Answers.Body: <p>Web app called <a href="https://rating-correlations.streamlit.app/" rel="nofollow noreferrer">rating correlations</a> is now published in <a href="https://streamlit.io/" rel="nofollow noreferrer">streamlit cloud</a>. It is slow so just be patient, will try to optimize it later.</p>
  <p>It can also estimate crazyhouse aside from chess960. Rating data are all from Lichesss.</p>
  <p>You can input by double-clicking the number and type your bullet rating for example, the -/+ button is not necessary.</p>
  <p>App is updated for performance and source code can be found in <a href="https://github.com/fsmosca/Rating-Correlations" rel="nofollow noreferrer">github</a>.</p>
  <p>Update 1: Can estimate rating based from chess.com users.</p>
  <p><a href="https://i.sstatic.net/i3x73.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/i3x73.png" alt="enter image description here" /></a></p>
  <p>url: <code>https://ratingcorrelations.herokuapp.com</code></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-01-23T06:29:31.277Z
Answers.Text: Look forward to the publication. Thanks. So far this red line does confirm some of my suspicions
Answers.UserDisplayName: BCLC
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-01-23T06:35:44.760Z
Answers.Text: ferdy, can you say anything similar to  'A rating of 1600 in LiChess.org: Blitz would equal 1759 in LiChess.org: Rapid, with an average variation of plus/minus of 101 points' in https://www.chessratingcomparison.com/graphs ?
Answers.UserDisplayName: BCLC
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-01-23T07:17:57.463Z
Answers.Text: I got 1739 for that 1600.
Answers.UserDisplayName: ferdy
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-01-23T15:23:01.273Z
Answers.Text: right thanks. i mean in general, does your web app have this kind of thing similar to what chessratingcomparison.com has ( 'A rating of 1600 in LiChess.org: Blitz would equal 1759 in LiChess.org: Rapid, with an average variation of plus/minus of 101 points')? but of course your web app in progress is really incredible already
Answers.UserDisplayName: BCLC
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-01-23T16:09:37.783Z
Answers.Text: From current UI, change feature to Blitz, then change target to Rapid, input 1600 in the conversion container then estimated Rapid rating will be generated. I have not implemented yet the margin of error. Currently using xgboost as regressor. But I am also looking on statsmodels. I will compare its performance and speed especially when doing multiple regression like bullet + blitz + rapid to predict chess960 for example.
Answers.UserDisplayName: ferdy
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Answers.CreationDate: 2022-01-23T17:27:31.287Z
Answers.Text: i mean in current UI blitz to 9LX instead of blitz to rapid, to which i guess it's yes. thanks! p.s. re multiple regression WOW. niiiiiiice.
Answers.UserDisplayName: BCLC
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Answers.LastActivityDate: 2023-01-31T04:53:57.550Z
Answers.LastEditDate: 2023-01-31T04:53:57.550Z
Answers.UserDisplayName: ferdy
Body: <p>Is there any relation or any attempt at discovering a relation between Chess960 ratings and standard chess ratings? This can be for GMs, for (any)M's, for pro players, or for all players on lichess/chess.com (for whatever lichess/chess.com statistics are available), but preferably for as many categories/divisions/what you call it as possible.</p>
  <p>I'm looking for something similar to this reddit post: <a href="https://www.reddit.com/r/chessclub/comments/oyjwb1/i_made_a_website_to_compare_chess_ratings_between/" rel="nofollow noreferrer">I made a website to compare chess ratings between Chess.com, LiChess, FIDE, &amp; USCF</a>. This way 1 might see eg 9LX ratings on lichess are about 100 points less than standard blitz ratings on lichess or 200 points less than standard rapid ratings on lichess.</p>
  <hr />
  <p><strong>Something I thought: I guess there's weekly <a href="https://lichess.org/stat/rating/distribution/chess960" rel="nofollow noreferrer">rating distributions</a></strong>.</p>
  <p>For example in the 'week' (whatever this means) of 2021-11-12 13:50:07Z (the time now) 49% is 1575 in 9LX, 50% is 1525 in blitz and 49% is 1525 in rapid. Assuming everyone on lichess plays 9LX, blitz and rapid about the same, I guess this suggests 9LX ratings are about 50 points higher than regular ratings, <a href="https://chess.stackexchange.com/questions/37314/is-there-an-underratedness-problem-in-online-chess960">which of course is not the case</a>.</p>
  <p>I guess what would be helpful is seeing the blitz and rapid percentiles conditioned on non-provisional 9LX ratings. Of course there's the lack of time control separation in 9LX ratings. Perhaps we might do some weighted average like if 90% 9LX games are blitz and 10% are rapid then.......idk.</p>
  <ul>
  <li><strong>Or if we just assume all the 9LX games are blitz 9LX games, then what if anything do the weekly rating distributions tell us</strong>: <a href="https://lichess.org/stat/rating/distribution/blitz" rel="nofollow noreferrer">standard blitz</a> and then <a href="https://lichess.org/stat/rating/distribution/chess960" rel="nofollow noreferrer">9LX (which we might pretend is 9LX blitz)</a>? For example, here are the rating distributions for this week:</li>
  </ul>
  <p>standard:</p>
  <p><a href="https://i.sstatic.net/UQs46.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/UQs46.png" alt="enter image description here" /></a></p>
  <p>9LX:</p>
  <p><a href="https://i.sstatic.net/Nvuif.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Nvuif.png" alt="enter image description here" /></a></p>
  <hr />
  <p>Related:</p>
  <p><a href="https://chess.stackexchange.com/questions/37314/is-there-an-underratedness-problem-in-online-chess960">What are some solutions to a possible/perceived underratedness problem in online chess960?</a></p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-20T16:29:36.693Z
Comments.Text: @BCLC  A good question. Personally I've often felt curious how strong this relationship is top GMs, and in particular who the strongest 960 players (now or ever) have been.
Comments.UserDisplayName: Mobeus Zoom
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-20T16:32:39.330Z
Comments.Text: It does seem to be clear that being good at standard chess is highly linked to being good at Chess960; even online tournaments which began open to everyone, or say, Titled players, have generally ended up seeing the familiar faces qualify (https://en.wikipedia.org/wiki/FIDE_World_Fischer_Random_Chess_Championship_2019) and the most familiar faces win (Wesley So and Magnus Carlsen).
Comments.UserDisplayName: Mobeus Zoom
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-18T15:30:01.287Z
Comments.Text: @MobeusZoom updated question. maybe rating distributions?
Comments.UserDisplayName: BCLC
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-18T21:35:15.353Z
Comments.Text: If you want the relation between Chess960 and standard chess ratings, overall rating distributions will be useless. You need to compare the standard chess and Chess960 ratings of each player (individually) and plot them on a chart, make a model to predict one from the other, etc. My breath is most likely wasted no doubt - as often, your questions are straightforward to answer but not without the grunt work (querying Lichess or Chess.com ratings for a large number of users), which 50 points of SE reputation is unlikely to even begin to approach paying for, and which you're unlikely to put in.
Comments.UserDisplayName: Mobeus Zoom
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-18T22:07:07.140Z
Comments.Text: "which of course is not the case" I'll add we didn't say this. It is possible that the median Chess960 rating is lower or higher than the median standard rating on Lichess (cf e.g. https://chess.stackexchange.com/questions/37352/what-sets-the-absolute-value-of-players-elo-rating). This does not mean anyone is "underrated".
Comments.UserDisplayName: Mobeus Zoom
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-01-23T06:37:02.910Z
Comments.Text: @MobeusZoom Thanks. You're right re underrated. Been doing some more inquiries and thinking re rating systems. Kinda led to different questions now. P.S. there's an answer now
Comments.UserDisplayName: BCLC
Tags: <rating><chess-variants><statistics><mathematics><chess960>
Title: Relation between ratings for Chess960 and standard chess
ThreadText: # Relation between ratings for Chess960 and standard chess
  
