History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overtrained"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 639 | 2026-04-17 10:09:56 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 638 | 2026-04-16 23:30:42 | overtrained | 1 | 49908 | 2 | 4.156 | 12008.7 |
| 637 | 2026-04-12 10:54:44 | overtrained | 1 | 49908 | 2 | 1.216 | 41042.8 |
| 636 | 2026-04-12 05:26:14 | overtrained | 4 | 148819 | 239 | 45.876 | 3243.9 |
| 635 | 2026-04-12 05:25:26 | overtrained | 4 | 148819 | 239 | 61.756 | 2409.8 |
| 634 | 2026-04-12 05:25:45 | overtrained | 4 | 148819 | 239 | 29.143 | 5106.5 |
| 633 | 2026-04-11 18:40:39 | overtrained | 1 | 49908 | 2 | 1.893 | 26364.5 |
| 632 | 2026-04-09 20:34:12 | overtrained | 3 | 121633 | 46 | 4.516 | 26933.8 |
| 631 | 2026-04-09 01:09:34 | overtrained | 3 | 121633 | 46 | 7.983 | 15236.5 |
| 630 | 2026-04-03 12:27:35 | overtrained | 1 | 49908 | 2 | 4.093 | 12193.5 |
| 629 | 2026-04-03 12:26:11 | overtrained | 1 | 49908 | 2 | 5.720 | 8725.2 |
| 628 | 2026-04-03 09:56:51 | overtrained | 1 | 49908 | 2 | 5.563 | 8971.4 |
| 627 | 2026-04-01 20:02:39 | overtrained | 3 | 121633 | 46 | 13.686 | 8887.4 |
| 626 | 2026-03-30 14:55:28 | overtrained | 1 | 49908 | 2 | 2.216 | 22521.7 |
| 625 | 2026-03-29 17:35:13 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 624 | 2026-03-28 08:07:22 | overtrained | 1 | 49908 | 2 | 2.203 | 22654.6 |
| 623 | 2026-03-15 01:49:23 | overtrained | 3 | 121633 | 46 | 31.593 | 3850.0 |
| 622 | 2026-03-12 11:00:58 | overtrained | 4 | 148819 | 239 | 10.483 | 14196.2 |
| 621 | 2026-03-12 03:19:10 | overtrained | 1 | 49908 | 2 | 1.656 | 30137.7 |
| 620 | 2026-03-07 04:40:49 | overtrained | 2 | 86808 | 6 | 2.063 | 42078.5 |
| 619 | 2026-03-06 05:29:38 | overtrained | 2 | 86808 | 6 | 3.030 | 28649.5 |
| 618 | 2026-03-06 03:54:03 | overtrained | 4 | 148819 | 239 | 12.233 | 12165.4 |
| 617 | 2026-03-01 15:18:53 | overtrained | 1 | 49908 | 2 | 1.173 | 42547.3 |
| 616 | 2026-02-28 09:38:39 | overtrained | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 615 | 2026-02-26 23:27:56 | overtrained | 1 | 49908 | 2 | 0.903 | 55269.1 |
| 614 | 2026-02-16 06:31:31 | overtrained | 2 | 86808 | 6 | 3.936 | 22054.9 |
| 613 | 2026-02-13 10:50:47 | overtrained | 1 | 49908 | 2 | 3.906 | 12777.3 |
| 612 | 2026-02-11 17:10:13 | overtrained | 1 | 49908 | 2 | 1.546 | 32282.0 |
| 611 | 2026-02-08 12:28:40 | overtrained | 1 | 49908 | 2 | 1.920 | 25993.8 |
| 610 | 2026-02-08 11:07:49 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 609 | 2026-02-04 22:31:20 | overtrained | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 608 | 2026-02-02 00:14:39 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 607 | 2026-02-01 19:05:22 | overtrained | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 606 | 2026-01-28 21:37:26 | overtrained | 1 | 49908 | 2 | 1.080 | 46211.1 |
| 605 | 2026-01-28 17:31:25 | overtrained | 4 | 148819 | 239 | 12.326 | 12073.6 |
| 604 | 2026-01-28 00:17:37 | overtrained | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 603 | 2026-01-27 05:53:48 | overtrained | 1 | 49908 | 2 | 4.060 | 12292.6 |
| 602 | 2026-01-22 04:05:48 | overtrained | 1 | 49908 | 2 | 1.126 | 44323.3 |
| 601 | 2026-01-22 00:58:02 | overtrained | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 600 | 2026-01-21 18:48:58 | overtrained | 4 | 148819 | 239 | 28.610 | 5201.6 |
| 599 | 2026-01-19 08:02:53 | overtrained | 1 | 49908 | 2 | 3.576 | 13956.4 |
| 598 | 2026-01-15 05:04:46 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 597 | 2026-01-14 03:42:57 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 596 | 2026-01-10 14:23:58 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 595 | 2026-01-10 12:36:30 | overtrained | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 594 | 2026-01-08 23:21:30 | overtrained | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 593 | 2026-01-07 10:55:03 | overtrained | 1 | 49908 | 2 | 0.910 | 54844.0 |
| 592 | 2026-01-07 01:23:42 | overtrained | 1 | 49908 | 2 | 0.783 | 63739.5 |
| 591 | 2026-01-01 08:31:15 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 590 | 2025-12-31 11:26:28 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 589 | 2025-12-30 17:01:33 | overtrained | 1 | 49908 | 2 | 1.220 | 40908.2 |
