KR20040009417A - System for expecting winning probability of horse racing and method therefor on internet - Google Patents

Abstract

PURPOSE: A system and a method for estimating a winning probability of a racehorse on the Internet are provided to produce a total winning probability of a racehorse by numerically calculating the winning probability of each racehorse through a database storing the past race records, and reflecting the fortune of the racehorse, a jockey, and an assistant to the winning probability. CONSTITUTION: A web server(10) is connected to an Internet connection tool(5) of a user through an Internet network. A racehorse database(20) stores the information needed to estimate the winning probability of each racehorse for each horserace. A jockey/assistant database(30) stores the information needed to estimate the winning probability of each jockey and assistant. A racehorse winning probability calculating part(40) calculates the winning probability of each racehorse by using the information of the racehorse database. A jockey/assistant winning probability calculating part(50) calculates the winning probability of each jockey/assistant by using the information of the jockey/assistant database. An integrated controlling part(60) controls both winning probability calculating parts.

Description

System for expecting winning probability of horse racing and method therefor on internet}

The present invention relates to a system for predicting horse racing probability on the Internet and a method thereof.

In general, horse racing predicts in advance which racehorse out of the racehorses to win, and puts a predetermined amount on the predicted racehorse. At this time, in predicting the chances of winning a race horse, the race records, such as driving speed, past record, weight, current condition, jockey, assistant, burden weight, age, etc. Based on the data, you can predict the chances of winning.

However, according to the conventional method, since the individual must simply compare and predict each racehorse based on historical data, the process is not only cumbersome but also the possibility of winning a racehorse in horse racing that frequently occurs. There are many difficulties in determining this.

An object of the present invention for solving the above problems, the database of the past race record of the race horse to calculate numerically as the winning probability for each race horse in the race, as well as the race time of the race horse, jockey, assistant This is to provide a horse racing winning probability prediction system and method for computing the overall winning probability of a race horse by reflecting the fortune of the game in the calculated winning probability.

1 is a block diagram of the present invention horse racing probability prediction system,

Figures 2a to 2b is a view showing the data structure of the database of the system of the present invention, Figure 2a is a view showing the data structure of the racehorse database, Figure 2b is a view showing the data structure of the jockey / assistant database,

3 is a flowchart illustrating a method of predicting a horse race winning probability of the present invention;

4 is a flowchart showing a method of calculating the winning probability of the racehorse shown in FIG. 3;

5 is a flowchart showing a method of calculating the odds of winning the odds shown in FIG. 3;

6 is a configuration diagram of a system of another embodiment of the present invention winning probability prediction method;

7 is a flowchart showing the compatibility degree calculation method of the present invention, FIG. 7A is a flowchart showing the compatibility degree calculation method of the present invention, and FIG. 7B is a flow diagram showing a method of calculating the degree of compatibility between a racehorse and a rider in the calculation of compatibility degree. It is a chart.

Explanation of symbols on the main parts of the drawings

5; User internet access tool 10; Web server

20; Racehorse database 30; Jockey / Trainer Database

40; Race horse winning probability calculator 50; Jockey Championship Odds Calculator

60; A central controller 70; Compatibility calculator

100; Internet network 110; WAP gate

120; Mobile communication terminal 200; Back office device

The configuration of the present invention for achieving the above object, the user's Internet access tool; And a web server connected to a user internet access tool through an internet network. And a race horse database linked to the web server and storing necessary information for predicting a winning probability of each race horse for each race of the horse race. And a rider / training database linked to the web server and storing necessary information for estimating the odds of winning a rider and an assistant; And a race horse winning probability calculator configured to calculate a winning probability of each race horse using the information of the race horse database. A jockey / assistant winning probability calculation unit for calculating the odds of winning the jockey and the assistant of the corresponding race time by the races using the information of the jockey / assistant database; Linked to the web server. And a comprehensive control unit controlling the race horse winning probability calculation unit and the jockey / training winning probability calculating unit.

EMBODIMENT OF THE INVENTION Hereinafter, the structure of the preferable embodiment of this invention is demonstrated in detail based on an accompanying drawing.

1 is a block diagram of a system of the present invention.

Internet access tool 5 of the user for accessing the web server 10 of the present invention through the Internet network 100, and the Internet access tool 5 of the user through the Internet network, the present invention databases A web server 10 interworking with 20 and 30 and including a solution for providing, managing, and updating web pages for database search and transmission to a user's Internet access tool 5; The racehorse database 20, which is linked with the server 10 and stores necessary information for estimating the winning probability of each racehorse by the race, and the web server, which is linked to the web server, and predicts the winning probability of each jockey and assistant by the race. Race horse winning probability meter that calculates the winning probability of each race horse by the race using the information of the jockey / training database 30 and the race horse database 20 stored necessary information for the race. A jockey / assistant winning probability calculation unit 50 for calculating the odds of winning the respective jockeys and assistants of the corresponding race time by the race using the information in the unit 40 and the jockey / assistant database 30, and the web Being linked to the server. It is comprised as the comprehensive control part 60 which controls the said racehorse winning probability calculation part 40 and the said jockey / training winning probability calculation part 50. FIG.

