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Jennifer O'Neill

Milan Models | Age: 29 | Second Base

Career Statistics | Game Log | Splits

 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Year 103 Statistics38154164021215718.260.269.474-0.312

Game Log
DayOpp.AB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
1@LAL401000100.250.250.500-0.055
2@LAL301010000.286.375.4290.024
3@SJS401001000.273.333.364-0.057
5@LPM502100110.312.353.562-0.136
6@LPM400001000.250.286.450-0.065
8MTG400001000.208.240.375-0.155
9VAT300001000.185.214.333-0.074
10VAT422301001.226.250.4520.367
11TAT311000000.235.257.441-0.034
13CPT411100001.237.256.500-0.006
15BAL411000000.238.256.476-0.043
16BAL522402001.255.271.5320.252
17SEA300010000.240.269.500-0.017
18SEA401100000.241.268.4810.055
19@CAN512101200.254.279.5080.044
20@CAN401000000.254.277.492-0.016
21@ARK400000000.239.261.463-0.165
22@ARK400001000.225.247.437-0.286
24@INT702101000.231.250.423-0.128
26@KRA402000000.244.262.4270.089
28@KRA511100000.241.258.4140.036
29@KRA300000000.233.250.400-0.050
31STR401100000.234.250.3940.054
32STR413100001.255.270.4390.193
33STR300001000.248.262.426-0.047
35@APX401000000.248.262.419-0.024
36@APX400000000.239.252.404-0.161
38@APX412000100.248.261.4160.022
39@APX402000100.256.269.4270.009
40PAD503001000.270.282.4340.167
41PAD422100101.278.289.468-0.017
42PAD411100001.277.288.4850.066
43PAD401002000.276.287.478-0.029
45@LIS500000000.266.277.460-0.210
47@LIS411300001.266.276.4760.163
48LIS401000000.265.275.469-0.025
49LIS300001000.260.270.460-0.049
50LIS411100001.260.269.474-0.004

Splits
 GAB RHRBI BBK2B 3BHRAvg. OBPSlg.WPA
Home1973122114110107.288.297.5890.654
Away1981419715611.235.244.370-0.966
 
First half197881812210413.231.250.423-0.495
Second half1976822905305.289.289.5260.183
 
Batting 4th31303201110.231.231.462-0.236
Batting 5th187712231406406.299.299.5840.166
Batting 6th1764414528202.219.242.344-0.242
 
Playing 2b38154164021215718.260.269.474-0.312
 
vs. SEA2701110000.143.250.1430.038
vs. APX41615000200.312.312.438-0.154
vs. KRA31213100000.250.250.2500.075
vs. PAD41737203102.412.412.8240.187
vs. BAL2933402001.333.333.6670.209
vs. CAN2913101200.333.333.5560.028
vs. LIS52023401002.150.150.450-0.125
vs. VAT2722302001.286.286.7140.293
vs. INT1702101000.286.286.286-0.128
vs. MTG1400001000.000.000.000-0.155
vs. LPM2902101110.222.222.556-0.201
vs. ARK2800001000.000.000.000-0.451
vs. STR31114201001.364.364.6360.200
vs. CPT1411100001.250.2501.000-0.006
vs. SJS1401001000.250.250.250-0.057
vs. LAL2702010100.286.375.429-0.031
vs. TAT1311000000.333.333.333-0.034