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The JBet Manager System Operations

JBet is the complete betting process Artificial Intelligence Information Database System designed to make profits on Sports Betting without any human judgement intervention at all.

At present JBet is only used privately at JWare for profit generation, analysing millions of match patterns, 24 hours a day, 7 days a week, so its electronic memory is ready with a decision for every conceivable bet situation. A feat impossible to attain at this level with just the Human Mind.

Later this year, JBet will be available to Members. Individuals then, even with a minimal knowledge of a sport, will take money back from one of the parasites of the internet, the Betting Agencies.

Without JBet, individuals not having BOTH a strict 'Bet Analysis Process' in conjunction with a 'Wager Control System', will find it impossible to make money, and keep making money. A fact Betting Agencies and those ludicrously absurd scam 'get rich quick' internet adverts rely and thrive on.

JBet will take over the SELECTION and SIZE of all Bets, apply its Mathematics, Research, and Artificial Intelligence, deciding emotionless and wisely, the correct wager for the situation, always with an eye on your long term growing profit.

All Membership Fees directly go to a Dog Rescue charity. Dogs without doubt being the most Faithful and True species to ever walk the Earth. Humans are not even close.

Core of the JBet Money Engine

MICROSOFT ACCESS is controlled by JBet at this point.

Each sport deemed by JBet to be viable has all its latest Betting Events and associated Statistics ported into the Relational Database Tables. The information is then filtered and digitalized into a DNA type structure which enables rapid large volume pattern analysis.

Regardless of the sporting event and statistic structure, all information is accurately represented digitally within the Relational Database Tables.

MICROSOFT SQL SERVER, under JBet control, then picks and chooses from the digitalized Sports Data based on preconceived pattern theories.

The choosing decisions are made by the Artificial Intelligence side of JBet as it ‘learns’ from the huge volumes of combinational digitalized sporting data. It may suspect a regular situation, follow it up, and then validate or disprove its deduced hypothesis? Millions of occurrences scanned for recognisable patterns that represent clues to a ‘future’ event!

Validated findings are kept and constantly reviewed and so an ‘electronic learning library’ is formed. Constantly evolving with every Betting Event upload. This learning library is the basis for making betting decisions. Impossible for a human being to replicate anywhere remotely near this clarity level.

JBet can then make a decision on every future event… Psychology 101…

‘Past Behaviour Dictates Future Behaviour’

BET SITUATIONS

Knowing and Acting

Part of JBet's success is because it knows what the current profit is, remembers a huge pattern memory for upcoming events, and only then then acts accordingly.

The JBet way IS the only way to continue growing your profits steadily and consistently. To prove everything, start with two betting balances of any comfortable test amount, use JBet side by side against your current system for a year, then compare the profits.

Later this year, JBet will be available to Members.

WIN Management

A win to JBet triggers multiple actions. The profit has risen, and proportionally so too can the wager size. The profit margin has risen, and proportionally so too can the event odds allowance increase for maximum financial growth. And most importantly that event is analysed with pattern analysis against the millions of other events to verify all known decision hypotheses are still correct.

JBet always makes strict logical decisions (emotion / betting is a guaranteed failure combination), never breaks rules (no gambling and never panics with desperate recoup strategies), and knows millions of situation patterns ‘specifically’ about the upcoming event.

Loss Management

A loss to JBet triggers multiple actions. All betting from this point is rescaled to just concentrate on getting the money back, like a system within a system. Allowed betting events are scaled to 'safer options' ensuring steady recovery, and when recovered, everything scales back to before it even happened.

The many internet sites that offer ‘free tips’, ‘fixed betting’, etc., are all scams! Free tips are doomed to fail because you still have to decide the wager amount which can destroy your savings in one hit when it doesn’t come through. And eventually it won't! Fixed betting is behind closed doors within a closed group. As if that would be published on the internet!

Betting Rounds

It’s all good and well to have software that picks a winner regularly, but it counts for nothing if the wager size is not managed as well.

This aspect when ignored (as it is on every site we have found on the web) will lead to financial loss as well because excluding fixed matches, of which you are not privy to, even an occasional loss will drain your profit! The betting agencies have factored in the seemingly successful gambler ‘many wins to few losses’ client ratio, on their slanted odds scale, to still make them lose! Covering it up with those absurd advertisements they have psychologically feigning friendship!?

JBet runs perfectly as we speak, steadily making profit day by day, rising not on a slow linear scale, but slightly exponentially. We could make JBet available to everyone now but for one thing…

JBet currently handles only one client, us at JWare. To support hundreds or thousands of clients the only options are to make thousands of simultaneous instances of JBet (not practical), or let people come on board mid-cycle (not feasible as every individual will have differing current profit so bet selection and wager control will not work). The solution, and reason JBet is not there for you now, is ‘ROUNDS’!

