Chess

2 readers
1 users here now

Welcome to our community for chess players and fans! Whether you're an expert at the game or a beginner just starting out, this is the perfect place for you to share your love of chess with like-minded individuals. Here, we're all about discussing everything related to chess. From the history of the game to the latest tournaments and news, there's always something exciting to discover. Are you looking for tips and strategies to improve your game? Our growing community is always happy to share their advice and insights. Or, maybe you just want to share a funny meme or discuss your favorite opening move. Whatever it is, we want to hear it. At our Magazine, we encourage a friendly and supportive community where everyone is welcome to join in the discussion. There's no need to be a chess genius – whether you're just starting out or have been playing for years, we value all perspectives. So come on in, pull up a seat, and let's talk chess!

founded 2 years ago
26
 
 

Format

This tournament is a double round-robin between 6 teams of six players each, and the two best teams qualify to final phase. Each team is composed by one "icon" on board 1, two male players on boards 2 and 3, two female players on boards 4 and 5, and one junior on board 6.

Scoring

Each game is scored according to:

  • Win with black: 4 Game Points (GPs)
  • Win with white: 3 GPs
  • Draw: 1 GP
  • Loss: 0 GPs

The match is scored according to:

  • Team that scores most GPs: 3 Match Points (MPs)
  • Team that scores the same as rivals: 1 MPs
  • Team that scores fewer: 0 MPs

After the double round-robin ends, the two teams with most MPs qualify to the final. The final is a best of two match, with a blitz game as tiebreaker.

Time Controls

Rapid 15+10. Players cannot agree to a draw before 30 moves each.

Teams

Triveni Continental Kings (Avg Elo: 2613)

https://globalchessleague.com/wp-content/uploads/2023/06/TCK-3.jpg https://globalchessleague.com/wp-content/uploads/2023/06/triveni-continental-1.jpg

  1. GM Levon Aronian (USA, 2743)
  2. GM Yangyi Yu (China, 2734)
  3. GM Yi Wei (China, 2716)
  4. GM Kateryna Lagno (Russia, 2494)
  5. GM Nana Dzagnidze (Georgia, 2543)
  6. GM Jonas Buhl Bjerre (Denmark, 2535)

Format

This tournament is a double round-robin between 6 teams of six players each, and the two best teams qualify to final phase. Each team is composed by one "icon" on board 1, two male players on boards 2 and 3, two female players on boards 4 and 5, and one junior on board 6.

Scoring

Each game is scored according to:

  • Win with black: 4 Game Points (GPs)
  • Win with white: 3 GPs
  • Draw: 1 GP
  • Loss: 0 GPs

The match is scored according to:

  • Team that scores most GPs: 3 Match Points (MPs)
  • Team that scores the same as rivals: 1 MPs
  • Team that scores fewer: 0 MPs

After the double round-robin ends, the two teams with most MPs qualify to the final. The final is a best of two match, with a blitz game as tiebreaker.

Time Controls

Rapid 15+10. Players cannot agree to a draw before 30 moves each.

Teams

Triveni Continental Kings (Avg Elo: 2613)

https://globalchessleague.com/wp-content/uploads/2023/06/TCK-3.jpg https://globalchessleague.com/wp-content/uploads/2023/06/triveni-continental-1.jpg

  1. GM Levon Aronian (USA, 2743)
  2. GM Yangyi Yu (China, 2734)
  3. GM Yi Wei (China, 2716)
  4. GM Kateryna Lagno (Russia, 2494)
  5. GM Nana Dzagnidze (Georgia, 2543)
  6. GM Jonas Buhl Bjerre (Denmark, 2535)

UpGrad Mumba Masters (Avg Elo: 2611)

https://globalchessleague.com/wp-content/uploads/2023/06/MM-1-1.jpg https://globalchessleague.com/wp-content/uploads/2023/06/mumba-master-1.jpg

  1. GM Maxime Vachier-Lagrave (France, 2767)
  2. GM Alexander Grischuk (Russia, 2716)
  3. GM Santosh Gujrathi Vidit (India, 2665)
  4. GM Humpy Koneru (India, 2469)
  5. GM Dronavalli Harika (India, 2450)
  6. GM Javokhir Sindarov (Uzbekistan, 2596)

Today's Schedule

Final Match 1

2nd July 2023, 13:15 UTC

Final Match 2

2nd July 2023, 14:20 UTC

Tiebreaks (if needed)

2nd July 2023, 15:40 UTC

Standings

Team MPs GPs W L D
Triveni Continental Kings 18 79 6 4 0
UpGrad Mumba Masters 16 83 5 4 1
Ganges Grandmasters 15 85 5 5 0
SG Alpine Warriors 15 78 5 5 0
Chingari Gulf Titans 13 80 4 5 1
Balan Alaskan Knights 12 83 4 6 0

Media

27
 
 

title

28
 
 

This is an analysis I did some time ago comparing FIDE ratings to lichess ratings. The biggest part of the work was finding a reliable way to get both ratings for the same set of players. A lot of players on lichess post their FIDE ratings, but unfortunately, some players will post joke ratings, or just outright lie.

In order to avoid "liar's bias" in the self-reported FIDE ratings, I used two different methods to independently look up FIDE ratings directly from FIDE. In the first method, I took advantage of the fact that many lichess users post their FIDE ID numbers to their lichess profiles, enabling direct lookup of their ratings. In the second method, I used lichess profile data to create a "key" consisting of name, title, and country. In cases where the key is unique, and is present in both the lichess and FIDE data sets, I can then look up the FIDE rating for that user. Finally, to ensure I have the correct player, I only keep the data point if the player's self-reported FIDE rating matches the one I looked up.

Out of 628,200 lichess profiles, I was able to harvest 5957 FIDE ratings. This is plenty of data for looking at the overall correlation between the two ratings.

It turns out, there is a large spread present in the ratings data. In other words, if you know someone's rating in one system, your estimate of their rating in the other system will be very imprecise. To give people a better feel for how (un)reliable the estimates are, each graph here shows scatter plots of FIDE standard ratings versus the various ratings for different lichess time controls. The red line in each plot is a robust linear regression of the data, while the blue lines show quantile regressions for the 97.5, 50 and 2.5 percentiles. In other words, 95% of players fall between the two dotted blue lines. For example, about 95% of players with a lichess blitz rating of 2500 will have a FIDE standard rating between about 2000 to 2500, so if you have a blitz rating of 2500, you could roughly estimate your FIDE as 2250 +- 250. Note that even though this is about the tightest correlation shown, the precision isn't great. Apparently people just vary a lot. Maybe it has something to do with skill playing online not being quite the same as playing in person.

One rather unexpected thing that stands out in the data, is that the correlation is worst at the fastest and slowest time controls. Since most lichess time controls average less than 25 minutes per game, compared to FIDE's typical 90 minutes for the first 40 moves, I was surprised to see that blitz has the tightest correlation.

Here are the linear regression coefficients, since I'm sure someone will ask for them (x indicates the slope):

[1] "ultraBullet"
Coefficients:
(Intercept)            x  
   1265.331        0.473

[1] "bullet"
Coefficients:
(Intercept)            x  
   722.0768       0.6261

[1] "blitz"
Coefficients:
(Intercept)            x  
    41.4256       0.9074

[1] "rapid"
Coefficients:
(Intercept)            x  
   309.9946       0.7962

[1] "classical"
Coefficients:
(Intercept)            x  
  1161.4994       0.4038

29
 
 

Thirty-six grandmasters — with a notable number of world champions among them — will compete in a mixed-gender team environment. Six teams will feature in the first season of the GCL.