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 |
| 1221 | 2025-12-03 14:57:17 | losses | 1 | 48755 | 15 | 0.750 | 65006.7 |
| 1220 | 2025-11-30 03:40:54 | losses | 1 | 48755 | 15 | 0.893 | 54596.9 |
| 1219 | 2025-11-25 23:45:15 | losses | 1 | 48755 | 15 | 1.266 | 38511.1 |
| 1218 | 2025-11-19 17:49:32 | losses | 1 | 48755 | 15 | 0.810 | 60191.4 |
| 1217 | 2025-11-16 09:21:10 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
| 1216 | 2025-11-15 15:37:01 | losses | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1215 | 2025-11-15 05:50:46 | losses | 1 | 48755 | 15 | 0.903 | 53992.2 |
| 1214 | 2025-11-12 08:24:10 | losses | 1 | 48755 | 15 | 0.906 | 53813.5 |
| 1213 | 2025-11-11 19:02:38 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
| 1212 | 2025-11-10 01:14:09 | losses | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1211 | 2025-10-22 23:54:41 | losses | 1 | 48755 | 15 | 3.873 | 12588.4 |
| 1210 | 2025-10-22 14:46:30 | losses | 2 | 82551 | 185 | 12.126 | 6807.8 |
| 1209 | 2025-10-22 14:46:22 | losses | 2 | 82551 | 185 | 12.986 | 6356.9 |
| 1208 | 2025-10-22 14:45:57 | losses | 2 | 82551 | 185 | 11.796 | 6998.2 |
| 1207 | 2025-10-22 14:45:28 | losses | 2 | 82551 | 185 | 18.873 | 4374.0 |
| 1206 | 2025-10-22 12:42:48 | losses | 1 | 48755 | 15 | 0.923 | 52822.3 |
| 1205 | 2025-10-06 08:10:36 | losses | 1 | 48755 | 15 | 0.856 | 56956.8 |
| 1204 | 2025-09-30 15:55:13 | losses | 1 | 48755 | 15 | 0.843 | 57835.1 |
| 1203 | 2025-09-25 04:05:13 | losses | 1 | 48755 | 15 | 0.876 | 55656.4 |
| 1202 | 2025-09-22 13:54:21 | losses | 1 | 48755 | 15 | 0.766 | 63648.8 |
| 1201 | 2025-09-06 00:56:30 | losses | 1 | 48755 | 15 | 0.780 | 62506.4 |
| 1200 | 2025-09-03 19:26:44 | losses | 1 | 48755 | 15 | 0.813 | 59969.2 |
| 1199 | 2025-08-31 11:48:50 | losses | 1 | 48755 | 15 | 0.813 | 59969.2 |
| 1198 | 2025-08-30 21:56:37 | losses | 1 | 48755 | 15 | 0.890 | 54780.9 |
| 1197 | 2025-08-26 23:52:55 | losses | 1 | 48755 | 15 | 3.500 | 13930.0 |
| 1196 | 2025-08-25 14:36:25 | losses | 2 | 82551 | 185 | 15.330 | 5384.9 |
| 1195 | 2025-08-24 22:13:33 | losses | 1 | 48755 | 15 | 3.406 | 14314.4 |
| 1194 | 2025-08-23 02:21:27 | losses | 1 | 48755 | 15 | 5.546 | 8791.0 |
| 1193 | 2025-08-22 19:59:20 | losses | 2 | 82551 | 185 | 12.486 | 6611.5 |
| 1192 | 2025-08-22 15:51:48 | losses | 2 | 82551 | 185 | 2.640 | 31269.3 |
| 1191 | 2025-08-21 15:00:30 | losses | 2 | 82551 | 185 | 5.830 | 14159.7 |
| 1190 | 2025-08-19 13:04:18 | losses | 2 | 82551 | 185 | 5.813 | 14201.1 |
| 1189 | 2025-08-12 04:29:00 | losses | 1 | 48755 | 15 | 1.720 | 28345.9 |
| 1188 | 2025-08-05 10:12:13 | losses | 2 | 82551 | 185 | 6.220 | 13271.9 |
| 1187 | 2025-08-04 02:14:02 | losses | 1 | 48755 | 15 | 1.686 | 28917.6 |
| 1186 | 2025-08-01 09:01:47 | losses | 1 | 48755 | 15 | 3.000 | 16251.7 |
| 1185 | 2025-08-01 04:26:01 | losses | 2 | 82551 | 185 | 11.983 | 6889.0 |
| 1184 | 2025-08-01 01:26:07 | losses | 1 | 48755 | 15 | 3.576 | 13633.9 |
| 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 |