At this time, the race horse winning probability calculator 40, the jockey / assistant winning probability calculator 50 and the central control unit 60 is the back-office (200) device of the web server 10 of the present invention As a result, the processing result of the back office device 200 is web paged by the web server 10 to be browsed through the web browser of the user's Internet access tool 5.

2A to 2B are diagrams showing the data structure of the database of the present invention system, FIG. 2A is a diagram showing the data structure of the racehorse database 20, and FIG. 2B is a diagram showing the data structure of the jockey / training database 30. to be.

FIG. 2A illustrates one example of a racehorse data record stored in the racehorse database 20. According to an embodiment of the present invention, as a field constituting the record, a horse's head A0, a date of birth of the racehorse A1, and a sixty-fourth-year-old character A2 corresponding to the date of birth A1 of the racehorse , Horse's gender (A3), place of birth (A4), horse's race (A5), race date and time (A6) of the race in which the horse had raced in the past The average of the sum of the rankings in the number of contestants (A7) indicating the number of races, the ranking (A8), the ranking (A9), and the ranking (A9). The error coefficient A10 calculated as the difference from P), the base of the game A11 and the teaching assistant A12 are recorded, and other information necessary for predicting the probability of winning, for example, training record, burden weight Information such as health status, condition, race distance, climate, strength, weight change, and race track will be recorded after the training field A12.

According to an embodiment of the present invention, the horse (A0) field to the training field (A12) is an essential recording field for storing essential information for calculating the probability of winning a racehorse, and information recorded below the training (A12) field. Are reference record fields in which information may be additionally recorded, which may affect the winning probability estimate according to the needs of the operator of the web server of the present invention.

On the other hand, the field in which the horse's gender (A3) is recorded is recorded as one of three types: female horse, male horse, and castration horse, and the field of birth (A4) is recorded domestically or overseasly.

Here, the recording process of the fields constituting the record will be briefly described with reference to the drawing shown in FIG. 2A. The figure shows an example in which three race records at the time of the racehorse were recorded, namely, LINE 1 to LINE 3. The record is one record for each racehorse, and the horse's name (A0), the date of birth (A1) of the racehorse, the sixty-fourth-year-old (A2) corresponding to the date of birth (A1) of the racehorse, the horse's gender (A3), the place of birth (A4) field is a field that is inputted automatically when inputting a race at the time of the first time, and inputting a race at another time. In addition, the command (A5) field is also automatically calculated and input by the input time at the time of the race input.

According to an embodiment of the present invention, the calculation process for estimating the winning probability of the race horse is calculated with the information related to the fortune of the race horse in the winning probability calculated on the basis of the past record of the race horse to calculate the final winning probability, In the embodiment of the present invention, sixty-four cubits (六 十 甲子) used in ordinary four weeks as information related to the fortune. Here, the information related to the fortune is sufficient if the normal information (for example, constellations, yin and yang five movements, ideology, etc.) that can derive the fortune of a racehorse, jockey, teaching assistant, etc. The kind is not limited by the embodiment of the invention.

Next, the calculation method of conversion order A8 and the error coefficient A9 is demonstrated. The conversion rank (A8) field is a field in which a conversion order in which the number of races at the time of race races is different from each other is recorded. The conversion rank (A8) field is recorded according to an embodiment of the present invention. The conversion order is calculated based on the number of racehorses entered. That is, the calculation of the conversion rank, when the conversion rank in LINE N is H (N),

H (N) = {Rank Result in LINE N (A8) X 10 (Conversion Factor; K)} / Number of Players in Line N (A7)

The conversion factor (K) can be arbitrarily adjusted by the operator of the web server. Therefore, in the example shown in the drawing, the conversion rank in LINE 1 is calculated as 3 (Result Rank) X 10 (Translation Factor) / 14 (Number of Runs) = 2.1, in which case the Conversion Rank (A9) is the Number of Runs (A7) And result rank (A8) is entered, it is automatically calculated and entered by the above calculation method. Similarly, the conversion rank in LINE 2 is 2 X 10/10 = 2, and the conversion rank in LINE 3 is 6 X 10/14 = 4.3. Calculated. In addition, the average P of the conversion ranks is automatically calculated according to the input of the conversion ranks as described above and recorded in the record. The average P of the conversion ranks of the illustrated figure is automatically calculated by recording the sum of the conversion ranks of each LINE, that is, the average value (8.4 / 3) of 2.1 + 2 + 4.3 = 8.4 and recorded in the record.