The 'Rounds' software update to JBet is currently our highest priority, and when completed, our Members will be able to fully use the JBet Betting Manager as well. Then new members will join ONLY at the commencement of each new round. A round being when your initial Round dollars have doubled in profit. Our test history average show that occurs approximately every month. JBet will be a 'Peoples Place' so all REAL statistics on profit success will be available at this site, along with every be selection ever made so anyone can verify the numbers. Membership will start from the first day of the Round so you don’t pay for ‘nothing time’.

Bet Notification and Specification

The instant a viable Bet has surfaced from the upcoming events, an email will be sent to you clearly specifying the Sport, Event, Match, and Wager ‘units’. At that point you contact your Betting Agency, highly recommended via an on-line service, and place the Bet.

You will never get a JBet email within one hour of match commencement as the situation of not making a bet on time we want to avoid. If that occurs, it just means you have to wait until the next Betting Round.

Because JBet will have international clients, using units for currency specification will make it not an issue. New Members when making their first ever JBet Bet, will decide on a safe starting dollar figure that will represent one unit. For example, if you started using JBet with $24 US, and JBet said to bet 0.44 units on a Match, you wager would be $10.56 US.

You must permanently stay with this units figure if you want JBet to correctly manage your betting otherwise JBet could give you potentially incorrect Betting Information!

If you are happy with your current profit and want to alter this figure, you just wait until the next round. Then if you read your profit analysis from JBet, you must note the round number you restarted and then the figures will be correct.

Master JBet Information Source

From the day JBet was created, the vital first step was for it to determine from every sport the most viable prediction surety events, and the ATP Men’s Tennis Tour was the winner. Because this information can help Members to win now, even before the release of JBet itself, we have made the information available as it has no influence on the confidentiality of our JBet software code.

All the tennis results are stored in the ultimate information system format, the ‘Relational Database’, ready for you to link into your own analysis system. Spreadsheet analysis, or even more prone to failure, human judgement, cannot compete with the power SQL processed answers provide. This information is fed to our SQL SERVER daily for comprehensive processing. And now, this detailed Mens Tennis data is available for you too! In Microsoft Access format.

The database tables are normalized professionally with zero information duplication and redundancy, and ready for your own research to make your bet selections go to a new level of success. JBet inserts every match and associated statistics all together in one place. Existing Men’s Tennis Result information available on the internet is so poor and simplified that professional analysis is impossible. These database tables change all that, taking your betting decision making to a new level… but when JBet Manager control is available, your betting success will then go to ultimate heights and profit...

Download ATP MENS TENNIS Microsoft Access Relational Database Detailed Match and Statistics Results

Controlled Betting

Once you are a Member, and you have just received a JBet email specifying the Sport, Event, Match, and Wager ‘units’, and placed that exact same bet via your Betting Agency, that is it! Nothing else to do but enjoy watching the Match win.

As discussed on the ‘Client Communication’ page, you must permanently stay with the units figure you selected on your first ever bet with JBet or when you decided you wanted to restart from a new round just as if you were a new Client Member again?

Do not waver from the stipulations here under any circumstance if you want JBet to correctly control the process and ensure steady profit growth. Emotion, Adrenalin, and Spontaneity LOSES MONEY in the Betting Industry! If you still want that side of things in your life, keep it separate from any JBet interaction! Circumstances such as per below MUST be avoided to prevent financial loss;

“Things are going well, JBet has turned $200 into $488, and I am so confident with JBet selecting my bets I am going to speed up the process! The next email JBet sends, I will double the units! I will only do it once.”

NEVER EVER DO THAT!

JBet alters its bet selections depending on circumstance (your current winnings and percentage of Round completion, bet loss recovery, player inconsistency versus gain, etc.). Any deviation from this control could affect your finances. If you want casual betting, that is fine but DO NOT use JBet as your match information source! Use your old systems and what you know for that.

JBet Information Correspondence

Macleod, Melbourne, Victoria, AUSTRALIA

 

Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

Australia
ATP World Tour 250 Outdoor
Hard
$439,405
($494,310) SGL 28
DBL 16 Singles: Roger Federer
Doubles: John Peers, Jamie Murray
05.01.2015 Aircel Chennai Open
India
ATP World Tour 250 Outdoor
Hard
$403,495
($458,400) SGL 28
DBL 16 Singles: Stan Wawrinka
Doubles: Jonathan Marray, Yen Hsun Lu
05.01.2015 Qatar ExxonMobil Open
Qatar
ATP World Tour 250 Outdoor
Hard
$1,129,815
($1,221,320) SGL 32
DBL 16 Singles: David Ferrer
Doubles: Rafael Nadal, Juan Monaco
11.01.2015 Apia International Sydney
Australia
ATP World Tour 250 Outdoor
Hard
$439,405
($494,310) SGL 28
DBL 16 Singles: Viktor Troicki
Doubles: Daniel Nestor, Rohan Bopanna
12.01.2015 Heineken Open
New Zealand
ATP World Tour 250 Outdoor
Hard
$464,490
($519,395) SGL 28
DBL 16 Singles: Jiri Vesely
Doubles: Leander Paes, Raven Klaasen
02.02.2015 Open Sud de France
France
ATP World Tour 250 Indoor
Hard
€439,405
(€494,310) SGL 28
DBL 16 Singles: Richard Gasquet
Doubles: Artem Sitak, Marcus Daniell
02.02.2015 Ecuador Open Quito
Ecuador
ATP World Tour 250 Indoor
Clay
$439,405
($494,310) SGL 28
DBL 16 Singles: Victor Estrella Burgos
Doubles: Alexander Satschko, Gero Kretschmer
02.02.2015 PBZ Zagreb Indoors
Croatia
ATP World Tour 250 Indoor
Hard
€439,405
(€494,310) SGL 28
DBL 16 Singles: Guillermo Garcia Lopez
Doubles: Henri Kontinen, Marin Draganja
09.02.2015 Memphis Open
TN, U.S.A.
ATP World Tour 250 Indoor
Hard
$585,870
($659,070) SGL 28
DBL 16 Singles: Kei Nishikori
Doubles: Santiago Gonzalez, Mariusz Fyrstenberg
09.02.2015 ABN AMRO World Tennis Tournament
Netherlands
ATP World Tour 500 Indoor
Hard
€1,478,850
(€1,600,855) SGL 32
DBL 16 Singles: Stan Wawrinka
Doubles: Horia Tecau, Jean Julien Rojer
09.02.2015 Brasil Open 2015
Brazil
ATP World Tour 250 Indoor
Clay
$444,650
($505,655) SGL 28
DBL 16 Singles: Pablo Cuevas
Doubles: Robert Farah, Juan Sebastian Cabal
16.02.2015 Delray Beach Open by The Venetian® Las Vegas
FL, U.S.A.
ATP World Tour 250 Outdoor
Hard
$488,225
($549,230) SGL 32
DBL 16 Singles: Ivo Karlovic
Doubles: Mike Bryan, Bob Bryan
16.02.2015 Open 13
France
ATP World Tour 250 Indoor
Hard
€565,735
(€632,840) SGL 28
DBL 16 Singles: Gilles Simon
Doubles: Henri Kontinen, Marin Draganja
16.02.2015 Rio Open presented by Claro
Brazil
ATP World Tour 500 Outdoor
Clay
$1,414,550
($1,548,755) SGL 32
DBL 16 Singles: David Ferrer
Doubles: Philipp Oswald, Martin Klizan
23.02.2015 Abierto Mexicano Telcel
Mexico
ATP World Tour 500 Outdoor
Hard
$1,414,550
($1,548,755) SGL 32
DBL 16 Singles: David Ferrer
Doubles: Marcelo Melo, Ivan Dodig
23.02.2015 Argentina Open presentado por Buenos Aires Ciudad
Argentina
ATP World Tour 250 Outdoor
Clay
$500,550
($573,750) SGL 28
DBL 16 Singles: Rafael Nadal
Doubles: Andre Sa, Jarkko Nieminen
23.02.2015 Dubai Duty Free Tennis Championships
U.A.E.
ATP World Tour 500 Outdoor
Hard
$2,082,605
($2,503,810) SGL 32
DBL 16 Singles: Roger Federer
Doubles: Daniel Nestor, Rohan Bopanna
12.03.2015 BNP Paribas Open
CA, U.S.A.
ATP World Tour Masters 1000 Outdoor
Hard
$5,381,235
($7,107,445) SGL 96
DBL 32 Singles: Novak Djokovic
Doubles: Jack Sock, Vasek Pospisil
25.03.2015 Miami Open presented by Itaú
FL, U.S.A.
ATP World Tour Masters 1000 Outdoor
Hard
$5,381,235
($6,267,755) SGL 96
DBL 32 Singles: Novak Djokovic
Doubles: Mike Bryan, Bob Bryan
06.04.2015 Grand Prix Hassan II
Morocco
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16 Singles: Martin Klizan
Doubles: Adil Shamasdin, Rameez Junaid
06.04.2015 Fayez Sarofim & Co. U.S. Men's Clay Court Championship
TX, U.S.A.
ATP World Tour 250 Outdoor
Clay
$488,225
($549,230) SGL 28
DBL 16 Singles: Jack Sock
Doubles: Teymuraz Gabashvili, Ricardas Berankis
12.04.2015 Monte-Carlo Rolex Masters
Monaco
ATP World Tour Masters 1000 Outdoor
Clay
€3,288,530
(€3,624,045) SGL 56
DBL 24
20.04.2015 Barcelona Open Banc Sabadell
Spain
ATP World Tour 500 Outdoor
Clay
€1,993,230
(€2,265,235) SGL 48
DBL 16
20.04.2015 BRD Nastase Tiriac Trophy
Romania
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
27.04.2015 Millennium Estoril Open
Portugal
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
