History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"losses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1183 | 2025-07-31 03:57:12 | losses | 1 | 48755 | 15 | 0.856 | 56956.8 |
1182 | 2025-07-30 12:58:59 | losses | 1 | 48755 | 15 | 0.873 | 55847.7 |
1181 | 2025-07-25 02:00:05 | losses | 1 | 48755 | 15 | 1.940 | 25131.4 |
1180 | 2025-07-24 00:36:25 | losses | 1 | 48755 | 15 | 3.920 | 12437.5 |
1179 | 2025-07-23 16:53:49 | losses | 1 | 48755 | 15 | 6.063 | 8041.4 |
1178 | 2025-07-23 03:55:04 | losses | 1 | 48755 | 15 | 1.766 | 27607.6 |
1177 | 2025-07-22 23:41:21 | losses | 1 | 48755 | 15 | 2.546 | 19149.6 |
1176 | 2025-07-22 22:14:09 | losses | 1 | 48755 | 15 | 1.720 | 28345.9 |
1175 | 2025-07-22 21:53:06 | losses | 1 | 48755 | 15 | 1.580 | 30857.6 |
1174 | 2025-07-19 00:49:48 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
1173 | 2025-07-14 04:31:29 | losses | 1 | 48755 | 15 | 4.783 | 10193.4 |
1172 | 2025-07-13 03:27:57 | losses | 1 | 48755 | 15 | 1.013 | 48129.3 |
1171 | 2025-07-10 19:41:53 | losses | 1 | 48755 | 15 | 4.046 | 12050.2 |
1170 | 2025-07-04 01:46:04 | losses | 1 | 48755 | 15 | 3.390 | 14382.0 |
1169 | 2025-07-03 21:39:47 | losses | 1 | 48755 | 15 | 6.686 | 7292.1 |
1168 | 2025-06-28 03:01:18 | losses | 1 | 48755 | 15 | 2.406 | 20263.9 |
1167 | 2025-06-26 10:55:11 | losses | 1 | 48755 | 15 | 4.360 | 11182.3 |
1166 | 2025-06-25 07:42:58 | losses | 1 | 48755 | 15 | 4.046 | 12050.2 |
1165 | 2025-06-16 01:05:26 | losses | 1 | 48755 | 15 | 1.936 | 25183.4 |
1164 | 2025-06-12 01:51:59 | losses | 2 | 82551 | 185 | 8.656 | 9536.9 |
1163 | 2025-06-11 22:31:29 | losses | 1 | 48755 | 15 | 4.203 | 11600.0 |
1162 | 2025-06-10 09:24:43 | losses | 2 | 82551 | 185 | 9.766 | 8452.9 |
1161 | 2025-06-06 21:03:01 | losses | 1 | 48755 | 15 | 0.906 | 53813.5 |
1160 | 2025-06-02 03:00:11 | losses | 2 | 82551 | 185 | 14.626 | 5644.1 |
1159 | 2025-06-01 03:58:41 | losses | 1 | 48755 | 15 | 2.300 | 21197.8 |
1158 | 2025-05-31 20:45:05 | losses | 2 | 82551 | 185 | 11.220 | 7357.5 |
1157 | 2025-05-30 13:22:19 | losses | 2 | 82551 | 185 | 6.783 | 12170.3 |
1156 | 2025-05-27 19:04:48 | losses | 1 | 48755 | 15 | 0.890 | 54780.9 |
1155 | 2025-05-16 00:54:51 | losses | 1 | 48755 | 15 | 2.406 | 20263.9 |
1154 | 2025-05-12 20:52:51 | losses | 1 | 48755 | 15 | 0.860 | 56691.9 |
1153 | 2025-05-12 16:55:43 | losses | 1 | 48755 | 15 | 5.796 | 8411.8 |
1152 | 2025-05-11 22:31:58 | losses | 1 | 48755 | 15 | 3.986 | 12231.6 |