The error coefficient A10 is calculated as the difference between the conversion rank A9 and the mean P of the conversion ranks, that is, the error coefficient A10 = the conversion rank A9-the average of the conversion ranks. Calculated as (P), the error coefficients of the drawing shown in the examples of the error coefficients of LINE 1 to LINE 3 are recorded as 2.1-2.8 =-0.7, 2.0-2.8 =-0.8, 4.3-2.8 = + 1.5, respectively. Is showing.

On the other hand, according to an embodiment of the present invention, the racehorse database 20 classifies the racehorse records recorded as above into sixty-four (A2), sex (A3), and place of birth (A4) fields of sixties, This means that all racehorse records can be divided into sixty groups (60 packs), sex (mare, horses, castration horses) and place of birth (domestic and foreign) in 360 counties (60 X 3 X 2 = 360). The records of the racehorses that form one group according to the same sixties, sex, and place of birth are used as a basic unit of calculating a racehorse winning probability, which will be described later. For example, in the racehorse shown in the drawing, the racehorse record is included in the racehorse database 20 together with other racehorse records having this same condition in the group with the name of mausoleum;

Next, the data structure of the radix / TA database 30 shown in FIG. 2B will be described.

The figure shows the record of the radix of the radix or the assistant data stored in the radix / TA database, and the record of the TA is stored in the radix / TA database as the record having the same fields as the radix data. Is omitted.

The drawing shows an example where three race records of the past were recorded, namely, LINE 1 to LINE 3. One record for each rider is generated, and the sixty-fourth-sixth person (B2) corresponding to the rider's name (B0), the rider's date of birth (B1), and the rider's date of birth (B1), and the rider's gender (B3), age (B4), race date and time (B5) of the race that the jockey had raced in the past (B5), race name of the racehorse riding in the race at that time (B6), The average of the sum of the rankings in the number of running horses (B7) indicating the number of racehorses, the ranking (B8) and the ranking (B9) of the result ranking (B8). The error coefficient (B10) calculated as the difference from (P), the training assistant (B11) at that time, are recorded, and other information necessary for the prediction of the winning probability, such as training records, burden weight, health condition, Information such as condition, race distance, climate, strength, weight change, and race track will be recorded after the training field B11.

According to an embodiment of the present invention, the nose name (B0) field to the training field (B11) is an essential recording field for storing essential information for calculating the odds of winning the nose, and is recorded below the training field (B11). The information is a reference record field in which information may be additionally recorded that may affect the winning probability estimate according to the needs of the operator of the web server of the present invention.

In addition, according to the embodiment of the present invention, as in the jockey record, sixty-four cubits (되는 十 甲子) used in ordinary four weeks were used as fortune-related information in the jockey record. First, the life B0, the birth date B1 of the rider, the sixty-four-thousand (B2) corresponding to the birth date B1 of the rider, and the gender B3 of the rider are inputted first. Then, the information of the race date and time (B5), race horse name (B6), running horse number (B7), the result ranking (B8), when the information is entered in the race horse record described above, the contents recorded in the race horse record It is compatible with the assistant database 30 and automatically entered into the corresponding fields of the corresponding rider or assistant record.

Since the conversion order B9 and the error coefficient B10 are calculated by the same calculation method as in the case of the racehorse described above, detailed description thereof will be omitted. The example shown in Fig. 2B shows an example in which three fields of the race at the time of the nose are recorded, that is, each field from LINE 1 to LINE 3, are recorded in the nose record.

Meanwhile, according to the embodiment of the present invention, as in the classification of the 360 groups of the racehorse database 20, 120 groups (60 X 2 = 120) according to the sixty-four (60) boxes of the jockey and the gender (male and female) The records of the riders, which are classified into and recorded in the rider / training database, and form one group according to the same sixty-eighteen characters and gender, are used as a basic unit of calculation of the odds of winning the rider. In the example of the rider shown in the figure, the rider record is included in the group with the name of the owner; male; in the rider / training database 30 together with the other rider records with this same condition.

On the other hand, the race horse winning probability calculator 40 has a software solution for calculating the winning probability of the race horse using information stored in the race horse database 20 therein, which is transmitted from the web server 10 According to the command of the central control unit 60 corresponding to the user's request, the software solution built in the race horse winning probability calculation unit 40 is operated to read out the information necessary for predicting the result from the race horse database 20. You will calculate the chance of winning a racehorse. Detailed description thereof will be described later.

In addition, the jockey / assistant winning probability calculation unit 50 calculates the odds of winning the jockey for each race and the race time point of the corresponding race by using the information stored in the jockey / assistant database 30 therein A software solution for calculating is built in. The software solution embedded in the cardinal / train winning probability calculator 50 is instructed by a command of the central controller 60 corresponding to a user's request transmitted from the web server 10. By operating the information required for calculating the winning probability from the jockey / assistant database 30 is read out to calculate the odds of winning the jockey and the assistant at the time of the race race. Detailed description thereof will be described later.

In addition, the web server 10 is interlocked with the WAP gate (Wireless Application Protocol gate) 110, SMS (Short Massage Service, SMS) method to the user's mobile communication terminal 120, Alternatively, the transmission may be performed using other known transmission methods.

