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"}},{"attributes":{"align":"center"},"insert":"\n"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"IMPROVE YOUR CHESS CALCULATION"},{"insert":" by Ramesh RB, New in Chess, 332 pp., publ. 2022.\n\nI recently reviewed "},{"attributes":{"italic":true},"insert":"The Checkmate Patterns Manual"},{"insert":", in which Raf Mesotten, an average club player, covered all the standard mating patterns for less experienced players. While it’s quite feasible for an 1800 player to explain basic mates to beginners, I wouldn’t expect him to brief a 2700 pro on developments in the Najdorf or Botvinnik, nor would he be my first choice as guide down the rabbit hole of calculation. That is the reserve of the experts, such as the author of the current volume.\n\nAs ‘"},{"attributes":{"italic":true},"insert":"one of the world’s most successful coaches"},{"insert":"’, and the guiding hand behind many of the new generation of Indian superkids – "},{"attributes":{"italic":true},"insert":"‘He has trained many of India’s top talents...on their journey to become International Masters and Grandmasters’"},{"insert":" –the author should need no introduction. The back cover blurb tells us \n\n"},{"attributes":{"italic":true},"insert":"‘Ramesh understands what mistakes players can make while calculating...And he serves you the exercises to correct these misconceptions and start finding the right solutions. Every chess player will benefit from the hundreds of exercises in this book. Coach Ramesh will take your calculation skills from a club player’s level to grandmaster level.’"},{"insert":"\n\nEven allowing for the sales hyperbole of the last sentence, that should give you an idea of what to expect.\n\nThe material is divided into five categories:\n\n"},{"attributes":{"bold":true},"insert":"Level 1 = Elo rating 1200-1600"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Level 2 = 1600-2000"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Level 3 = 2000-2400"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Level 4 = 2400-2600"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Level 5 = 2600 & above"},{"insert":"\n\nPitching a book at readers in a 1200-2600+ rating range is an ambitious undertaking. Wherever a player is in the grand scheme of things, he/she’s going to find stuff that is either too difficult or too easy, but equally there should be something for everyone. If you’re at the lower end of those rating figures and wilting at the thought of what’s in store, there are plenty of level 1 and 2 positions to cut your teeth on. And harken unto the author, talking about players being inspired by computers:"},{"attributes":{"italic":true},"insert":" ‘I have personally trained players with ratings in the range of 1400-1800 to analyse variations that players of previous generations with a rating range of 2200-2400 were unable to do.’"},{"insert":"\n\nHe divides his work into seven largely self-explanatory chapters:\n\n"},{"attributes":{"bold":true},"insert":"1.Dynamic and static positions"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"2.Calculation training with students"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"3.The analytical process"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"4.Forcing moves"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"5.Common mistakes chess players make while calculating variations"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"6.Improving calculation through solving studies"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"7.Chess improvement suggestions from a coach"},{"insert":"\n\nThis covers a vast area, so the author provides a how-to introduction outlining how readers of all strengths can best handle the material, e.g.:\n\nHave a good look at every position and try to understand what is going on behind the scenes. Compare the king positions, piece placements, pawn structure, material parity, etc., before beginning your analysis."},{"attributes":{"list":"bullet"},"insert":"\n"},{"insert":"·Before we start analysing any move, we should make a list of reasonable looking moves and only then begin analysing them."},{"attributes":{"list":"bullet"},"insert":"\n"},{"insert":"\nSound advice, although the second point is redolent of Kotov’s take on candidate moves in "},{"attributes":{"italic":true},"insert":"Think Like a Grandmaster"},{"insert":", a classic of its time which nowadays doesn’t perhaps carry the clout it did fifty years ago. \n\nThe material consists of 178 games/positions for analysis, each with a number of tasks set against suggested time limits, usually around 5-10 minutes, sometimes more, sometimes less. The answers and analysis are detailed and deep, often necessitating the dreaded B3143232-type labelling of variations. Ramesh: "},{"attributes":{"italic":true},"insert":"‘In many places, some could get the feeling that there is an overdose of variations, (but) I have seen in my experience as a coach that it is possible to analyse deep variations even for lower-rated players. When they learn to see more variations in less time with fewer mistakes, their playing strength increases phenomenally in a short time.’"},{"insert":" Reassuringly – or necessarily! – there are plenty of words amongst the welter of analysis to light the way.\n\nBy way of example, chapter three, "},{"attributes":{"italic":true},"insert":"The analytical process"},{"insert":", forms the core of the book, taking up over a third of the entire work. Ramesh begins with a consideration of what is required to play good-quality chess, then offers one of the many insightful observations dotted throughout the book: "},{"attributes":{"italic":true},"insert":"‘Instead of preparing only to achieve our target, like titles, rating, etc., we should also prepare to improve our analytical skills...It is important for a player to compartmentalise his priorities in life, so one interest does not impact another adversely.’"