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 |
| 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 |
| 539 | 2025-09-16 23:11:43 | overtrained | 4 | 148819 | 239 | 8.346 | 17831.2 |
| 538 | 2025-09-15 21:02:51 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 537 | 2025-09-13 22:13:19 | overtrained | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 536 | 2025-09-10 07:56:45 | overtrained | 1 | 49908 | 2 | 0.936 | 53320.5 |
| 535 | 2025-09-02 18:36:43 | overtrained | 3 | 121633 | 46 | 5.220 | 23301.3 |
| 534 | 2025-09-02 12:19:45 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 533 | 2025-08-30 12:41:17 | overtrained | 4 | 148819 | 239 | 16.126 | 9228.5 |
| 532 | 2025-08-27 18:25:21 | overtrained | 1 | 49908 | 2 | 1.250 | 39926.4 |
| 531 | 2025-08-26 01:38:25 | overtrained | 1 | 49908 | 2 | 0.736 | 67809.8 |
| 530 | 2025-08-25 12:01:46 | overtrained | 1 | 49908 | 2 | 3.813 | 13088.9 |
| 529 | 2025-08-19 10:53:09 | overtrained | 2 | 86808 | 6 | 5.970 | 14540.7 |
| 528 | 2025-08-18 10:08:01 | overtrained | 3 | 121633 | 46 | 5.580 | 21798.0 |
| 527 | 2025-08-18 03:13:05 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 526 | 2025-08-16 20:11:14 | overtrained | 1 | 49908 | 2 | 1.860 | 26832.3 |
| 525 | 2025-08-16 06:33:02 | overtrained | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 524 | 2025-08-15 23:35:24 | overtrained | 4 | 148819 | 239 | 22.893 | 6500.6 |
| 523 | 2025-08-15 12:57:30 | overtrained | 4 | 148819 | 239 | 24.313 | 6121.0 |
| 522 | 2025-08-14 18:25:41 | overtrained | 3 | 121633 | 46 | 5.080 | 23943.5 |
| 521 | 2025-08-14 15:11:43 | overtrained | 1 | 49908 | 2 | 1.126 | 44323.3 |
| 520 | 2025-08-13 02:29:06 | overtrained | 4 | 148819 | 239 | 44.596 | 3337.0 |
| 519 | 2025-08-09 15:07:57 | overtrained | 1 | 49908 | 2 | 4.610 | 10826.0 |
| 518 | 2025-08-09 01:38:30 | overtrained | 1 | 49908 | 2 | 2.690 | 18553.2 |
| 517 | 2025-08-08 11:37:10 | overtrained | 1 | 49908 | 2 | 1.593 | 31329.6 |
| 516 | 2025-08-02 13:48:55 | overtrained | 1 | 49908 | 2 | 3.280 | 15215.9 |
| 515 | 2025-08-01 06:49:45 | overtrained | 1 | 49908 | 2 | 6.143 | 8124.4 |
| 514 | 2025-07-24 17:17:55 | overtrained | 1 | 49908 | 2 | 2.610 | 19121.8 |
| 513 | 2025-07-23 19:19:38 | overtrained | 1 | 49908 | 2 | 1.903 | 26226.0 |
| 512 | 2025-07-21 04:50:53 | overtrained | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 511 | 2025-07-17 16:33:34 | overtrained | 1 | 49908 | 2 | 3.000 | 16636.0 |
| 510 | 2025-07-16 07:54:26 | overtrained | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 509 | 2025-07-15 09:23:25 | overtrained | 3 | 121633 | 46 | 24.690 | 4926.4 |
| 508 | 2025-07-13 16:28:41 | overtrained | 1 | 49908 | 2 | 1.656 | 30137.7 |
| 507 | 2025-07-13 08:56:15 | overtrained | 1 | 49908 | 2 | 1.736 | 28748.8 |
| 506 | 2025-07-09 23:30:35 | overtrained | 3 | 121633 | 46 | 20.033 | 6071.6 |
| 505 | 2025-07-07 14:41:08 | overtrained | 1 | 49908 | 2 | 2.550 | 19571.8 |
| 504 | 2025-07-04 23:34:38 | overtrained | 3 | 121633 | 46 | 24.713 | 4921.8 |
| 503 | 2025-07-04 05:46:39 | overtrained | 3 | 121633 | 46 | 18.720 | 6497.5 |
| 502 | 2025-07-03 23:17:06 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 501 | 2025-06-28 08:23:55 | overtrained | 4 | 148819 | 239 | 43.250 | 3440.9 |
| 500 | 2025-06-27 12:22:58 | overtrained | 3 | 121633 | 46 | 6.953 | 17493.6 |
| 499 | 2025-06-25 23:42:09 | overtrained | 1 | 49908 | 2 | 1.873 | 26646.0 |
| 498 | 2025-06-25 12:45:59 | overtrained | 4 | 148819 | 239 | 25.750 | 5779.4 |
| 497 | 2025-06-20 04:59:38 | overtrained | 4 | 148819 | 239 | 34.753 | 4282.2 |
| 496 | 2025-06-19 23:57:02 | overtrained | 4 | 148819 | 239 | 66.706 | 2231.0 |
| 495 | 2025-06-19 05:39:09 | overtrained | 2 | 86808 | 6 | 2.453 | 35388.5 |