Meanwhile, an interface between the user's Internet access tool 5 and the Internet network 100 and an interface between the Internet network 100 and the web server 10 or the web server 10 and the WAP gate 110 and the mobile communication terminal ( 120 is a transmission protocol using the TCP / IP protocol, and may transmit information between each other. Since this may be implemented using a known technique, detailed descriptions of the physical interface and data error handling between these components will be omitted. .

In addition, according to an embodiment of the present invention, the information retrieval and reading and management method of the information between the web server 10, the racehorse database 20 and the rider / training database 30 is a known relational database management system (RDBMS), relational type Database management system) technology so that the web server 10 can search / read and manage the corresponding information required by each database as required.

Next, the horse race winning probability estimation method of the present invention configured as described above will be described in detail with reference to the accompanying drawings.

3 is a flowchart illustrating a method of predicting a horse race winning probability of the present invention, and each step thereof will be described in a modified manner.

1. Web Server Connection Procedures

1) step in which the user connects to the web server 10 through the Internet network 100 using the Internet access tool 5 (step S301);

2) selecting a race for which the user who accesses the web server 10 wants to predict a winning probability (step S302);

3) the web server 10 confirms whether or not the payment of the fee for the prediction of the winning probability of the selected race (step S303);

4) If the payment is successful, the web server 10 requests the central control unit 60 to calculate the winning probability of the race selected by the user, and the central control unit 60 calculates the race horse winning probability calculation unit in response to the winning probability request. Transmitting a command of winning probability calculation to 40 (step S304); It is configured to include, and the operator of the web server 10 of the present invention, if necessary, by skipping the check whether the payment of the fee of the above step (step S303) to give the user the probability of winning a race horse by the web server of the present invention free of charge. Can provide.

2. Procedure for calculating the probability of winning a race horse

Next, the procedure for calculating the probability of winning a race horse is

5) in response to the instruction, the race horse winning probability calculation unit 40 operates the software solution built therein to read information necessary for the result prediction from the race horse database 20 (step S305);

6) calculating, by the race horse winning probability calculator 40, a winning probability of each race horse participating in the race selected by the user according to the read information (step S 306); It is configured to include.

3. Calculation procedure of odds of winning a jockey / TA

Subsequently, the procedure for calculating the odds of winning the assistant / trainer is

7) When the race horse winning probability prediction procedure ends, the central controller 60 instructs the jockey / assistant winning probability calculating unit 50 to calculate the winning probability of the jockey and the assistant participating in the selected race (step S307). );

8) in response to the instruction, the race horse winning probability calculation unit 50 operates the software solution built therein to read information necessary for calculating the winning probability from the jockey / training database 30 (step S308);

9) calculating, by the jockey / TA winning probability calculating unit 50, the winning probability of the corresponding jockey and the TA racing time point corresponding to the race selected by the user according to the read information (step S309). ; It is configured to include.

4. Transmission Procedure of Calculation of Probability of Probability of Racehorse and Jockey / Trainer

Subsequently, the transmission procedure of the winning probability calculation result of the racehorse and the rider / trainer is

10) When the jockey / assistant winning probability calculation procedure ends, the web server 10 wins the race horse and jockey / assistant calculated by the race horse winning probability calculator 40 and the jockey / assistant winning probability calculator 50 Generating a web page including the probability and transmitting the generated web page to the user's Internet access tool (step S310); It is configured to include.

Next, the procedure for calculating the odds of winning a race horse and the procedure for calculating the odds for winning a jockey / training assistant will be described in more detail with reference to FIGS. 4 to 5. 4 is a flowchart showing a method of calculating the winning probability of the racehorse shown in FIG. 3, and FIG. 5 is a flowchart showing a method of calculating the odds winning probability shown in FIG.

First, the method of calculating the winning probability of the racehorse of FIG. 4 is as follows.

1) the racehorse winning probability calculation unit 40 reads a record of the racehorse from the racehorse database 20 (step S401);

2) selecting data corresponding to the race conditions of the race selected by the user (hereinafter referred to as 'the race') from the past race record from the record of the race horse read out (step S402);

Here, the race conditions of the race may include, for example, information having a condition that matches the horse race, weight, distance of the race, etc. of the racehorse, and first selects data having conditions matching the race. If a horse competes for the first time and there is no past race record in the horse's record, the record of the group to which the horse belongs is searched to select data matching the race conditions of the race.

On the other hand, the screening process of the data means to read the information of the LINE having a race condition that matches or similar to the race conditions from the information recorded in the record of the race horse.

3) a conversion rank and an error coefficient are calculated from the selected data (step S403);

Here, since the selected data is a collection of LINEs constituting the record of the race horse, the race horse winning probability calculator 40 sorts them in the order of race date, month, date and time (A6), and then, based on the sorted data, Calculate the mean and error coefficient of the conversion rank.

