL52034217100.200.238.250-0.054
vs. CAR1300001000.000.000.000-0.052