The intelligent person is able to identify a problem and find its optimum solution. Hence, intelligence is effectiveness.
| Game | Time | WPM | Accuracy |
|---|---|---|---|
| 103095 | 2023-11-04 19:30:05 | 159.46 | 100% |
| 46934 | 2017-01-13 21:37:17 | 124.42 | 97% |
| 42726 | 2016-11-25 22:14:33 | 114.14 | 90% |
| 41642 | 2016-11-16 21:56:12 | 112.93 | 89% |
| 41630 | 2016-11-16 21:48:45 | 150.05 | 100% |
| 40361 | 2016-10-25 20:19:10 | 118.21 | 92% |
| 38276 | 2016-10-07 19:44:19 | 119.22 | 91% |
| 38078 | 2016-10-06 18:23:50 | 85.78 | 85% |
| 37725 | 2016-10-04 19:39:11 | 106.84 | 95% |
| 37279 | 2016-09-30 20:16:42 | 93.23 | 85% |
| 37196 | 2016-09-30 18:42:14 | 108.57 | 100% |
| 36515 | 2016-09-24 13:07:16 | 105.88 | 93% |
| 36514 | 2016-09-24 13:06:56 | 107.56 | 95% |
| 36513 | 2016-09-24 13:06:34 | 106.35 | 85% |
| 36427 | 2016-09-23 20:09:38 | 109.83 | 95% |
| 35198 | 2016-09-12 20:38:14 | 96.57 | 92% |
| 35098 | 2016-09-11 21:38:27 | 77.24 | 85% |
| 34988 | 2016-09-11 20:00:59 | 94.13 | 83% |
| 34940 | 2016-09-10 21:20:35 | 86.16 | 88% |
| 34530 | 2016-09-08 19:53:24 | 101.57 | 89% |
| 34241 | 2016-09-05 20:29:52 | 125.88 | 100% |
| 33169 | 2016-08-27 17:02:50 | 93.70 | 88% |
| 32980 | 2016-08-25 19:25:32 | 82.70 | 83% |
| 32911 | 2016-08-25 17:53:26 | 93.39 | 91% |
| 32813 | 2016-08-24 21:06:28 | 85.31 | 85% |
| 32758 | 2016-08-24 20:18:01 | 79.22 | 86% |
| 32659 | 2016-08-24 11:11:04 | 102.61 | 94% |
| 32584 | 2016-08-23 18:26:43 | 86.63 | 84% |
| 32534 | 2016-08-23 17:52:13 | 106.58 | 96% |
| 32178 | 2016-08-21 19:51:31 | 107.66 | 98% |
| 32149 | 2016-08-21 18:02:04 | 87.15 | 84% |
| 32118 | 2016-08-21 17:38:08 | 87.68 | 85% |
| 31514 | 2016-08-18 21:05:56 | 83.51 | 83% |
| 30218 | 2016-08-07 21:35:39 | 108.70 | 95% |
| 29706 | 2016-08-05 20:22:54 | 119.10 | 97% |
| 28921 | 2016-07-31 19:04:45 | 104.57 | 92% |
| 28258 | 2016-07-27 18:55:20 | 107.58 | 97% |
| 28230 | 2016-07-27 18:07:39 | 121.46 | 98% |
| 28170 | 2016-07-26 20:30:04 | 94.00 | 88% |
| 28136 | 2016-07-26 18:41:33 | 96.40 | 89% |
| 27900 | 2016-07-26 11:35:39 | 103.85 | 93% |
| 27895 | 2016-07-26 11:28:06 | 78.63 | 82% |
| 27893 | 2016-07-26 11:25:06 | 118.45 | 98% |
| 27494 | 2016-07-24 20:34:14 | 102.68 | 95% |
| 27391 | 2016-07-24 18:09:06 | 72.13 | 77% |
| 26293 | 2016-07-16 13:16:23 | 79.83 | 88% |
| 26234 | 2016-07-16 12:32:39 | 74.46 | 80% |
| 26210 | 2016-07-16 12:14:02 | 98.14 | 94% |
| 25965 | 2016-07-14 14:38:08 | 80.53 | 90% |
| 25681 | 2016-07-13 14:45:43 | 94.04 | 92% |
| 25517 | 2016-07-12 17:09:05 | 107.74 | 92% |
| 25409 | 2016-07-11 19:00:38 | 96.54 | 82% |
| 24717 | 2016-07-06 12:01:05 | 88.62 | 90% |
| 24276 | 2016-07-05 09:22:05 | 99.23 | 95% |
| 24064 | 2016-07-04 11:58:04 | 94.67 | 89% |
| 23869 | 2016-07-03 15:25:31 | 103.66 | 98% |
| 23525 | 2016-07-02 21:11:38 | 89.62 | 88% |
| 23459 | 2016-07-02 20:29:40 | 75.07 | 85% |
| 22929 | 2016-07-01 18:07:12 | 88.36 | 90% |
| 22789 | 2016-07-01 14:50:30 | 96.93 | 91% |