4) the first winning probability is calculated from the calculated mean of the conversion rank and the error coefficient (step S404);

Next, the first winning probability obtained by the following method is calculated from the calculated conversion rank and the error coefficient.

Primary Winning Probability (%) = [{First-Ranking Probability Factor (K1)-(Average Value of Conversion Rank + Error Coefficient)}] X 10 (Percent Factor)

In the embodiment of the present invention, the first winning probability coefficient K1 was set to 10, and the average value and the error coefficient of the conversion rank were calculated to three decimal places rounded to four decimal places. For example, if the average value of the conversion rank in step S403 is 2.937 and the error coefficient is -0.1, the first winning probability is calculated as {10- (2.937-0.1)} X 10 = 71.63%. Here, the primary winning probability coefficient K1 can be adjusted by the operator of the web server as necessary.

When the calculation of the first winning probability is completed, the race horse winning probability calculation unit 40 reflects the winning probability of the race horse of the race date of the selected race date that the user desires to find the winning probability in the calculated first winning probability. Probability is calculated. The detailed steps are as follows.

5) The race horse winning probability calculation unit 40 calculates sixty boxes of the year, month, date, and time of the race time selected by the user. As a result of the calculation of the sixty-sixth as described above, the race time of the race selected by the user is calculated as, for example, the fifteen-year period, the eclipse month, the ill day, and the net time (step S405);

6) the racehorse database 20 is searched to read information of a LINE matching the calculated sixty-fourth of the sixteenth of the sixty-fourths of the sixty-fourths of the information recorded in the records of all stored racehorses (step S406);

If no racehorse records match the calculated sixty-fourth of a year, find information that matches sixty-fourth of a month.

7) an error coefficient of the read LINE information is calculated (step S407);

In the calculation of the error coefficient, since the information coinciding with the sixty-fourth of the read kites is a collection of LINEs constituting the record of the racehorse, the racehorse winning probability calculation unit 40 replaces them with the race date, month, date and time (A6). In order, the average of the converted ranking of the race horses is calculated from the sorted data, and the error coefficient is calculated.

8) Search the racehorse database 20 to read the information of the LINE matching the sixty-fourth month of the calculated sixty-eighth out of the information recorded in the records of all the racehorses stored, and the error coefficient of the read LINE information Is calculated (step S408);

This step calculates the error coefficient using the same method as the above-described step S407. The calculation of the error coefficients according to the days and times described below is also calculated in the same manner.

9) Search the racehorse database 20 and read the information of the LINE matching the sixty-fourth day of the calculated sixty-fourth out of the information recorded in the records of all the racehorses stored, and the error coefficient of the read LINE information Is calculated (step S409);

10) Search the racehorse database 20 to read the information of the LINE matching the sixty-fourth hour of the calculated sixty-fourth out of the information recorded in the records of all the racehorses stored, and the error coefficient of the read LINE information Calculate (step S410);

11) If the keys of the racehorse and the keys at the race time of the race cause a certain action (sum, loyalty, type, wave, sea, air, etc.) of the racehorse, the racehorse database 20 is searched to record all stored horses. Information of the LINE which had the above predetermined action is read out of the information recorded in " 1 " to calculate an error coefficient of the read LINE information (step S411);

12) calculates the sum of the error coefficients corresponding to the calculated year, month, day, and time and the error coefficient calculated from the racehorse record in which a predetermined action has occurred (step S412);

13) calculate a second winning probability from the sum of the calculated error coefficients (step S413);

According to an embodiment of the present invention, the secondary winning probability is obtained by the following method.

Second chance of winning (%) = First chance of winning (%) + {sum of error coefficients X 10 (percent factor)}

For example, as in the example of step S404 described above, if the primary winning probability is 71.63% and the sum of the error coefficients in step S412 is +0.524, the secondary winning probability is 71.63 (%) + (+0.524 X 10) ( %) = 76.87%.

Next, a method of calculating the odds of winning the rider / TA from the information stored in the rider / TA database 30 will be described with reference to FIG. 5. FIG. 5 is a flowchart illustrating a method of calculating the odds of winning a cardinality shown in FIG. 3, and the method of calculating the odds of winning a cardinality and the method of calculating the winning probability of a teaching assistant use the same method, and therefore, the odds of winning a cardinality here. Only the method of calculating the.

1) the cardinal / TA winning probability calculator 50 reads the record of the cardinal number from the cardinal / TA database 30 (step S501);

2) selecting data corresponding to the race condition of the race selected by the user from the past record of the race from the record of the corresponding rider read out (step S502);

Here, the race conditions of the race may include, for example, information having a condition that matches the age, weight of the jockey, the distance of the race, etc., and if possible, selects data having conditions that match the race. . If the rider is the first rider, the record of the group to which the rider belongs is searched to select data matching the race condition of the race.

