Mega Database 2016

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Fritz 15 - English Version

New Fritz, new friend

€69.90

ChessBase Magazine 173

Enjoy the best moments of recent top tournaments (Shamkir, Paris and Leuven) with analysis of top players. In addition you'll get lots of training material. For example 13 new suggestions for your opening repertoire.

€19.95

Queen's Gambit Declined Powerbook 2016

For the Queen's Gambit Declined Powerbook we once again used above all high grade material: 90 000 games from Mega and from correspondence chess, but these are of high quality. Added to that are 410 000 games from the engine room on playchess.com.

€9.90

Complete Nimzo-Indian Powerbook 2016

We have included the whole E00-E59 complex in our “Complete Nimzo-Indian Powerbook 2016”. It is based, e.g., on 45 000 games from the Mega database and 4000 correspondence games. The lion’s share is made up of the 245 000 games from the engine room.

€9.90

The Semi-Slav

The Semi-Slav (1.d4 d5 2.c4 c6 3.Nf3 Nf6 4.Nc3 e6) can arise via various moveorders, has decided World Championships, and is one of Black’s most fascinating replies to 1 d4. Nielsen explains in detail what this openign is all about.

€29.90

The Black Lion - an aggressive version of the Philidor Defense

The Lion gets ready to roar after 1.e4 d6 2.d4 Nf6 3.Nc3 e5 4.Nf3 Nbd7 5.Bc4 Be7 6.0–0 c6 – and now Black wants to attack with an early ...g5.

€29.90

Power Play 23: A Repertoire for black with the Queen's Gambit Declined

On this DVD Grandmaster Daniel King offers you a repertoire for Black with the QGD. The repertoire is demonstrated in 10 stem games, covering all White’s major systems: 5 Bg5, 5 Bf4, and the Exchange Variation.

€29.90

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Can you out-predict Elo? – Competition update

9/21/2010 – Can we devise a more accurate method for measuring chess strength and predicting results than Elo, which has done good service for half a century? Jeff Sonas has given statisticians 65,000 games which they must use to predict the results 7,800 other games. The idea is to find out who can out-perform Elo. In the lead is 28-year-old Portugese biochemist Filipe Maia. Current status.
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Kaggle is a platform that allows companies, researchers, governments and other organizations to post their problems and have statisticians worldwide compete to predict the future (produce the best forecasts) or predict the past (find the best insights hiding in data). Statisticians on Kaggle are rated and ranked based on past performance so the competition host will know who are the smartest people in the room. Statistician Jeff Sonas and Kaggle teamed up to present a new competition in this grand tradition: it is “Elo versus the Rest of the World”, pitting hundreds of statisticians against Arpad Elo’s greatest legacy: the Elo rating system. We reported on this.

Progress Update: Elo versus the Rest of the World

By Jeff Sonas

We have just passed the halfway mark of the "Elo vs. the Rest of the World" contest, scheduled to end on November 14th. The contest is based upon the premise that a primary purpose of any chess rating system is to accurately assess the current strength of players, and we can measure the accuracy of a rating system by seeing how well the ratings do at predicting players' results in upcoming events. The winner of the contest will be the one whose rating system does the best job at predicting the results of a set of 7,800 games played recently among players rated 2200+.

So far we have had an unprecedented level of participation, with 162 different teams submitting entries to the contest! There is also a very active discussion forum to promote the free flow of ideas, although many teams are still hesitant to share too many details about their approach (especially considering that the winner will receive a copy of Fritz signed by Garry Kasparov, Viswanathan Anand, Anatoly Karpov, and Viktor Korchnoi) Both Chessbase and Kaggle have donated generous prizes, to be awarded to top-performing participants who are willing to share their methodology publicly.


First prize is a copy of Fritz signed by all-time greats Garry Kasparov,
Viswanathan Anand, Anatoly Karpov, and Vladimir Kramnik!

The Kaggle website provides access to a training dataset of 65,000 recent chess games, that can be used to train their rating system, as well as a test dataset (a list of 7,800 recent chess games whose outcomes must be predicted and submitted). The website (which knows the results of those 7,800 games) automatically scores each submission and maintains a public leaderboard of each participant's best-performing entry. A more complete score for each entry is kept secret so that participants cannot "decode" the leaderboard, and this secret list determines the final winners, to be announced at the end of the contest.

A wide range of approaches has been used, including almost every known chess rating system as well as other tries involving neural networks, machine learning, data mining, business intelligence tools, and artificial intelligence. In fact over 1,600 different tries have been submitted so far, and we anticipate far more submissions as the competition heats up over the final seven weeks.


Filipe Maia, a PhD student at Janos Hajdu Molecular
Biophysics group at Uppsala University

The #1 spot is currently held by Portuguese physicist Filipe Maia, who confesses to little knowledge about statistics or chess ratings, but is nevertheless managing to lead the competition! He is also the author of El Turco, the first-ever Portuguese chess engine. Out of the current top ten teams on the leaderboard, seven use variants of the Chessmetrics rating system, two are modified Elo systems, and one is a "home-grown variant of ensemble recursive binary partitioning". That last approach belongs to the #3 team on the public leaderboard, a team known as "Old Dogs With New Tricks". This team is a collaborative effort between Dave Slate and Peter Frey, both prominent leaders in computer chess for many years.

Although the "Old Dogs With New Tricks" team clearly has a lot of chess expertise, and the #2 spot is held by Israeli mathematician and chess player Uri Blass (FIDE rating 2051), the top ten or twenty teams are primarily comprised of mathematicians, data miners, and other scientists having minimal direct experience with chess or chess ratings. This suggests that experts on chess rating theory might still have a lot to learn from experts in other fields, which of course is one of the desired outcomes of this contest! We have attracted interest from around the globe, with the top twenty comprised of participants from Portugal, Israel, USA, Germany, Australia, UK, Singapore, Denmark, and Ecuador.

As the organizer of the contest, I have "benchmarked" several prominent rating systems, starting with Chessmetrics, Elo, PCA, and Glicko/Glicko-2. Other systems (including TrueSkill) will also be benchmarked in the near future. A "benchmark" consists of implementing those systems, optimizing any parameters for predictive power, submitting predictions based on their ratings, and publicly describing the details of the methodology in the discussion forum. These benchmark entries help other competitors to gauge the success of their own entries and to get some ideas of what other people have tried in the past. If you are interested in learning more about any of the benchmarked systems, you can find detailed descriptions in the discussion forum on the contest website.

Currently, out of 162 teams, the benchmarks hold the following rankings:

Chessmetrics Benchmark:   #10
Glicko-2 Benchmark: #38
Glicko Benchmark: #39
PCA Benchmark: #66
Elo Benchmark: #82

Thus it is becoming increasingly clear that there are many alternative approaches that seem more accurate than the Elo system, being more effective at measuring players' current strength and predicting players' results in upcoming events. However, predictive power and accuracy are not the only yardsticks to use in assessing a rating system; it is clear that inertia, familiarity, and simplicity are powerful advantages of the Elo system…

The first half of the contest has been a great success and we look forward to a very competitive and productive second half! Please come visit the contest website and join the fun!

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