  (Asked by: username_0 on 2021-01-19)
  
  Is there any relation or any attempt at discovering a relation between Chess960 ratings and standard chess ratings? This can be for GMs, for (any)M's, for pro players, or for all players on lichess/chess.com (for whatever lichess/chess.com statistics are available), but preferably for as many categories/divisions/what you call it as possible.
  
  I'm looking for something similar to this reddit post: [I made a website to compare chess ratings between Chess.com, LiChess, FIDE, & USCF](https://www.reddit.com/r/chessclub/comments/oyjwb1/i_made_a_website_to_compare_chess_ratings_between/). This way 1 might see eg 9LX ratings on lichess are about 100 points less than standard blitz ratings on lichess or 200 points less than standard rapid ratings on lichess.
  
  ---
  
  **Something I thought: I guess there's weekly [rating distributions](https://lichess.org/stat/rating/distribution/chess960)**.
  
  For example in the 'week' (whatever this means) of 2021-11-12 13:50:07Z (the time now) 49% is 1575 in 9LX, 50% is 1525 in blitz and 49% is 1525 in rapid. Assuming everyone on lichess plays 9LX, blitz and rapid about the same, I guess this suggests 9LX ratings are about 50 points higher than regular ratings, [which of course is not the case](https://chess.stackexchange.com/questions/37314/is-there-an-underratedness-problem-in-online-chess960).
  
  I guess what would be helpful is seeing the blitz and rapid percentiles conditioned on non-provisional 9LX ratings. Of course there's the lack of time control separation in 9LX ratings. Perhaps we might do some weighted average like if 90% 9LX games are blitz and 10% are rapid then.......idk.
  
