Tag Archives: database

Removing variations from games using Fritz 13 chess software

We’ve looked at various types of chess engine analysis using Fritz13, including multiple-engine chess analysis in last week’s post, all of which are features in which the chess engine can add replayable variations to a database game. You can also add your own variations to games manually using Fritz13.

But once in a while you may want to remove some variations. For example, you’re annotating a game and have finished and saved a variation, when you suddenly realize that the variation doesn’t work. Or you’ve had three or four chessplaying engines analyze a game and you’d like to remove a few superfluous variations from the gamescore. Continue reading

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The “Compare” chess analysis function in Fritz 13

We’ve already discussed the “Full analysis” and “Blundercheck” analysis functions in the Fritz family of playing programs (Fritz 13, Junior 12, Hiarcs 13, Shredder 12, and Rybka 4). But there’s a third method of analyzing games which we’ve not yet considered. I recently saw a comment in which a user appeared concerned that Fritz only pointed out a user’s errors, and didn’t provide an “attaboy!” for good moves in the analysis modes which we’ve previously explored. My response to that concern is that the “attaboys” are implicit rather than explicit; if Fritz isn’t criticizing a move, then it’s safe to assume that the move was sufficient (at least relatively, given the “Threshold” parameter that’s used in the game’s analysis).

But there is a way to get Fritz’s opinion on every move in a game, as well as to have multiple engines analyze a game in one go. It’s called “Compare analysis”, and it’s the topic of today’s uscfsales.com blog post. Continue reading

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How to get Fritz13 to explain all the moves in a chess position

A typical chess position can contain a couple of dozen (or more!) legal moves, and a beginning player often can become overwhelmed by the possibilities, neither knowing nor understanding the point of a particular candidate move. Likewise, every chess player (regardless of their level of experience) should look at a move his or her opponent has made and always immediately ask, “Now why did he play that?”

It’s not always easy to understand the point of a particular move, whether one is a beginner or a grizzled veteran – heck, I’ve been playing for many years and I still often find myself wondering why a particular move was played. The Fritz family of playing programs (Fritz, Hiarcs, Junior, Shredder, and Rybka), chess playing software which is available from uscfsales.com, contains a feature which can help point you in the right direction when you’re trying to figure out the reason behind a particular move, a feature called (not surprisingly) “Explain all moves”. Continue reading

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How to use the chess Mega Database with ChessBase and Fritz

The new Mega Database 2012 for ChessBase 11 and the Fritz family of playing programs (Fritz, Hiarcs, Junior, Shredder, and Rybka) is here! The ChessBase company updates their master database annually to include new games played over the previous year, as well as to add historical games which have recently been unearthed. The latest version of the database contains 5,154,657 games (an increase of 357,739 games over the 2011 version), as well as 700 tournament crosstables and reports, and an updated Player Encyclopedia for use in ChessBase 11. Among Mega Database 2012’s treasures are more than 78,000 games annotated by titled players.

Over the years, I’ve sometimes heard players say, “Why do I need millions of games? I’ll never play through all of them anyway!” Gee, I don’t know – why do you need a local library? You’re never going to read all of those books. Comments like these illustrate vividly that the point has been missed. A database of five million games (or any chess database of any size, for that matter) is just like a library – you’ll never use everything that’s in it, but what you will use is there for you whenever you want it. Let me show you what I mean with a simple chess example… Continue reading

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Fritz13’s “Let’s Check” – Submitting a position for analysis

Every player has run into knotty chess positions from time to time. I recall a variation from the Encyclopedia of Chess Openings that used to baffle me; the evaluation said that White had a “won” game, but I just couldn’t find it. I remember sitting in a local pub with the position set up on an analysis set, just staring at the board for so long that the barmaid thought I’d passed out or fallen asleep with my chin on my chest; a couple of my chessplaying friends soon showed up and we had a lively debate about the merits of the position.

One of the benefits of today’s chessplaying computer software, like Fritz13 from USCFSales.com, is that you can use the chess engine to analyze any position anytime you choose. And the plethora of available engines allows you to get multiple “opinions” and evaluations. But analysis by multiple engines takes time, though, which is why the Fritz13 “Let’s Check” distributed computing features are so revolutionary – many, many players are ausing a variety of chess engines to analyze positions and are then storing those analyses on a central server, accessible by other Fritz13 users in mere seconds. Continue reading

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“Creeping” chess analysis in Fritz/Rybka

In the previous blog post we examined a basic use for the “Infinite analysis” feature in the Fritz “family” of chess playing programs (Fritz, Rybka, Hiarcs, Shredder, and Junior). This time around we’re going to learn another way to use this feature, a method which is a bit more time-intensive but which yields interesting results. Continue reading

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Infinite chess analysis mode in Fritz/Rybka

I’ve had a couple of interesting conversations lately with users of the Fritz “family” of playing programs (Fritz, Rybka, Hiarcs, Junior, and Shredder) who weren’t quite sure what “Infinite analysis” does, or, in one case, what it can do for them. “Infinite analysis” has a lot of uses, all based on the idea that you feed a position to the chess engine and let it chew on the position to find the best sequence of play. It’s not terribly different from the way we human analyze when we’re playing a face-to-face game: we try to figure out the best move, followed by our opponents’ best reply, followed by what we’d do next, etc. – it’s the old “If I do this, he’ll do this, then I’ll do this…” thing. The difference is that a chess engine will look much farther ahead (“deeper”) than any human could do, as well as pick better moves than we average players would normally choose. Continue reading

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