Country:
India
| Races | 7 |
|---|---|
| Best last 10 races | 0 wpm |
| Best single race | 46.32 wpm |
| 38.31 wpm | |
| Fastest race from each text, average | 36.734 wpm (5 total texts raced) |
| Wins | 6 (85.71%) |
| Points | 0.00 |
| Average career speed | 38.31 wpm |
| Accuracy | 90.57% |
| 100% accuracy races | 0 wpm (0% of all races) |
| Career standard deviation | 5.97 wpm |
| Coefficient of variation | 15.59% |
| Top marathon | 2 races in 24 hours, starting 2016 July 23, 4:53pm |
View Pit Stop page for Sai (dsairam17)
View text analysis of races by Sai (dsairam17)
| Month | Average | Best | Races | Wins | Win % |
|---|---|---|---|---|---|
| May 2017 | 43.95 | 43.95 | 1 | 1 | 100 |
| April 2017 | 43.41 | 46.32 | 2 | 2 | 100 |
| September 2016 | 38.12 | 40.54 | 2 | 2 | 100 |
| July 2016 | 30.58 | 33.54 | 2 | 1 | 50.00 |
| Race | Date | WPM | Text | Outcome | Acc. | Points |
|---|---|---|---|---|---|---|
| 7. | 2017-05-16 04:56:12 | 43.95 | print "Using URL", url req = urllib2.Request(url) fd = urlli... | Win (1 of 3) | 88% | — |
| 6. | 2017-04-22 15:12:13 | 40.50 | (defop hello2 req (w/link (pr "there") (pr "here"))) (defop ... | Win (1 of 3) | 93% | — |
| 5. | 2017-04-22 15:10:36 | 46.32 | print "Using URL", url req = urllib2.Request(url) fd = urlli... | Win (1 of 3) | 93% | — |
| 4. | 2016-09-22 14:41:16 | 35.69 | class URLLister(SGMLParser): def reset(self): SGMLParser.res... | Win (1 of 3) | 92% | — |
| 3. | 2016-09-22 14:39:47 | 40.54 | print "Using URL", url req = urllib2.Request(url) fd = urlli... | Win (1 of 3) | 92% | — |
| 2. | 2016-07-23 16:55:16 | 33.54 | import os import sys def run(program, *args): pid = os.fork(... | Win (1 of 3) | 89% | — |
| 1. | 2016-07-23 16:53:49 | 27.62 | int res; unsigned long flags; u32 data = 0; if (PCI_##size##... | No win (3 of 3) | 87% | — |
| Universe | Races | Best Race | Text Bests | Texts | Last Race |
|---|---|---|---|---|---|
| Default (English) | 1,819 | 95.39 | 65.40 | 1,017 | February 15, 2025 |
| Nitro type | 8 | 71.35 | 71.35 | 1 | August 7, 2016 |
| Coder Edition | 7 | 46.32 | 36.73 | 5 | May 16, 2017 |
| SAT Vocabulary | 5 | 57.30 | 52.04 | 5 | August 7, 2016 |
| Easy Texts | 4 | 65.34 | 60.75 | 4 | July 24, 2016 |
| Long Texts | 4 | 64.96 | 62.00 | 3 | September 24, 2016 |
| Instant Death Mode | 3 | 78.68 | 57.86 | 3 | October 17, 2020 |