27.04.2015 Istanbul
Turkey
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
27.04.2015 BMW Open by FWU AG
Germany
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
03.05.2015 Mutua Madrid Open
Spain
ATP World Tour Masters 1000 Outdoor
Clay
€4,185,405
(€5,113,730) SGL 56
DBL 24
10.05.2015 Internazionali BNL d'Italia
Italy
ATP World Tour Masters 1000 Outdoor
Clay
€3,288,530
(€3,830,295) SGL 56
DBL 24
17.05.2015 Geneva
Switzerland
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
17.05.2015 Open de Nice Côte d’Azur
France
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
08.06.2015 Topshelf Open
Netherlands
ATP World Tour 250 Outdoor
Grass
€537,050
(€604,155) SGL 28
DBL 16
08.06.2015 MercedesCup
Germany
ATP World Tour 250 Outdoor
Grass
€574,965
(€642,070) SGL 28
DBL 16
15.06.2015 Gerry Weber Open
Germany
ATP World Tour 500 Outdoor
Grass
€1,574,640
(€1,696,645) SGL 32
DBL 16
15.06.2015 Aegon Championships
Great Britain
ATP World Tour 500 Outdoor
Grass
€1,574,640
(€1,696,645) SGL 32
DBL 16
21.06.2015 Aegon Open Nottingham
Great Britain
ATP World Tour 250 Outdoor
Grass
€589,160
(€644,065) SGL 48
DBL 16
22.06.2015 Nottingham
England
ATP World Tour 250 Outdoor
Grass SGL 32
DBL 16
13.07.2015 Hall of Fame Tennis Championships
RI, U.S.A.
ATP World Tour 250 Outdoor
Grass
$488,225
($549,230) SGL 32
DBL 16
20.07.2015 SkiStar Swedish Open
Sweden
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
20.07.2015 Claro Open Colombia
Colombia
ATP World Tour 250 Outdoor
Hard
$683,515
($768,915) SGL 28
DBL 16
20.07.2015 Vegeta Croatia Open Umag
Croatia
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
27.07.2015 BB&T Atlanta Open
GA, U.S.A.
ATP World Tour 250 Outdoor
Hard
$585,870
($659,070) SGL 28
DBL 16
27.07.2015 Swiss Open Gstaad
Switzerland
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
27.07.2015 bet-at-home Open
Germany
ATP World Tour 500 Outdoor
Clay
€1,285,955
(€1,407,960) SGL 32
DBL 16
03.08.2015 Generali Open
Austria
ATP World Tour 250 Outdoor
Clay
€439,405
(€494,310) SGL 28
DBL 16
03.08.2015 Citi Open
DC, U.S.A.
ATP World Tour 500 Outdoor
Hard
$1,508,815
($1,753,020) SGL 48
DBL 16
10.08.2015 Coupe Rogers
Canada
ATP World Tour Masters 1000 Outdoor
Hard
$3,587,490
($4,178,500) SGL 56
DBL 24
16.08.2015 Western & Southern Open
OH, U.S.A.
ATP World Tour Masters 1000 Outdoor
Hard
$3,826,655
($4,457,065) SGL 56
DBL 24
24.08.2015 Winston-Salem Open
NC, U.S.A.
ATP World Tour 250 Outdoor
Hard
$616,210
($695,515) SGL 48
DBL 16
21.09.2015 Moselle Open
France
ATP World Tour 250 Indoor
Hard
€439,405
(€494,310) SGL 28
DBL 16
21.09.2015 St. Petersburg Open
Russia
ATP World Tour 250 Indoor
Hard
$1,030,000
($1,091,000) SGL 28
DBL 16
28.09.2015 Malaysian Open, Kuala Lumpur
Malaysia
ATP World Tour 250 Indoor
Hard
$937,835
($1,041,540) SGL 28
DBL 16
28.09.2015 Shenzhen Open
China
ATP World Tour 250 Outdoor
Hard
$607,940
($668,945) SGL 28
DBL 16
05.10.2015 China Open
China
ATP World Tour 500 Outdoor
Hard
$2,700,510
($3,944,715) SGL 32
DBL 16
05.10.2015 Rakuten Japan Open Tennis Championships
Japan
ATP World Tour 500 Outdoor
Hard
$1,263,045
($1,397,250) SGL 32
DBL 16
11.10.2015 Shanghai Rolex Masters
China
ATP World Tour Masters 1000 Outdoor
Hard
$4,783,320
($7,021,335) SGL 56
DBL 24
19.10.2015 Kremlin Cup by Bank of Moscow
Russia
ATP World Tour 250 Indoor
Hard
$698,325
($771,525) SGL 28
DBL 16
19.10.2015 If Stockholm Open
Sweden
ATP World Tour 250 Indoor
Hard
€537,050
(€604,155) SGL 28
DBL 16
19.10.2015 Erste Bank Open
Austria
ATP World Tour 250 Indoor
Hard
€537,050
(€604,155) SGL 28
DBL 16
26.10.2015 Swiss Indoors Basel
Switzerland
ATP World Tour 500 Indoor
Hard
€1,575,295
(€2,022,300) SGL 32
DBL 16
26.10.2015 Valencia Open 500
Spain
ATP World Tour 500 Indoor
Hard
€1,745,040
(€2,324,045) SGL 32
DBL 16
02.11.2015 BNP Paribas Masters
France
ATP World Tour Masters 1000 Indoor
Hard
€3,288,530
(€3,830,295) SGL 48
DBL 24
15.11.2015 Barclays ATP World Tour Doubles Finals
Great Britain
ATP World Tour Indoor
Hard
DBL 8
15.11.2015 Barclays ATP World Tour Finals
Great Britain
ATP World Tour Indoor
Hard
$7,000,000
($7,000,000) SGL 8