},{"insert":" Janet or John Average might struggle with that last sentence as they juggle the manifold demands of their family and professional existences, but they should still be able to find five minutes for a level 1 example. \n\nThe chapter includes examples for each of the rating categories, from 5-minute level 1 and 2 positions getting half a page or so, up to level 5, e.g. the first game in the chapter, one of the author’s own, is a deeply analysed example covering twelve pages, sixteen tasks and twenty diagrams (which, he suggests, should be used as stepping stones in trying to visualise the course of play). The tasks alone could require a total of 96 minutes; the analysis could take several more hours to digest and appreciate fully. It’s the sort of thing that can only be done justice with serious time investment. \n\nOr consider game 57, Smyslov-Rubinetti, Palma Interzonal 1970, weighing in at sixteen pages and twenty-seven tasks requiring up to 155 minutes. In discussing this one, Ramesh again encourages the reader to do it in his or her head. "},{"attributes":{"italic":true},"insert":"‘Whenever you feel you are losing track of the position in your head, try to start over from the beginning and slowly go to the current position in your head. Usually the position becomes clearer when you do this...I have worked with many grandmasters in this manner (and also with many 2200+ players) who can complete the whole game and all its analysis in their head with some help from the coach, but, more importantly, without the help of a chessboard! Give it a sincere try and reap the benefits!’"},{"insert":"\n\nClearly his advice, based on this specific example, is aimed at stronger players, but that is no reason for the average reader to shrug and not try, certainly not with the level 1 and 2 examples. After all, we play chess in our heads without moving the pieces, so rather than think it’s beyond you, try it and see how you get on – which is basically what Ramesh says in the bold passage here:\n\n"},{"attributes":{"italic":true},"insert":"‘...I have seen that analysing very complicated positions without the help of moving pieces on the board is not only possible, but even essential for quicker and long-lasting improvement... (players) must put in a genuine effort to try to analyse the positions without giving in to self-defeating doubts...even 1800-level players can follow all the analysis like this with some effort and without a chessboard. It is simply a question of patience and perseverance.’"},{"insert":"\n\nA little progress is still progress. \n\nThe hefty analytical material is interspersed with lots of good, solid advice, such as this, aimed at juniors: ‘"},{"attributes":{"italic":true},"insert":"When a player is young, he should primarily focus on improving his practical skills as a player, accumulate knowledge, make mistakes and learn from them.’"},{"insert":" Or this, for materialists who fret during a game: "},{"attributes":{"italic":true},"insert":"‘It is essential not to keep counting the pawns over and over again, reinforcing in our mind that we are playing a position with a pawn down. This will simply make us feel insecure and desperate to somehow win the pawn back.’"},{"insert":" This touches upon another important aspect of the thinking process, namely mindset, which is in fact something of a leitmotif throughout the book. When Ramesh writes, "},{"attributes":{"italic":true},"insert":"‘Improvement is possible when we believe in ourselves’"},{"insert":", he is echoing the sentiments of every teacher on the planet.\n\nChapter seven – Chess improvement suggestions from a coach – is full of wise words covering a whole range of topics, e.g. confidence, rating fluctuations, time management, pressure etc. etc. Reading it alone would give some players a shove in the right direction, as would a consideration of the many psychological insights the author provides.\n\nRamesh handles the often complex nature of his material in a direct yet encouraging, inspirational, style. You sense that he cares, not always an easy thing to convey in print, indeed one of the things which comes across in his writing is a sense of humility, from which springs the desire to motivate and inspire his readers. There is none of the superciliousness which some writers seem unable to stop creeping into their work. \n\nBy its nature, "},{"attributes":{"italic":true},"insert":"Improve Your Chess Calculation"},{"insert":" couldn’t have been an easy text to produce, so kudos to NiC for the overall production. Two things, though, catch the eye. \n\n1.The higgledy-piggledy arrangement of the exercises. In chapter one, for example, we find the exercises in section 3 (Tactics) arranged 1, 2, 3 and section 4 (Forcing moves) 1, 1, 1, 2. So far, so good, but section 6 (the initiative) is 4, 1, 2 and the monster chapter three begins 5, 1, 2, 5, 1. It’s not altogether clear why a linear progression of difficulty couldn’t have been applied.\n\n2.The layout of the diagrams, examples and text. Diagrams are followed by the task involved, the time allocated, then, immediately, the answer. Given the double-column format, a couple of pieces of paper are going to be essential in order to avoid spoilers (as the author acknowledges in his how-to introduction). In a ‘bendy’ book which doesn’t readily lie flat near the beginning or end, this could get unwieldy. (I had to use another book to keep it open.) There’s no easy way round it. \n\nTo summarise, this is a big book in every sense, containing much profound and thought-provoking material. It’s clearly aimed at stronger players, but, given the range of exercises, ordinary players should still be able to derive some benefit from it. It’s a challenging text, not one to be rushed through. The examples at the higher end are generally complex and the analysis daunting, but for players in the upper rating range, say >2400, it could be pure gold and, as I mentioned above, the general advice dispensed throughout the text would be of benefit to "},{"attributes":{"italic":true},"insert":"anyone"},{"insert":". If you decide to add it to your library, a Stakhanovite work ethic would be a definite advantage, but if you invest the necessary time and effort in it, the benefits should follow. In other words, if you’re seriously interested in improving, this could be just the ticket.\n\nCouple of final thoughts:\n\nThe title page says that this is volume one of The Ramesh Chess Course. It sets a high standard for the ensuing volumes."},{"attributes":{"list":"bullet"},"insert":"\n"},{"insert":"My 1900 puts me slap-dab in the middle of the author’s rating categories. It would be interesting to see what a 1200 and a 2600 think of the book."},{"attributes":{"list":"bullet"},"insert":"\n"},{"insert":"\n"},{"attributes":{"italic":true,"bold":true},"insert":"Ian Marks"},{"insert":"\n"},{"attributes":{"italic":true,"bold":true},"insert":"May 2023"},{"insert":"\n"}]}

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