We analyzed a total of {{res['sample_size']}} games, of player {{res['name_in_games']}}, from January 2016.
# | Black | White | Date | Setup | Result | ||
1 | Zen19 [5d] | Sansei | 2016-01-02 | 19×19 Komi 6.50 | B+Time | ||
2 | Zen19 [5d] | rsun | 2016-01-02 | 19×19 Komi 6.50 | B+Resign | ||
3 | Zen19 [5d] | hwi | 2016-01-02 | 19×19 Komi 6.50 | Unfinished | ||
4 | Zen19 [5d] | wasd [5d] | 2016-01-02 | 19×19 Komi 6.50 | B+18.50 | ||
5 | revi [3d] | Zen19 [5d] | 2016-01-02 | 19×19 Komi 0.50 | W+Time | ||
6 | rsun | Zen19 [5d] | 2016-01-02 | 19×19 Komi 6.50 | W+Resign | ||
7 | AyaMC5 [4d] | Zen19 [5d] | 2016-01-02 | 19×19 Komi 7.50 | W+Resign | ||
8 | TOSHI1011 [5d] | Zen19 [5d] | 2016-01-02 | 19×19 Komi 6.50 | B+0.50 | ||
9 | rsun | Zen19 [5d] | 2016-01-02 | 19×19 Komi 6.50 | W+29.50 | ||
10 | Zen19 [5d] | enokid3 | 2016-01-03 | 19×19 Komi 6.50 | B+Time | ||
11 | jongseok | Zen19 [5d] | 2016-01-03 | 19×19 Komi 6.50 | W+Resign | ||
12 | enokid3 | Zen19 [5d] | 2016-01-03 | 19×19 Komi 6.50 | W+Time | ||
13 | enokid3 | Zen19 [5d] | 2016-01-03 | 19×19 Komi 6.50 | W+Time | ||
14 | Zen19 [5d] | straycat [6d] | 2016-01-07 | 19×19 Komi 0.50 | B+Resign | ||
15 | darkfmcts3 [5d] | Zen19 [5d] | 2016-01-07 | 19×19 Komi 7.50 | B+Resign | ||
16 | Zen19 [5d] | DoctorNo [5d] | 2016-01-09 | 19×19 Komi 6.50 | B+Resign | ||
17 | Zen19 [5d] | rsun | 2016-01-09 | 19×19 Komi 6.50 | W+3.50 | ||
18 | DoctorNo [4d] | Zen19 [5d] | 2016-01-09 | 19×19 Komi 0.50 | W+Resign | ||
19 | DoctorNo [4d] | Zen19 [5d] | 2016-01-09 | 19×19 Komi 0.50 | W+Resign | ||
20 | Zen19 [5d] | tudy | 2016-01-10 | 19×19 Komi 6.50 | B+Resign | ||
21 | Zen19 [5d] | quanga | 2016-01-10 | 19×19 Komi 6.50 | B+Resign | ||
22 | Zen19 [5d] | Phosphates | 2016-01-10 | 19×19 Komi 6.50 | B+Resign | ||
23 | Zen19 [5d] | quanga | 2016-01-10 | 19×19 Komi 6.50 | B+Resign | ||
24 | DoctorNo [4d] | Zen19 [5d] | 2016-01-10 | 19×19 Komi 0.50 | W+9.50 | ||
25 | DoctorNo [4d] | Zen19 [5d] | 2016-01-10 | 19×19 Komi 0.50 | W+19.50 | ||
26 | DoctorNo [4d] | Zen19 [5d] | 2016-01-10 | 19×19 Komi 0.50 | B+Resign | ||
27 | Zen19 [5d] | quanga | 2016-01-11 | 19×19 Komi 6.50 | B+Resign | ||
28 | Zen19 [5d] | rsun | 2016-01-11 | 19×19 Komi 6.50 | W+Resign | ||
29 | darkfmcts3 [5d] | Zen19 [5d] | 2016-01-11 | 19×19 Komi 7.50 | W+44.50 | ||
30 | TOSHI1011 [5d] | Zen19 [5d] | 2016-01-11 | 19×19 Komi 6.50 | W+Resign | ||
31 | kurumi35 | Zen19 [5d] | 2016-01-11 | 19×19 Komi 6.50 | W+Resign | ||
32 | rsun | Zen19 [5d] | 2016-01-11 | 19×19 Komi 6.50 | W+3.50 | ||
33 | yy11 [4d] | Zen19 [5d] | 2016-01-11 | 19×19 Komi 0.50 | W+Time | ||
34 | BOThater36 [4d] | Zen19 [5d] | 2016-01-11 | 19×19 Komi 0.50 | W+Resign |
The bold player is the victor in particular games, the player we analyzed is marked by an arrow (and is always the same).
Based on the patterns and other information extracted from the moves played, we estimated your strength and playing style. If you want to learn more about the methodology, please see the research section of the homepage. Below, we give you the results:
The KGS equivalent of strength of the player: {{res['str']['val']}} ± {{res['str']['sigma']}}
The following image shows the strength (red line)
with 68% confidence interval (blue line). The
confidence is accurate only when the sample is large enough.
{{questionare.long_names[key]}} | {{questionare.left[key]}} | {{questionare.right[key]}} |
Based on this style evaluation, we recommend to review games of the following professional players. We list both proffesional players who have similar style as you and whose style is very different. The first group might serve to improve your style, the second to give inspiration what other styles of play are possible.
Professionals who have similar style as you:
Professionals whose style is farthest from yours:
This section lists study materials we believe are relevant for your improvement. The list is constructed by computing a suitability measure, which takes into account your strength and style. The measure is expressed as estimated percentual match. Brought to you in cooperation with GoGameGuru.
Generally speaking, we recommend Advanced books. More detailed tips follow.
We find the following series of books to be suitable:
Apart from the series, we recommend the following single books:
You should concrentrate on the concept of sente and gote. Do you ask after every enemy move, Do I need to respond to this? and If so, Do I have a possibility to respond on some unexpected place so that the threat is neutralized, but the opponent in turn has to respond? | |
Huh, we think that you like the empty triangle. Please, remember, that this shape is usually terrible and try not to play it.. Wouldn't a jump be a better idea? |
The following table shows some typical patterns that stronger players play more than you (on average). The scales on the right show the relative frequency of the moves: "The move is played every Xth game.". The strong players are on the left, weak on the right, your frequency estimated from the sample is the red bar.
You can get some inspiration here! ;-) Do not take this too seriously, though...
Is greatly welcome. Do you think that your strength is different or your playing style is estimated wrongly?
You can help us to improve this application, by submitting correct information about you!!