 

Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

 

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Historical Tennis Results and Betting Odds Data
12 years of results | 11 years of betting odds
Now FREE!!! Access Data via Tournament Links

Tennis-Data continues to provide the tennis punter with computer-ready tennis results and betting odds data for use with spreadsheet applications, to help with the development and analysis of tennis betting systems. What's more since July 2007 this data is now FREE. In doing so Tennis-Data takes the time out of recompiling pages and pages of results data and past betting odds found on a number of tennis results and odds comparison websites.

Results for the men's ATP tour date back to January 2000, including Grand Slams, Masters Series, Masters Cup and International Series competitions. Historical head-to-head betting odds go back to 2001. And from 2007 results and historical betting odds for the women's WTA tour as well! All data files can be accessed via the tournament links in the right hand menu.

Check out an example datasheet and a set of Notes that describe the available data. Links to all tournaments, with descriptions of exactly what data can be found in each data file, are located in the right hand menu.

All files are available in CSV/Excel format for PC Windows operating systems, and are updated weekly at the end of each tournament (2 weeks after Grand Slams). CSV format is the industry standard comma delimited file format allowing compatibility with many computer spreadsheet applications. Commas are used to separate columns of data. They will only be seen if a CSV file is opened in a text editor. Tennis-Data's preferred spreadsheet application is Microsoft Excel, offering a full range of analytical functions to test betting systems developed from match and odds data.

Tennis-Data would like to acknowledge the following sources which are currently utilised in the compilation of Tennis-Data's results and odds files.

Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

Results:
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If you have any questions about either the data or how it can be used for your own betting system, just contact Tennis-Data

Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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What is OnCourt?

OnCourt is a program for all tennis fans. It contains information on the results of more than 825 thousand tennis matches, played by the best players on the planet since 1990. The program includes both men's and women's tennis. With this program you can get a lot of statistical information about any tennis player, about any tennis tournament or histories of the head-to-head matches of any two players.

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At present the program includes results of the following tournaments:
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Results of the qualifying rounds to all ATP World Tour and Challengers tournaments since 2000;
Results of matches in the doubles draw of all ATP World Tour tournaments since 2003;
Results of all matches in the Davis Cup since 1997;
Results of the main draw of ATP Futures and Satellites since 2004;
Results of junior Grand Slam tournaments since 2003.
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The database of women's tennis tournaments includes:
Results of the main draw of WTA Tour tournaments since 1997;
Results of the qualifying rounds to all WTA Tour tournaments since 2000;
Results of the main draw of ITF tournaments with prize-money $25K+ since 2002 and with prize-money $10K since 2005;
Results of matches in the doubles draw of all WTA Tour tournaments since 2003;
Results of all matches in the Fed Cup since 1997;
Results of junior Grand Slam tournaments since 2003.


Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

The main functions of the program
Obtaining statistical data on any tennis player, the history of his games on courts with various surfaces, at the tournaments of various levels, his current position in the ranking list, the win and loss percentage in tie-breakers, finals, semi-finals, three and five-set matches, the players specialization, his ascendant and current biorhythms and lots of other information [Screenshot];
Obtaining information on the results of any tennis tournament either as a table or as a tournament draw [Screenshot];
Obtaining the comparative statistics and histories of the head-to-head matches of two players, including the scores and totals of certain matches and the total set and game scores of all their meetings [Screenshot];
The full statistics for all basic matches (aces, double faults, 1st serve %, total points won, etc) [Screenshot];
Obtaining statistical predictions for forthcoming matches [Screenshot];
Odds movement both for upcoming and past matches in Pinnacle bookmaker [Screenshot];
Point-by-point replay of most matches, like a real-time livescoring, but after match is completed [Screenshot];
The possibility of exporting the data into Microsoft Excel keeping the original colors which allows the data to be saved in a file, converted into some other format or printed out or be e-mailed;
Daily on-line database updates make sure that you are always well informed with the results of the latest matches played and the important data for the analysis of the forthcoming matches.

Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

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Betting Manager for ATP World Tour Mens Tennis Match Results and Match Statistics in Microsoft Access Relational Database Tables

Key to results data
ATP = Tournament number (men)
WTA = Tournament number (women)
Location = Venue of tournament
Tournament = Name of tounament (including sponsor if relevant)
Data = Date of match (note: prior to 2003 the date shown for all matches played in a single tournament is the start date)
Series = Name of ATP tennis series (Grand Slam, Masters, International or International Gold)
Tier = Tier (tournament ranking) of WTA tennis series.
Court = Type of court (outdoors or indoors)
Surface = Type of surface (clay, hard, carpet or grass)
Round = Round of match
Best of = Maximum number of sets playable in match
Winner = Match winner
Loser = Match loser
WRank = ATP Entry ranking of the match winner as of the start of the tournament
LRank = ATP Entry ranking of the match loser as of the start of the tournament
WPts = ATP Entry points of the match winner as of the start of the tournament
LPts = ATP Entry points of the match loser as of the start of the tournament
W1 = Number of games won in 1st set by match winner
L1 = Number of games won in 1st set by match loser
W2 = Number of games won in 2nd set by match winner
L2 = Number of games won in 2nd set by match loser
W3 = Number of games won in 3rd set by match winner
L3 = Number of games won in 3rd set by match loser
W4 = Number of games won in 4th set by match winner
L4 = Number of games won in 4th set by match loser
W5 = Number of games won in 5th set by match winner
L5 = Number of games won in 5th set by match loser
Wsets = Number of sets won by match winner
Lsets = Number of sets won by match loser
Comment = Comment on the match (Completed, won through retirement of loser, or via Walkover)

Key to match betting odds data
B365W = Bet365 odds of match winner
B365L = Bet365 odds of match loser
B&WW = Bet&Win odds of match winner
B&WL = Bet&Win odds of match loser
CBW = Centrebet odds of match winner
CBL = Centrebet odds of match loser
EXW = Expekt odds of match winner
EXL = Expekt odds of match loser
LBW = Ladbrokes odds of match winner
LBL = Ladbrokes odds of match loser
GBW = Gamebookers odds of match winner
GBL = Gamebookers odds of match loser
IWW = Interwetten odds of match winner
IWL = Interwetten odds of match loser
PSW = Pinnacles Sports odds of match winner
PSL = Pinnacles Sports odds of match loser
SBW = Sportingbet odds of match winner
SBL = Sportingbet odds of match loser
SJW = Stan James odds of match winner
SJL = Stan James odds of match loser
UBW = Unibet odds of match winner
UBL = Unibet odds of match loser

MaxW= Maximum odds of match winner (as shown by Oddsportal.com)
MaxL= Maximum odds of match loser (as shown by Oddsportal.com)
AvgW= Average odds of match winner (as shown by Oddsportal.com)
AvgL= Average odds of match loser (as shown by Oddsportal.com)

Tennis-Data would like to acknowledge the following sources which are currently utilised in the compilation of Tennis-Data’s results and odds files.

Results:
Xscores – http://www.xscores.com/
ATPtennis.com – http://www.atptennis.com/
ATP Tour Rankings and Results Page – http://www.stevegtennis.com/
Livescore – http://www.livescore.net/

Rankings:
ATPtennis.com – http://www.atptennis.com/
ATP Tour Rankings and Results Page – http://www.stevegtennis.com/
WTA TOur Rankings – http://www.sonyericssonwtatour.com

Betting odds for matches generally represent the most recent before play starts, as reported by oddsportal.com and the individual bookmakers.

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GameSetMap
Rethinking analytics for tennis using Hawk-Eye data.

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Unlocking Hawk-Eye data: What it means for tennis, the ATP, WTA and ITF.
Posted on May 1, 2013
Since 2005 the governing bodies of tennis (ATP, WTA and ITF) have been collecting data using Hawk-Eye for many top-level tournaments and the Grand Slams. So what have the governing bodies been doing with this data? Where is it stored? Who owns it? Who has access to it?

Hawk-Eye WimbledonHawk-Eye was introduced to tennis in 2005. Since then, the governing bodies of tennis have been collecting valuable data about match play. Image: Hawk-Eye Innovations.

Some background

Early in 2012 I set out to start mapping tennis matches. As a Cartographer, and tennis player this kind of made sense and excited me! Tennis is a spatial game, meaning that the location of the ball and the players are linked spatially to the court. So at any time during a match we can plot where and when a stroke, or player is. The concept of mapping sports matches is not new. It has been around for some time now and is commonly referred to as Sports Analytics or Spatial Analytics. Many sports like Football (Soccer), Basketball and Baseball have been using analytics for years to explore potential unknown patterns about the game, their players and their opponent’s tactics. We have all seen Moneyball right?