On the other hand, the screening process of the data means to read the information of the LINE having a race condition that matches or is similar to the race condition among the information recorded in the record of the nose.

3) a conversion rank and an error coefficient are calculated from the selected data (step S503);

Here, since the selected data is a collection of LINEs constituting the record of the corresponding jockey, the jockey / assistant winning probability calculation unit 50 sorts them in the order of race date, month and date (B5), and the race horse winning probability described above from the sorted data. Using the method described in the method, the average and the error coefficient of the conversion rank of the corresponding base are calculated.

4) a first winning probability is calculated from the calculated mean of the conversion rank and the error coefficient (step S504);

Subsequently, the first winning probability is calculated in the same manner as the above method of calculating the first winning probability of the racehorse from the calculated conversion rank and the error coefficient. When the calculation of the first winning probability is finished, the jockey / assistant winning probability calculating unit 50 calculates the second winning probability reflecting the winning probability of the jockey of the race date and time of the corresponding race selected by the user. The detailed steps are as follows.

5) The rider / train championship probability calculation unit 50 calculates sixty-four characters of the year, month, day, and time of the race time of the race selected by the user. As a result of the calculation of the sixties, the game time of the race selected by the user is calculated in a format such as the year of the eleventh year, the eclipse month, the cause of the illness, and the polished time as in the above example (step S505);

6) Search the jockey / training database 30 to read information of a LINE corresponding to the calculated sixty cuffs of the sixty cuffs from the information recorded in the records of all stored horses (step S506);

If there are no radix / training records that match the calculated sixtieth year of the year, find information that matches sixty-fourth month of the month.

7) calculate an error coefficient of the read LINE information (step S507);

The jockey / training winning probability calculator 50 sorts the read information in the order of year, month, date and time (B5), calculates an average of the conversion ranks of the corresponding horses, according to the above-described method, and calculates an error coefficient.

8) Search the jockey / training database 30 to read the information of the LINE matching the sixty-fourth month of the month among the sixty-fourth of the calculated sixteenth out of the information recorded in the records of all the stored horses, and the error of the read LINE information. A coefficient is calculated (step S508);

9) Search the jockey / training database 30 to read the LINE information that matches the sixty-fourth day of the calculated sixteenth day from the information recorded in the records of all the stored horses, An error coefficient is calculated (step S509);

10) Search the jockey / training database 30 to read the LINE information corresponding to the sixty-fourth hour of the calculated sixty-fourth out of the information recorded in the records of all stored racehorses, An error coefficient is calculated (step S510);

11) If the key of the jockey and the key of the race at the time of the race cause a certain action (sum of keys, loyalty, type, wave, sea, air, etc.), the jockey / assistant database 20 is searched and all the jockeys are stored. Information of the LINE which had the above predetermined action is read out from the information recorded in the record of " 0 ", and an error coefficient of the read LINE information is calculated (step S411);

12) calculating the sum of the error coefficients corresponding to the calculated year, month, day, and time, and the error coefficient calculated from the radix record in which the predetermined action has occurred (step S512);

13) calculate a second winning probability from the sum of the calculated error coefficients (step S513);

The calculation of the second winning probability is calculated in the same manner as in the case of the racehorse described above.

For example, if the rider's primary winning probability is 48.37% and the sum of the error coefficients above +1.015, then the secondary winning probability is calculated as 48.37 (%) + (1.015 X 10) (%) = 61.78%. Subsequently, the primary winning probability and the secondary winning probability of the teaching assistant are calculated using the same method as that for calculating the primary winning probability and the secondary winning probability of the above radix.

Subsequently, the web server 10 displays the winning probability of the racehorse and the jockey / training calculated in the horse racing probability calculation unit 40 and the jockey / training champion probability calculating unit 50, that is, the respective second winning probability. By generating a web page and transmitting it to the user's Internet access tool, the user can recognize the probability of winning each racehorse, each jockey and assistant belonging to the race selected by the user.

6 is a configuration diagram of a system of another embodiment of the method for predicting horse race winning probability according to the present invention, which will be described in detail with reference to the accompanying drawings. The description of the same reference numerals as in the above-described embodiment will be omitted.

The configuration of the system of another embodiment according to the present invention is that the back office device 200 of the present invention further includes a compatibility calculator 70, the compatibility calculator 70 is a racehorse in the embodiment When the race horse of the race in the winning probability calculation unit 40 and the rider / train winning probability calculation unit 50 and the calculation of the winning probability at the start point of the race of the jockey and the assistant are finished, It is the part that calculates the affinity between the rider riding on the race horse and the assistant training the race horse.

To this end, the compatibility degree calculation unit 70 is interlocked with the racehorse database 20 and the rider / training database 30 to obtain necessary information from the records of the racehorse and the rider / train stored in the databases 20 and 30. A software solution for reading and calculating a degree of compatibility between the racehorse and the rider and the racehorse and the teaching assistant is built in, and the software solution is operated by the command of the central controller 60.