| 22768 | 2016-07-01 14:37:25 | 103.57 | 95% |
| 22764 | 2016-07-01 14:34:43 | 99.23 | 90% |
| 22676 | 2016-06-30 19:26:59 | 92.42 | 89% |
| 22527 | 2016-06-29 18:57:21 | 99.84 | 98% |
| 22132 | 2016-06-28 18:22:31 | 98.98 | 95% |
| 22073 | 2016-06-28 17:36:35 | 106.19 | 95% |
| 21729 | 2016-06-27 18:14:30 | 95.05 | 92% |
| 21619 | 2016-06-26 17:49:03 | 77.96 | 83% |
| 21086 | 2016-06-24 17:32:40 | 86.69 | 91% |
| 20959 | 2016-06-23 20:24:19 | 77.40 | 82% |
| 20213 | 2016-06-20 20:56:24 | 84.02 | 88% |
| 19728 | 2016-06-19 17:06:33 | 59.25 | 86% |
| 19716 | 2016-06-19 16:57:38 | 91.41 | 93% |
| 19663 | 2016-06-19 16:14:01 | 96.16 | 95% |
| 19180 | 2016-06-17 15:56:14 | 83.53 | 94% |
| 18720 | 2016-06-14 20:36:30 | 77.38 | 85% |
| 18089 | 2016-06-10 15:51:59 | 93.67 | 90% |
| 17957 | 2016-06-09 14:53:57 | 86.56 | 89% |
| 17763 | 2016-06-08 14:43:30 | 72.31 | 79% |
| 17467 | 2016-06-05 14:58:25 | 73.05 | 80% |
| 17293 | 2016-06-04 19:47:33 | 74.88 | 85% |
| 16500 | 2016-06-01 19:32:02 | 81.31 | 86% |
| 15721 | 2016-05-28 20:54:46 | 88.37 | 95% |
| 15004 | 2016-05-21 13:33:09 | 59.19 | 79% |
| 14760 | 2016-05-19 21:43:33 | 81.08 | 92% |
| 14578 | 2016-05-18 21:04:32 | 68.38 | 86% |
| 14401 | 2016-05-18 13:52:20 | 67.15 | 82% |
| 13822 | 2016-05-15 17:11:13 | 82.89 | 90% |
| 13513 | 2016-05-13 20:40:02 | 82.98 | 91% |
| 13399 | 2016-05-12 17:15:49 | 105.37 | 98% |
| 13338 | 2016-05-12 12:37:10 | 77.67 | 90% |
| 13298 | 2016-05-12 11:22:12 | 78.34 | 82% |
| 13224 | 2016-05-11 14:28:49 | 81.14 | 90% |
| 12989 | 2016-05-09 21:03:28 | 78.59 | 88% |
| 12955 | 2016-05-09 11:51:20 | 79.13 | 92% |
| 12301 | 2016-05-03 12:10:18 | 89.70 | 91% |
| 12038 | 2016-05-01 18:17:33 | 84.13 | 93% |
| 11883 | 2016-05-01 14:10:24 | 79.68 | 87% |
| 11759 | 2016-04-30 20:47:30 | 80.50 | 89% |
| 11513 | 2016-04-29 11:41:38 | 93.39 | 94% |
| 11264 | 2016-04-27 12:00:27 | 75.55 | 82% |
| 11175 | 2016-04-26 14:23:38 | 72.88 | 87% |
| 10967 | 2016-04-25 11:52:44 | 85.97 | 91% |
| 10885 | 2016-04-24 20:28:51 | 78.35 | 88% |
| 10871 | 2016-04-24 20:13:42 | 66.03 | 81% |
| 10859 | 2016-04-24 17:49:25 | 74.10 | 85% |
| 10313 | 2016-04-20 14:27:39 | 62.74 | 81% |
| 10310 | 2016-04-20 14:25:34 | 81.88 | 93% |
| 10255 | 2016-04-20 09:35:02 | 60.63 | 81% |
| 9406 | 2016-04-16 19:14:06 | 77.94 | 91% |
| 9344 | 2016-04-16 15:33:31 | 72.72 | 88% |
| 9318 | 2016-04-16 15:08:48 | 64.93 | 83% |
| 9032 | 2016-04-14 20:52:21 | 67.21 | 88% |
| 8033 | 2016-04-07 19:13:50 | 68.17 | 87% |
| 7258 | 2016-04-04 13:49:47 | 70.11 | 86% |
| 7153 | 2016-04-03 17:35:28 | 83.28 | 95% |
| 6690 | 2016-03-31 19:50:53 | 67.15 | 85% |
| 6569 | 2016-03-31 15:45:20 | 73.14 | 88% |
| 5199 | 2016-03-20 15:24:42 | 85.51 | 96% |
| 3534 | 2016-03-05 11:08:59 | 72.72 | 92% |
| 2602 | 2016-02-24 20:32:08 | 83.26 | 86% |
| 2376 | 2016-02-21 20:32:41 | 70.25 | 90% |
| 2330 | 2016-02-21 16:09:23 | 77.76 | 92% |
| 1343 | 2016-02-06 15:16:50 | 83.97 | 94% |