  * **Or if we just assume all the 9LX games are blitz 9LX games, then what if anything do the weekly rating distributions tell us**: [standard blitz](https://lichess.org/stat/rating/distribution/blitz) and then [9LX (which we might pretend is 9LX blitz)](https://lichess.org/stat/rating/distribution/chess960)? For example, here are the rating distributions for this week:
  
  standard:
  
  [![enter image description here](https://i.sstatic.net/UQs46.png)](https://i.sstatic.net/UQs46.png)
  
  9LX:
  
  [![enter image description here](https://i.sstatic.net/Nvuif.png)](https://i.sstatic.net/Nvuif.png)
  
  ---
  
  Related:
  
  [What are some solutions to a possible/perceived underratedness problem in online chess960?](https://chess.stackexchange.com/questions/37314/is-there-an-underratedness-problem-in-online-chess960)
  
  **Tags:** rating, chess-variants, statistics, mathematics, chess960
  
  > **Comments:**
  > **username_1**: @username_0  A good question. Personally I've often felt curious how strong this relationship is top GMs, and in particular who the strongest 960 players (now or ever) have been.  
  > **username_1**: It does seem to be clear that being good at standard chess is highly linked to being good at Chess960; even online tournaments which began open to everyone, or say, Titled players, have generally ended up seeing the familiar faces qualify (https://en.wikipedia.org/wiki/FIDE_World_Fischer_Random_Chess_Championship_2019) and the most familiar faces win (Wesley So and Magnus Carlsen).  
  > **username_0**: @MobeusZoom updated question. maybe rating distributions?  
  > **username_1**: If you want the relation between Chess960 and standard chess ratings, overall rating distributions will be useless. You need to compare the standard chess and Chess960 ratings of each player (individually) and plot them on a chart, make a model to predict one from the other, etc. My breath is most likely wasted no doubt - as often, your questions are straightforward to answer but not without the grunt work (querying Lichess or Chess.com ratings for a large number of users), which 50 points of SE reputation is unlikely to even begin to approach paying for, and which you're unlikely to put in.  
  > **username_1**: "which of course is not the case" I'll add we didn't say this. It is possible that the median Chess960 rating is lower or higher than the median standard rating on Lichess (cf e.g. https://chess.stackexchange.com/questions/37352/what-sets-the-absolute-value-of-players-elo-rating). This does not mean anyone is "underrated".  
  > **username_0**: @MobeusZoom Thanks. You're right re underrated. Been doing some more inquiries and thinking re rating systems. Kinda led to different questions now. P.S. there's an answer now  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2022-01-23. Score: 5 | Accepted answer
  
  Web app called [rating correlations](https://rating-correlations.streamlit.app/) is now published in [streamlit cloud](https://streamlit.io/). It is slow so just be patient, will try to optimize it later.
  
  It can also estimate crazyhouse aside from chess960. Rating data are all from Lichesss.
  
  You can input by double-clicking the number and type your bullet rating for example, the -/+ button is not necessary.
  
  App is updated for performance and source code can be found in [github](https://github.com/fsmosca/Rating-Correlations).
  
  Update 1: Can estimate rating based from chess.com users.
  
  [![enter image description here](https://i.sstatic.net/i3x73.png)](https://i.sstatic.net/i3x73.png)
  
  url: `https://ratingcorrelations.herokuapp.com`
  
  > **Comments:**
  > **username_0**: Look forward to the publication. Thanks. So far this red line does confirm some of my suspicions  
  > **username_0**: username_2, can you say anything similar to  'A rating of 1600 in LiChess.org: Blitz would equal 1759 in LiChess.org: Rapid, with an average variation of plus/minus of 101 points' in https://www.chessratingcomparison.com/graphs ?  
  > **username_2**: I got 1739 for that 1600.  
  > **username_0**: right thanks. i mean in general, does your web app have this kind of thing similar to what chessratingcomparison.com has ( 'A rating of 1600 in LiChess.org: Blitz would equal 1759 in LiChess.org: Rapid, with an average variation of plus/minus of 101 points')? but of course your web app in progress is really incredible already  
  > **username_2**: From current UI, change feature to Blitz, then change target to Rapid, input 1600 in the conversion container then estimated Rapid rating will be generated. I have not implemented yet the margin of error. Currently using xgboost as regressor. But I am also looking on statsmodels. I will compare its performance and speed especially when doing multiple regression like bullet + blitz + rapid to predict chess960 for example.  
  > **username_0**: i mean in current UI blitz to 9LX instead of blitz to rapid, to which i guess it's yes. thanks! p.s. re multiple regression WOW. niiiiiiice.  
  
  ---
  
  