Subsequently, the compatibility degree calculated by the compatibility calculator 70 is transmitted to the user's Internet access tool together with the winning probability of the racehorse and the winning probability of the jockey / trainer, so that the user can use the web browser to compare the compatibility between them. It can be recognized through.

The method of calculating the degree of compatibility in the degree of compatibility calculation unit 70 will be described with reference to FIG. 7. Fig. 7A is a flowchart showing the affinity calculation method of the present invention, and Fig. 7B is a flowchart showing a method of calculating the affinity degree of a racehorse and a rider in the affinity calculation.

The compatibility degree calculation method of the present invention,

1) when the race horse winning probability calculation procedure and the rider / train winning probability calculation procedure are completed, the central controller 60 instructs the compatibility degree calculation unit 70 to calculate the compatibility degree (step S701);

2) calculating, by the command, the compatibility degree of the racehorse and the rider participating in the corresponding race selected by the user (step S702);

3) when the calculation of the degree of compatibility between the race horse and the jockey is finished, the step of calculating the degree of compatibility between the race horse and the assistant to compete in the race selected by the user (step S703);

4) generating, by the web server 10, a web page including a calculated race horse winning probability and a rider / train winning probability, a race horse and a horse's affinity and a race horse and a horse's affinity, and transmitting the generated web page to a user's Internet access tool. (Step S703); It is configured to include.

Here, the step of calculating the degree of compatibility between the race horse and the nose (step S702); To explain in more detail as follows.

2-1) The affinity calculation unit 70 reads a record of the racehorses participating in the race from the racehorse database 20 (step S702-1);

2-2) The average value P of conversion ranks is read out from the record of the read racehorse (step S702-2);

Since the average value P of the conversion ranks is already recorded in the record, the compatibility degree calculation unit 70 only needs to retrieve this value.

2-3) it is searched whether there is a LINE in which the racehorse raced with the corresponding jockey from the read racehorse record (step S702-3);

If there is no LINE information that has raced with the jockey from the racehorse record, the racehorse searches whether there is a LINE that has raced with other jockeys included in the group to which the jockey belongs (step S702-4);

In addition, when the racehorse is first exhibited, if the result is not obtained in step S702-4, it is searched whether there are other racehorses included in the group to which the racehorse belongs and the LINE where the corresponding jockey raced (step S702-5);

In addition, if the result is not obtained in step S702-5 when the rider first starts, all the racehorses of the group to which the corresponding racehorse belongs and the line where all the riders of the group to which the corresponding jockey raced together are searched (step S702). -6);

2-4) an average value P 'of conversion ranks is calculated by sorting the retrieved LINE information (step S702-7);

2-5) The difference value of the average value P of the conversion rank of the said racehorse record and the average value P 'of the conversion rank calculated by step S702-7 is calculated (step S702-8). The calculated difference value is referred to as S1 for convenience.

2-6) Next, the affinity calculation unit 70 reads the record of the rider participating in the race from the rider / training database 30 (step S702-9);

2-7) the average value P of conversion ranks is read out from the record of the read base (step S702-10);

2-8) it is searched whether there is a LINE in which the corresponding rider raced with the racehorse from the read rider record (step S702-11);

If there is no LINE information in which the jockey raced with the racehorse from the jockey record, it is searched whether there is a LINE in which the jockey raced with racehorses included in the group to which the racehorse belongs (step S702-12);

In addition, when the rider first starts, if the result is not obtained in the above step S702-12, it is searched whether there are other riders included in the group to which the rider belongs and the LINE where the racehorse raced (step S702-13). ;

In addition, if the racehorse is first exhibited, if the result is not obtained in the above step S702-13, all the jockeys of the group of the corresponding jockey and all the racehorses of the group to which the racehorse belongs are searched for the LINE (step S702). -14);

2-9) an average value P 'of conversion ranks is calculated by sorting the retrieved LINE information (step S702-15);

2-10) The difference value between the average value P of the conversion rank of the cardinality record and the average value P 'of the conversion rank calculated in step S702-15 is calculated (step S702-16). The calculated difference value is referred to as S2 for convenience.

2-11) S1, which is a difference between the average value P of the conversion rank of the racehorse record and the average value P 'of the conversion rank, and the average value P of the conversion rank of the cardinality record, and the calculation in step S702-15. The compatibility degree calculated as follows is calculated using S2 which is the difference value of the average value P 'of one conversion rank (steps S702-17). Compatibility is referred to herein as S.

Race horse and jockey compatibility (S) = 60 (compatibility coefficient) + {(S1 + S2) X 10}

For example, if the value of S1 is -1.025 and the value of S2 is +0.476, the affinity S between the racehorse and the rider is calculated as 60 + {(-1.025 + 0.476) X 10} = 54.51. Here, the compatibility coefficient can be adjusted by the operator of the web server.