1151 | 2025-05-11 20:51:18 | losses | 1 | 48755 | 15 | 4.080 | 11949.8 |
1150 | 2025-05-11 14:09:03 | losses | 1 | 48755 | 15 | 4.626 | 10539.3 |
1149 | 2025-05-09 02:36:55 | losses | 1 | 48755 | 15 | 0.873 | 55847.7 |
1148 | 2025-05-06 09:29:25 | losses | 1 | 48755 | 15 | 4.640 | 10507.5 |
1147 | 2025-05-04 01:01:35 | losses | 1 | 48755 | 15 | 4.250 | 11471.8 |
1146 | 2025-05-03 22:40:59 | losses | 1 | 48755 | 15 | 1.893 | 25755.4 |
1145 | 2025-05-03 15:22:20 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
1144 | 2025-04-28 02:40:36 | losses | 1 | 48755 | 15 | 4.233 | 11517.8 |
1143 | 2025-04-23 19:44:27 | losses | 2 | 82551 | 185 | 11.703 | 7053.8 |
1142 | 2025-04-23 15:46:01 | losses | 2 | 82551 | 185 | 15.796 | 5226.1 |
1141 | 2025-04-23 09:06:20 | losses | 2 | 82551 | 185 | 14.546 | 5675.2 |
1140 | 2025-04-21 14:06:45 | losses | 2 | 82551 | 185 | 13.406 | 6157.8 |
1139 | 2025-04-20 02:36:54 | losses | 1 | 48755 | 15 | 2.050 | 23782.9 |
1138 | 2025-04-14 00:38:31 | losses | 1 | 48755 | 15 | 4.076 | 11961.5 |
1137 | 2025-04-10 22:07:01 | losses | 1 | 48755 | 15 | 5.280 | 9233.9 |
1136 | 2025-04-02 00:13:19 | losses | 1 | 48755 | 15 | 3.986 | 12231.6 |
1135 | 2025-03-19 03:27:29 | losses | 1 | 48755 | 15 | 0.733 | 66514.3 |
1134 | 2025-03-15 09:49:05 | losses | 2 | 82551 | 185 | 11.296 | 7308.0 |
1133 | 2025-03-15 00:41:30 | losses | 2 | 82551 | 185 | 15.890 | 5195.2 |
1132 | 2025-03-13 13:53:15 | losses | 1 | 48755 | 15 | 3.800 | 12830.3 |
1131 | 2025-03-11 13:42:12 | losses | 1 | 48755 | 15 | 1.876 | 25988.8 |
1130 | 2025-03-11 06:38:26 | losses | 1 | 48755 | 15 | 4.313 | 11304.2 |
1129 | 2025-03-09 11:57:18 | losses | 1 | 48755 | 15 | 4.266 | 11428.7 |
1128 | 2025-03-01 10:18:36 | losses | 1 | 48755 | 15 | 3.936 | 12386.9 |
1127 | 2025-02-27 18:38:53 | losses | 2 | 82551 | 185 | 9.846 | 8384.2 |
1126 | 2025-02-27 14:35:32 | losses | 2 | 82551 | 185 | 6.060 | 13622.3 |
1125 | 2025-02-25 09:35:25 | losses | 1 | 48755 | 15 | 2.000 | 24377.5 |
1124 | 2025-02-25 01:20:56 | losses | 2 | 82551 | 185 | 12.720 | 6489.9 |
1123 | 2025-02-24 19:05:02 | losses | 1 | 48755 | 15 | 4.360 | 11182.3 |
1122 | 2025-02-24 19:03:23 | losses | 2 | 82551 | 185 | 15.533 | 5314.6 |
1121 | 2025-02-18 11:50:18 | losses | 1 | 48755 | 15 | 5.126 | 9511.3 |
1120 | 2025-02-14 09:13:14 | losses | 1 | 48755 | 15 | 3.266 | 14928.0 |
1119 | 2025-02-09 04:42:13 | losses | 1 | 48755 | 15 | 4.236 | 11509.7 |
1118 | 2025-02-07 11:34:02 | losses | 1 | 48755 | 15 | 2.780 | 17537.8 |