| 588 | 2025-12-25 05:23:24 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 587 | 2025-12-25 01:07:52 | overtrained | 1 | 49908 | 2 | 1.436 | 34754.9 |
| 586 | 2025-12-24 19:34:18 | overtrained | 4 | 148819 | 239 | 11.826 | 12584.1 |
| 585 | 2025-12-21 22:42:00 | overtrained | 1 | 49908 | 2 | 1.653 | 30192.4 |
| 584 | 2025-12-19 13:21:16 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 583 | 2025-12-17 21:47:58 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 582 | 2025-12-15 06:33:28 | overtrained | 1 | 49908 | 2 | 1.686 | 29601.4 |
| 581 | 2025-12-14 11:59:57 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 580 | 2025-12-13 16:55:08 | overtrained | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 579 | 2025-12-12 22:57:40 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 578 | 2025-12-12 06:11:50 | overtrained | 1 | 49908 | 2 | 3.533 | 14126.2 |
| 577 | 2025-12-07 14:56:49 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 576 | 2025-12-03 11:18:59 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 575 | 2025-12-01 18:22:35 | overtrained | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 574 | 2025-11-30 21:26:59 | overtrained | 1 | 49908 | 2 | 1.530 | 32619.6 |
| 573 | 2025-11-30 18:32:57 | overtrained | 1 | 49908 | 2 | 0.846 | 58992.9 |
| 572 | 2025-11-29 09:25:14 | overtrained | 4 | 148819 | 239 | 9.560 | 15566.8 |
| 571 | 2025-11-28 16:53:06 | overtrained | 4 | 148819 | 239 | 26.796 | 5553.8 |
| 570 | 2025-11-27 15:42:29 | overtrained | 4 | 148819 | 239 | 8.330 | 17865.4 |
| 569 | 2025-11-24 18:17:33 | overtrained | 4 | 148819 | 239 | 11.060 | 13455.6 |
| 568 | 2025-11-24 02:27:00 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 567 | 2025-11-23 03:32:07 | overtrained | 1 | 49908 | 2 | 1.686 | 29601.4 |
| 566 | 2025-11-22 04:25:56 | overtrained | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 565 | 2025-11-13 20:47:04 | overtrained | 1 | 49908 | 2 | 1.673 | 29831.4 |
| 564 | 2025-11-08 09:44:54 | overtrained | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 563 | 2025-11-05 15:59:14 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 562 | 2025-11-05 12:25:34 | overtrained | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 561 | 2025-11-04 12:07:39 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 560 | 2025-11-01 19:23:04 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 559 | 2025-10-26 17:10:43 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 558 | 2025-10-26 13:03:14 | overtrained | 2 | 86808 | 6 | 2.233 | 38875.1 |
| 557 | 2025-10-19 03:50:27 | overtrained | 1 | 49908 | 2 | 1.623 | 30750.5 |
| 556 | 2025-10-18 04:15:58 | overtrained | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 555 | 2025-10-15 09:20:34 | overtrained | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 554 | 2025-10-13 15:18:16 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 553 | 2025-10-11 09:39:33 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 552 | 2025-10-11 00:39:08 | overtrained | 3 | 121633 | 46 | 4.393 | 27687.9 |
| 551 | 2025-10-11 00:22:12 | overtrained | 3 | 121633 | 46 | 4.436 | 27419.5 |
| 550 | 2025-10-10 06:54:02 | overtrained | 4 | 148819 | 239 | 11.750 | 12665.4 |
| 549 | 2025-10-09 17:54:59 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 548 | 2025-10-07 23:51:09 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 547 | 2025-10-07 04:21:51 | overtrained | 1 | 49908 | 2 | 1.750 | 28518.9 |
| 546 | 2025-10-04 04:20:02 | overtrained | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 545 | 2025-10-02 12:28:09 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 544 | 2025-09-29 08:55:46 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 543 | 2025-09-26 03:28:33 | overtrained | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 542 | 2025-09-19 04:54:32 | overtrained | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 541 | 2025-09-18 20:04:08 | overtrained | 3 | 121633 | 46 | 5.220 | 23301.3 |
| 540 | 2025-09-17 00:15:13 | overtrained | 1 | 49908 | 2 | 0.800 | 62385.0 |