To kick off my research into maps about tennis I manually plotted the ball location and player movement from the London Olympics Men’s tennis final using video footage and a 3D visualization application. The results of the research can be read here. This method of data capture was perfect at the time because it allowed me to captured the tags I needed to run my analysis on. As a result of the research I have had tennis players, coaches and other tech companies contact me wanting help analyzing their players patterns, strengths and weaknesses using similar methods as outlined in my research. Sure, I replied with over-the-top enthusiasm. But, we have to manually capture the data first, and that tends to be time-consuming and a tad laborious. So the client says, “Can’t we use Hawk-Eye?” That’s a great question I tell them, but it’s not that easy…

The search begins for Hawk-Eye data

So how would one go about getting access to this infamous Hawk-Eye data that everyone apparently everyone knows about (like its their brother), has seen on TV, but no one knows where it is or who to contact to get access to it? Go direct to Hawk-Eye?

To cut a long story short: Hawk-Eye state that they don’t own the data they capture. The tournaments do. Or do they? After spending the last 6 month trying to track down the right people in the right place at the right time I receive this response recently from Tennis Properties, the management group who runs the ATP. “Tennis Properties own all of the Hawk-Eye data from the Masters 1000 tournaments. We don’t license this data to 3rd parties”. Well at least that clears up who owns the data. But of course that wasn’t the response I had hoped for!

I then turned to Tennis Australia. I figured they might care to share some Hawk-Eye data with another Aussie. This was their response “The Hawk-Eye data is owned by our commercial/IT teams…. but it is not for use for commercial or external endeavors”. So they own their Hawk-Eye data, not Tennis Properties. Confused yet?

So my search started targeting the ATP 500 series tournaments. Tennis Properties had told me that each of these 500 series tournaments has their own agreements in place with Hawk-Eye and that the ATP does not control the data captured at these tournaments. Sounds promising right? Well it was. The team running the Swiss Indoors tournament in Basel granted me permission to all of their match data for their 2012 tournament. I was ecstatic. Finally I would be able to grow my research, and potentially help some of the pending requests from other interested parties. However, they didn’t have the Hawk-Eye data in-house (sigh). I was then directed to Hawk-Eye themselves to retrieve the data….

Swiss Indoors BaselThe Swiss Indoors at Basel granted me access to their Hawk-Eye data from their 2012 tournament. Image: Swiss Indoors.

A further six long months has passed and I am yet to see any sight of the data from Hawk-Eye. Apparently they are too busy to attend to the request of the Swiss Indoors to release the data (grrrggh!).

Why is Hawk-Eye data so protected?

The answer is simple. The data that Hawk-Eye collects is very powerful. It collects the location of the ball and player, the spin of the ball, speed and flight of the ball (just to name a few). If the data lands in the hands of someone who can pull it apart and reveal patterns about players and opponents (that may not have been seen before) then it becomes a potential sticking point for the ATP, WTA or ITF. Or does it? Let’s take a look at this from another point of view.

Bob Kramer, the former tournament director of the Farmer’s Classic* in Los Angeles, said the technology ran at his tournament cost about $60,000-$70,000 for one court, with much of that cost going to installing the infrastructure. Now if I was a tournament director and I was spending that kind of money on new technology then I would be keen to explore ways I can recoup some of those costs. One of those ways may be selling/licensing the Hawk-Data back to its players, the media and fans. Oh but wait, the tournaments can’t do this because the ATP, WTA and ITF control the data. Or do they?

So who really owns Hawk-Eye data?

The tournaments seem to be funding the implementation of the technology (the richer tournaments like Indian Wells have more Hawk-Eye courts than say Miami) so is it their data to share and/or commercialize? Or is the data in fact the player’s data? They are the ones putting on the show; the data is about them, not the tournament. What if Roger Federer or Serena Williams wanted access to the Hawk-Eye data? How quickly would the ATP, the tournaments and Hawk-Eye react to their request? Are they permitted to even access the data?

Tennis unlike Basketball, Baseball and Football (Soccer) is an individual sport, played mostly on neutral territory (with the exception of Davis Cup). In team sports, it is the teams who are collecting the data at their home games, not the governing bodies of each sport. So where does this leave the players? Does Novak Djokovic have to bring his own data capture equipment on court to trace him movements and map his shots? Let’s hope not!

Novak DjokovicWorld number 1, Novak Djokovic may have to bring his own data capture equipment to matches to record his shot patterns and movements! Image: Reuters

What’s in it for the ATP, WTA and ITF to unlock (open) Hawk-Eye data?