Next, the compatibility degree calculation unit 70 calculates the degree of compatibility between the racehorse and the assistant (step S703), and the calculation thereof may be performed using the same method of calculating the degree of compatibility (S) between the racehorse and the jockey described above. Omit the description. However, the calculated affinity between the racehorse and the assistant is called T for convenience.

Subsequently, the web server 10 generates a web page including the calculated race horse winning probability, the rider / train winning probability, the race horse and the rider's compatibility degree (S), and the race horse and the trainer's compatibility degree (T). It will be sent to the internet access tool.

In addition, the web server 10 preferably multiplies a predetermined weighting factor to each of or among them, the race horse winning probability and the rider / train winning probability and the race horse and the horse's affinity, or the race horse's and the horse's affinity, respectively. In this case, it is desirable to calculate the overall winning probability reflecting each multiplied value and transmit the result to the user internet access tool.

Calculation of the overall winning probability by the weighting factor is, for example, the winning probability of the race horse is 75%, the winning probability of the jockey is 60%, and the affinity of the racing horse and the jockey is 50%. Is 0.4 (40%), cardinal weight 0.3 (30%), and compatibility weight 0.3 (30%), the overall winning probability is 75 X 0.4 + 60 X 0.3 + 50 X 0.3 = 63%. Probability is calculated.

As mentioned above, although the configuration of the preferred embodiment of the present invention has been described in detail with reference to the accompanying drawings, it will be apparent that various modifications are possible by those skilled in the art for the purpose of describing the present invention. As an example, there may be an embodiment in which the winning probability prediction system and method according to the present invention are used in a race wheel, and such an implementation is within the claims of the present invention.

The effect of the present invention having the configuration as described above, by calculating the probability of winning each race horse of the corresponding race by the database of the past race records of the race horse, the user can easily predict the probability of winning each race horse It works.

In addition, by calculating the compatibility of race horses and jockeys and the training of race horses, it is possible to provide a reliable probability of winning the game, and to provide a total probability of winning the race horses and jockeys. Not only is it easy to grasp the probability, it is an advanced invention having the effect of further inspiring the user's interest.

Claims (6)

In a typical server-client system using the Internet network, A user's internet access tool 5; And a web server 10 connected to a user internet access tool through an internet network. And a racehorse database 20 linked to the web server and storing necessary information for estimating a winning probability of each racehorse for each race of the horse race. And a rider / training database 30 linked to the web server and storing necessary information for estimating the odds of winning a rider and an assistant; And a racehorse winning probability calculator 40 for calculating a winning probability of each racehorse by using the information of the racehorse database. A jockey / assistant winning probability calculation unit 50 for calculating the odds of winning a jockey and an assistant of a corresponding race time for each race by using the information of the jockey / assistant database; Linked to the web server. Comprehensive control unit for controlling the race horse winning probability calculation unit and the jockey / assistant winning probability calculating unit; Horse racing probability estimation system on the Internet, characterized in that it comprises a. The method of claim 1, Interlocking with the racehorse database 20 and the jockey / assistant database 30, the information of the racehorse and jockey / assistant stored in the database (20, 30) to read the compatibility between the racehorse and jockey and racehorse and training The horse race winning probability prediction system on the Internet, characterized in that further comprises a compatibility calculation unit 70 for calculating the. The method according to claim 1 or 2, Web server 10 is linked to the WAP gate 110, horse racing on the Internet, characterized in that for transmitting the race horse winning probability, the jockey / assistant winning probability and compatibility degree to the user's mobile communication terminal 120 Winning odds prediction system. A user who accesses a web server through an internet network using an internet access tool selects a race to expect a winning probability, and the database records information that may affect the championship of the race records of each race participating in the selected race. A race horse winning probability prediction procedure of reading out and calculating the probability of winning the horse at the start of a corresponding race of each race horse; A rider / training winning probability predicting procedure for reading information of a racehorse-based jockey and assistants participating in the selected race from a database and calculating winning probability information at the start of the race-horse of the jockey and assistants; Received the information on the probability of winning each racehorse calculated in the race horse winning probability prediction procedure and the information on the probability of winning of each rider / train calculated in the expected probability of winning the jockey / train. Winning probability transmission procedure for transmitting the winning probability information to the user's Internet access tool; Horse racing probability estimation method on the Internet, characterized in that configured to include. The method of claim 4, wherein And an affinity calculation procedure for calculating an affinity degree between a corresponding racehorse and its rider and an affinity degree between the corresponding racehorse and an assistant in the selected race according to the fortune information derived from the fortune-deriving procedure. How to estimate your chances of winning a horse on the Internet. The method according to claim 4 or 5, The web server 10 multiplies, or selectively multiplies, a predetermined weighting factor by, or among them, the race horse win probability and the rider / train win probability and the race horse and jockey compatibility, or the race horse and assistant match, respectively. A method of estimating a horse winning probability on the Internet, comprising calculating a total winning probability reflecting a value and transmitting the result to a user internet access tool.