Matlab is a registered trademark of The Mathworks, Inc.


 Advanced Source Code . Com

 
 
HOME SOURCE CODE SOFTWARE INFO SUPPORT CONTACT US
 
Source code for fingerprint recognition, face recognition and much more


Software Info    About us     
Go To Matlab Official Website

.: Click here to download :.

Tennis has become one of the most heavily traded sports online and particularly attractive for in-play traders. Horse racing and football have traditionally been popular among sports gamblers, however in recent years tennis has seen an enormous increase in bet volume, particularly on exchanges. The final match of Wimbledon 2008 was a perfect illustration of just how popular trading on tennis has become. During that one match between Roger Federer and Rafael Nadal, a total of £50 million worth of bets were matched on Betfair alone. More recently in the French Open 2011 final, over £40 million was matched, a figure routinely reached in Grand Slam finals and other high profile matches. From a trading point of view, tennis is a unique sport. The sequence of points are played within fixed intervals, usually no more than half a minute with rallies lasting roughly 10 seconds. As points are gained and lost regularly, in-play traders offer odds that vary with equal frequency. As we have mentioned, the greater the amplitude and frequency of odds changes, the more opportunity there is to profit. Another attraction lies in the availability of matches. Professional tennis is played in eleven months of a year with four major grand slam events; Wimbledon, the French, US and Australian Open as well as a series of prestigious tournaments including those of the Association of Tennis Professional (ATP) tour. This combination of profiting opportunity and availability of matches are the main contributing factors for the growing popularity of tennis trading.

A common assumption used in modeling a game of tennis is that each point is independent and identically distributed. That is, the chance of a player winning a point is not in any way dependent on the outcome of the point beforehand and the probability of a player winning a point on his serve can be assumed constant throughout the duration of a match. Based on this assumption we have developed a fast and reliable algorithm for calculating the winning probabilities of the two players for a tennis match of any type. User can specify the number of sets of the match (i.e. 3 setter or 5 setter) and the winning probability of each player's service. The other inputs are the current status: game scores, set scores, and overall match scores. Our command line functions, developed entirely in Matlab language, can be simply integrated in a tennis trading system for Betfair platform.

All results have been compared against a simple Monte Carlo-based tennis match simulator: we have simulated tennis matches under desired parameters and recorded the number of times each player wins over a total number of runs. The proportion of a player's wins compared to total simulation runs gives an estimation of their match-winning probability under those parameters. There is a perfect agreement between our approach and this tennis match simulator, moreover our algorithm results extremely fast and suitable for real-time applications, necessary for in-play trading on internet betting exchanges.

Index Terms: Matlab, source, code, tennis, match, winning, probability, calculator, BetFair, trading, system, betting, exchange.

 

 

 

 

Figure 1. Tennis



A simple and effective source code for Tennis Match-Winning Probability Calculator.

Release
Date
Major features
1.0

2012.09.14



We recommend to check the secure connection to PayPal, in order to avoid any fraud.
This donation has to be considered an encouragement to improve the code itself.

Tennis Match-Winning Probability Calculator. Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 200 EUROS (less than 280 U.S. Dollars).

Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of Tennis Match-Winning Probability Calculator.

Alternatively, you can bestow using our banking coordinates:
Name :
Luigi Rosa
Address :
Via Pozzo Strada 5 10139 Torino Italy
Bank name:
Poste Italiane
Bank address:
Viale Europa 190 00144 Roma Italy
IBAN (International Bank Account Number) :
IT-50-V-07601-03600-000058177916
BIC (Bank Identifier Code) :
BPPIITRRXXX

The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab is required. The code provided has to be considered "as is" and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.

New - AI Trader
 Stock Price Trend Forecasting An emerging trading market is represented by binary options. Binary options are a convenient way of investments as they donít require a trader to forecast actual quotes.
 
New - Speaker Verification System
 Text-Independent Speaker Authentication There are two major applications of speaker recognition technologies and methodologies. If the speaker claims to be of a certain identity and the voice is used to verify this claim, this is called verification or authentication.
 
New - Java Face Recognition
 Java-based Biometric Authentication System Face recognition is essential in many applications, including mugshot matching, surveillance, access control and personal identification, and forensic and law enforcement applications.
 
New - Software References
 Papers and lectures A list of papers that included Advanced Source Code .Com in the references section. If you have written a paper where our software is cited in the references list please email us and your work will be published at our web site.
 
New - White Papers
 High Capacity Wavelet Watermarking Using CDMA Multilevel Codes This paper proposes a technique based on CDMA and multilevel coding in order to achieve a high capacity watermarking scheme. The bits of watermark are grouped together and for each sequence a different modulation coefficient is used.
 
New - WebCam Face Identification
 Face Recognition Based on Fractional Gaussian Derivatives Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.
 
New - Speaker Recognition System
 Source code for speaker recognition
Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
 
New - Speech Recognition System
 Source code for isolated words recognition
Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy.
 



The MathWorks, Inc. Google NeuralNetworks.It Octave Scilab The R Project for Statistical Computing Python Other available resources English Dictionary Download .Com
 
Software Info    About us