Open data initiatives have been actively gaining momentum (outside of sport) as governments and private industry see the benefit of making their data freely available. Late last year however, the Manchester City Football Club (MCFC) opened up some of its match data so it could crowd source new ways of visualizing the data and encourage innovative ways of making use of it (read the Forbes article about the MCFC program here). They were essentially tapping into the crowd’s knowledge and passion for the game to better understand their players and opposing teams. If the governing bodies of tennis were to do this it would open up a unique opportunity to engage with the fans and media like never before. Tim Davies whom is an open data advocate calls this making use of “social infrastructure” that surrounds sports. Opening up the vast of amounts of tennis match data available at a relatively low cost (or for free), would lead to third party innovation, where the next generation of tennis fans could design innovative products, which may result in a new wave of interest in tennis analytics and spawn many new products in tennis. Imagine what IBM could do with data, or anyone else that has an interest in commenting and reporting on the game? Imagine the maps and graphics that the tournaments could supply to the pressroom at the end of the day to help report on the days play!

Opening data can be scary (but it’s time to be brave!)

Opening up your data to the whole world can seem scary at first. There is no doubt the ATP, WTA and ITF will have reservations about doing so. But think of the increased two-way interaction, between the innovators and the data suppliers. Perhaps Hawk-Eye data can be extended way beyond what it is currently being used for? Perhaps there is a revenue stream back to the tournaments that may offset their cost of installing the technology. The data may even be turned into physical products, like artwork for Nike’s next Rafael Nadal t-shirt! Who knows? History has shown that opening up data is not in fact scary, it is incredibly exciting and the possibilities appear endless.

Andy Murray Tennis ArtAndy Murray poses in front of ‘tennis art’ at the O2 Arena in London last year. Andy created the unique portrait of himself that was auctioned off for charity late last year.

Natural Evolution for Tennis

Unlocking Hawk-Eye data is a natural evolution for tennis. As pressure builds on the ATP, WTA and ITF to-be-seen-to-be-keeping up with other sports, perhaps the locks will come off the data. At present, only the TV broadcasters and national tennis associations appear to have a key to the data. Sadly, there is a very valuable stockpile of data gathering dust on some internal server at Hawk-Eye with no use for it all! Of course you might get lucky and be granted access to a portion of that data but fail to ever see it! It will only take one of the ‘next gen’ of players, like a Sloan Stevens or Milos Raonic who understand what modern analytics can do for their game, or one commentator (hint hint, Justin Gimelstob) to lean hard on the governing bodies to move this issue in the right direction. Imagine how powerful the ATP FedEx Reliability Stats could be if they integrated space into their stats by using Hawk-Eye data! Let’s hope that happens quickly. Then we can sit back and watch it open up a whole new world of tennis analytics, third party products and applications that will benefit the players, tournaments, the fans, the media and most of all the great game of tennis itself!

* The Farmers Classic will not be returning to the ATP circuit in 2013. After 86 years, and being the longest running annual professional sporting event in Los Angeles, it ran its last event in 2012.

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This entry was posted in Uncategorized and tagged @damiendemaj, ATP, gamesetmap, hawk-eye, ITF, London Olympics, spatial analytics, sports analytics, Swiss Indoors, tennis, Tennis Australia, WTA by Damien Demaj. Bookmark the permalink.
8 THOUGHTS ON “UNLOCKING HAWK-EYE DATA: WHAT IT MEANS FOR TENNIS, THE ATP, WTA AND ITF.”
Hilda on May 1, 2013 at 6:11 pm said:
Innovation here we come- inspiring stuff !

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b reddy on May 19, 2013 at 12:25 pm said:
Very interesting post. I had just started some experimentation with R using some web tutorials based in Baseball analytics. I am a much bigger Football, Basketball, Tennis fan (grandparents lived in Australia for about 40 years – big Pat Rafter fan here). Following the MIT Sloan Sports Analytics conference this past year, it was clear that Tennis was behind the curve in the analytics “race”. I wanted to see if I could get my hands on any Hawk-eye data, but reading your thorough account is kind of disheartening.

Considering your cartographical (I possibly have just invented this word) approach, perhaps people could “map out” a tennis match, and assign arbitrary coordinates in a way of quantifying the player movements/ball path (essentially just plopping down an X/Y coordinate plane on the court and mapping them out play by play – of course sampling rate becomes a question in this scenario). Either way, that would be primitive in respect to all the detailed data the Hawk-eye gleans.

Oh well, hopefully in the (near) future we can get better access to this Data. Thanks for the report!

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Peder Jakobsen on February 3, 2014 at 6:34 pm said:
Great article. Please let us know if there is any movement on this front. Open Data is the way of the future. :)

Reply ?
Charles Elliott on March 14, 2014 at 8:36 pm said:
I would think SAP or IBM is capturing some of this. But the challenge of getting any statistical data from IBM is that it would most likely cost a fortune.

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