1117 | 2025-02-05 16:20:13 | losses | 2 | 82551 | 185 | 6.936 | 11901.8 |
1116 | 2025-01-28 10:38:31 | losses | 1 | 48755 | 15 | 4.106 | 11874.1 |
1115 | 2025-01-25 14:16:48 | losses | 1 | 48755 | 15 | 4.060 | 12008.6 |
1114 | 2024-12-28 19:35:44 | losses | 1 | 48755 | 15 | 2.296 | 21234.8 |
1113 | 2024-12-28 13:57:53 | losses | 1 | 48755 | 15 | 0.733 | 66514.3 |
1112 | 2024-12-26 09:40:54 | losses | 1 | 48755 | 15 | 2.216 | 22001.4 |
1111 | 2024-12-10 16:41:07 | losses | 1 | 48755 | 15 | 1.953 | 24964.2 |
1110 | 2024-12-09 04:21:15 | losses | 1 | 48755 | 15 | 2.203 | 22131.2 |
1109 | 2024-11-30 14:31:41 | losses | 1 | 48755 | 15 | 3.533 | 13799.9 |
1108 | 2024-11-27 10:17:03 | losses | 1 | 48755 | 15 | 4.403 | 11073.1 |
1107 | 2024-11-26 07:37:05 | losses | 1 | 48755 | 15 | 6.076 | 8024.2 |
1106 | 2024-11-10 17:12:31 | losses | 2 | 82551 | 185 | 12.326 | 6697.3 |
1105 | 2024-11-10 09:21:16 | losses | 1 | 48755 | 15 | 2.190 | 22262.6 |
1104 | 2024-11-09 07:48:53 | losses | 2 | 82551 | 185 | 11.906 | 6933.6 |
1103 | 2024-11-09 03:25:36 | losses | 2 | 82551 | 185 | 16.453 | 5017.4 |
1102 | 2024-11-09 01:57:45 | losses | 1 | 48755 | 15 | 1.970 | 24748.7 |
1101 | 2024-10-28 08:01:41 | losses | 1 | 48755 | 15 | 4.606 | 10585.1 |
1100 | 2024-10-27 03:55:06 | losses | 1 | 48755 | 15 | 4.170 | 11691.8 |
1099 | 2024-10-09 13:05:35 | losses | 2 | 82551 | 185 | 6.296 | 13111.7 |
1098 | 2024-10-09 09:03:54 | losses | 2 | 82551 | 185 | 11.750 | 7025.6 |
1097 | 2024-10-09 09:02:29 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
1096 | 2024-09-28 06:19:03 | losses | 1 | 48755 | 15 | 5.470 | 8913.2 |
1095 | 2024-09-27 02:05:36 | losses | 1 | 48755 | 15 | 3.110 | 15676.8 |
1094 | 2024-09-08 20:53:20 | losses | 1 | 48755 | 15 | 7.890 | 6179.3 |
1093 | 2024-09-08 16:47:27 | losses | 1 | 48755 | 15 | 3.360 | 14510.4 |
1092 | 2024-09-01 15:18:53 | losses | 1 | 48755 | 15 | 4.500 | 10834.4 |
1091 | 2024-08-29 05:57:21 | losses | 1 | 48755 | 15 | 7.720 | 6315.4 |
1090 | 2024-08-28 10:03:03 | losses | 1 | 48755 | 15 | 4.860 | 10031.9 |
1089 | 2024-08-26 14:07:14 | losses | 1 | 48755 | 15 | 6.046 | 8064.0 |
1088 | 2024-08-13 04:03:07 | losses | 2 | 82551 | 185 | 8.923 | 9251.5 |
1087 | 2024-08-10 06:13:52 | losses | 1 | 48755 | 15 | 4.810 | 10136.2 |
1086 | 2024-08-08 03:53:52 | losses | 1 | 48755 | 15 | 1.670 | 29194.6 |
1085 | 2024-08-06 02:23:30 | losses | 1 | 48755 | 15 | 3.170 | 15380.1 |
1084 | 2024-07-31 03:51:21 | losses | 1 | 48755 | 15 | 3.080 | 15829.5 |