1 is a square
1 Like
0 is a square, too 
Actually I just figure that “last square” is not the correct english translation of my native French “le dernier carré”, which I discover translates correctly in “the last stand”.
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17 days later:
- 4 games left, 7 players involved, 3 groups
- 1 completed games (the one already pointed out by jlt)
- 1 player completed all their games
- 6 players resigned
15 moves over 4 games
1 paused game
Max number of moves in a single game (since last update): 8.
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Player @rileylark kindly game me a dump of all the moves for 9442 games in this tournament.
I didn’t check that kind of detail until the last 40 games.
That’s an impressive amount of information and I’m happily diving into it. 
Here is a first glance: the last move for each game. One dot for each game.
X axis is time
Y axix is move number
On the far right you can see the most recent moves. On the top you can see games which had more moves.
Here is the full tree of moves, one line for each game. Axes are the same (time and move number).
We had games with few moves at a very slow rate:
Games that were slow at a steady pace:
Games that were really quick:
Games that had a quick progression near the end:
Games that started quicly and then slowed down:
And any other situation inbetween
I don’t have yet an answer for rileylark’s questions though:
It’ll be interesting to see which fast players have dropped out, which slow players drop out, and which slow players become fast players
Maybe more interesting to see percentages of those shifts rather than individual players, I mean
I guess even within the first round we probably had some number of people determined to go as slow as possible who then got bored and just played go
I’d be interested to see a distribution of attention spans on that
Some of the charts above show a bunch of individual cases.
I’ll think about some more general thought.
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Oh WOW, that’s amazing … I’d love to be able to visit some page, enter my user name and see where my games are in the above charts!
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Good work, I love it!
Some unqualified* thoughts:
I wonder if you could also get data (or maybe it’s already in there) about in which ways the games ended. That way you could at least see how many games ended in time out, and maybe also put that in relation to the “playing speed” as shown above.
Also, you might calculate a “playing speed” of games (average moves per days or so) and then check that number for all games of the same player, because that might differ a lot, depending on if the opponent is rather a fast or a slow player. That way you could determine “fast players” and “slow players”.
Would that be more or less complicated than “extracting” the separate playing speeds for both players in a game and then work with that? 
*from someone who doesn’t analyze data themselves, but just enjoys seeing the results
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Game over on Apr 7, Black resigned
3 games left :
osalan vs Naci Erdem
Sanchai vs HongAnhKhoa
soerface vs Amenofus
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19 days later:
- 3 games left, 6 players involved, 3 groups
- 1 completed game
- 1 player completed all their games
- 3 players resigned
14 moves over 4 games
No paused games
Max number of moves in a single game (since last update): 7.
Now we have just one game for each player.
Our last player with 3 games completed two of them in the last weeks.
Here you are, user #52!
You’ve been quite slow, but not the slowest.
Here are my games for comparison:
I was rather quick! 
Here are outcomes for the 9442 games in the sample:
And here are them shapes:
Moderator decision
Resignation
Timeout
Score
I actually calculated the average speed of moves through the entire game for each player, considering only the time spent by each player (which is the “delay” between their moves and the previous moves made by the opponent)
The slowest speed was 39.5 days per move, but it was a pretty meaningless average, since that player did timeout on his first move.
I discarded timeout games from the analysis and found some similar cases with resignations at first move.
The first reasonable value was 15.0 days per move in a game with 94 moves.
That player can definitely be considered the slowest one, since he is still playing his last game and he was the one with tree games still going a few weeks ago. So he was steadily slow through many years.
On the opposite, this was the quickest game in the sample:
A little more than one hour. With its 296 moves, it was rather quick even for a live game!
It would need some more work to assess the variance for each player, but as an example I can cite the above mentioned player #52 as having his fastest pace being the half of his slowest: 12 days per move in his slowest game, 6.09 in his quickest one (excluding games ended by timeout).
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I don’t know if it’s mentioned in the stats, but it would be fun to know if stronger players take more time to think or if us cheap seats have more abandonments etc.
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Nice!
Just from looking at the diagrams, it looks like timeout is often preceded by a phase in which the game is being played more slowly than before - while for games that go into scoring, the opposite is the case and there’s often a phase in the end during which the game is played more quickly.
Yes! I like that idea.
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Actually it was easier than I expected. Here is the player with the highest variance:
@Gia : it’s difficult to check anything against player strenght because that changed a lot in the years and also we had a change in rating calculation, which messed up my stats on that.
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Just calculating by groups? As in, the higher groups displayed a specific behaviour or lower groups did?
Because factoring in changes in actual rank for players sounds too much indeed!
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Also, I don’t necessarily want my graph, but I’d like to know my badge number
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That’s very easy!
Here is your chart.
It seems that we don’t have all of your games. There’s just six of them.
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Oh I thought you used different numbers in your stats.
I can’t open that humongous tournament page on my mobile, I think I had six games though…
You had nine games in the first round:
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Glashaboy82 vs Gia)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (cvieiram vs Gia)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Laup vs Gia)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (AdCausa vs Gia)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Gia vs ymyoon88)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Gia vs amtqaps)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (MK963 vs Gia)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Gia vs JeffW1961)
- Tournament Game: Through the Years: Long Correspondence (59567) R:1 (Gia vs Jeteste)
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Games that timed out at move 1 or 2 are not visible on the graph.
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For a second there I was afraid I was the one who timed out and didn’t remember!!
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Huh, that’s a good point. I think that when round two eventually starts, we may see some people expressing surprise that they have not gotten any round two games, having forgotten (or not realized) that they were disqualified or resigned from the tournament.
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