JPH096860A - Entry course predicting device, start order predicting device, and display device for win rate by start course - Google Patents

Abstract

PURPOSE: To make racers who like inner courses considered to be advantageous in motorboat racing distinctive by displaying entry course prediction data showing which start course the racer on each motorboat will enter according to past race result data by grades. CONSTITUTION: A start course that a racer will enter is predicted and at the left side of the screen of a monitor television, the boat numbers (frame) A of 1st-6th boats (frames 1-6) and the racer names B are displayed. On the right side of the boat numbers (frame) A and racer names (B) (at the center part of the screen), course acquisition rate data C showing acquisition rates at which the respective racers acquire specific start courses are displayed. The course acquisition rate data C are calculated on the basis of the past race result data by the grades. For a race SG(special grade), course acquisition rate data C are calculated on the basis of past SG data. On the right side of this course acquisition rate data C (at the right side on the screen), entry course prediction data D are displayed.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an approach course prediction device for predicting which start course each boat will enter in a motor boat race, a start order prediction device for predicting the start order of each approached start course, and an approach. The present invention relates to an entry rate display device for each start course that displays the entry rate for each start course and the expected development of the race.

[0002]

[Prior Art] Motorboat racing, which is a public competition,
On the water surface of the race, a plurality of motor boats start from a predetermined position, run in the direction opposite to the direction of rotation of the hands of the clock, and sequentially turn a predetermined turn mark to finish the predetermined lap and finish in the goal.

The customer predicts the result of the race, and expects a succession multiple type (one that expects one and two boats to arrive regardless of the order of arrival) and one consecutive win (one and two boats that occur in order of arrival). thing),
Each wins a win-winning (forecasting one boat) or multi-winning (forecasting boat number for one or two boats) voucher ticket, and predicts race results. When you do, you will receive a refund.

Then, the customer who purchases various Katsufune voting tickets refers to various information regarding the race in order to hit the result of the race. As a type of such information,
Conventionally, a player name, a past win rate of the player, a motor win rate, a boat win rate and the like, which are published in newspapers and the like, are generally used.

[0005]

However, in a motor boat race, of course, the player name, the previous win rate of the player, the motor win rate, the boat win rate, etc. can be used as a reference, but the start timing is not good and the start line is bad. The course taking, etc. when passing through will greatly affect the subsequent race development and race results.

The details will be described below.

[0007] That is, before the start, the athlete exhibits and sails on the water surface of the race with his / her own motor boat (run to introduce the participating athletes, boats and motors to the customer who purchases the winning boat voting ticket). .

[0008] The athlete who has finished the exhibition voyage waits at a predetermined place, and when instructed by a staff member, promptly appears on the standby water surface to start running (running from start to goal in the competition). The progress from one minute before the start time is notified by the shipping signal clock.

The athlete looks at the second turn mark on the port side and heads toward the start line, and starts within 1.0 second after the start time. At this time, if you pass the start line before the start time, you will be disqualified as "flying", and if you do not pass the start line even 1.0 second after the start time, you will be "delayed" and will be disqualified. In this way, athletes cannot qualify for the race unless they start within the proper time.

In addition, even when the vehicle is started within a proper time, the proper start time has a width of 1.0 second, and since the motor boat passes through it toward the start line at high speed, Goodness and badness have a great influence on the subsequent race development and race results.

Further, when the motor boat goes from the standby water surface to the start line and passes through the start line, 1
It is up to the athlete to decide which position of course, 2 course (so-called in-course), 3 course, 4 course (so-called center course), 5 course, 6 course (so-called out course). Then, when two or more motorboats try to turn the turn mark at the same time, the outer motorboat must give a safe room to the inner motorboat (the principle of inner boat protection).
Generally, in-course is expected to be advantageous.

As described above, although the start timing is good or bad, and the course taking when passing the start line has a great influence on the subsequent race development and the race result, the information in conventional newspapers etc. The fact is that is not clearly stated. Customers who predict the result of the race and purchase the Katsufune voting ticket had no choice but to guess from the player's name whether the start timing was good or bad and the course taken when passing the start line.

Therefore, in the present invention, in the motor boat race, the approach course predicting device for predicting which start course each boat enters, the start order predicting device for predicting the start order of each started course, and the approach start The present invention provides an entry rate display device for each start course, which displays the entry rate for each course and the expected development of the race.

[0014]

Therefore, according to the present invention, in a motorboat race which is a public competition, it is predicted which start course each boat player will enter based on the past grade result data by grade. The above problem was solved by displaying the approach course prediction data.

Also, the above-mentioned problem is solved by displaying the course acquisition rate data in which the player of each boat acquires a specific start course.

Further, in the motorboat race, which is a public competition, it is predicted which start course each boat player will enter based on the past race result data by grade, and each boat player will go to the start course. By displaying the start (slit) order prediction data for predicting the start order when entering, the above-mentioned problem was also solved.

In addition, the above-mentioned problem was solved by displaying the start ranking rate data when the athlete of each boat acquired a specific start course.

On the other hand, in a motorboat race, which is a public competition, based on past race result data by grade, it is predicted which athlete of each boat will enter which start course, and the athlete of each boat will enter the relevant start course. The same problem as above was solved by displaying the arrival rate data for one boat and the arrival rate data for two boats when entering.

[0019] Further, when a player of each boat acquires a specific start course and arrives at the first boat, a rule is calculated based on past grade-based race result data to "run away".
By displaying the race development forecast data such as "point", "rolling", and "free", the above-mentioned problems were also solved.

Furthermore, in the race development forecast data, one of the decisive factors, "escape", "point", and "rolling" when starting from a specific course and becoming the first boat, is 30%. The above-mentioned problem was also solved by displaying those that exceeded the limit and displaying "free" when multiple rulers exceeded 30%.

[0021]

According to the present invention, in a motorboat race, which is a public competition, it is predicted which start course the player of each boat will enter, and the data is displayed as the approach course prediction data.
At this time, the course acquisition rate data in which each boat player acquires a specific start course is also displayed.

In addition to predicting which start course each player of the boat will enter, also predicting the start (slit) order when the player of each boat enters the start course, the start (slit) order prediction Display as data. At this time, the start ranking rate data when the athletes of each boat acquired a specific start course are also displayed.

Furthermore, while predicting which start course each player of the boat will enter, when each player of the boat enters the start course, the arrival rate becomes one and the arrival rate becomes two. Display the arrival rate respectively. At this time, the race development forecast data such as "escape", "point", "roll", and "free" of each boat player are also displayed.

[0024]

An embodiment of the present invention will be described below with reference to the drawings.

FIGS. 1 to 3 show specific examples of the start course entry prediction, the start order prediction, the arrival rate / race development prediction for each start course, which are displayed on the screen of the monitor TV or the like.

FIG. 1 predicts a start course for a player to enter. Here, on the left side of the monitor TV screen, boat number (frame) A of boats 1 (1 frame) to 6 boats (6 frames) and their player names B (Michihiko Ueki, Yukinori Kitagawa, Shigeru Matsui, Hidenori Takayama). , Tatsuya Seo, Masato Aki) are displayed.

To the right of the boat number (frame) A / player name B (center part of the screen), the course acquisition rate data C for the player to acquire a specific start course is displayed. Taking course acquisition rate data C as an example of No. 1 boat (one frame), Michihiko Ueki, the acquisition rate C for one course of Ueki is about 4
The acquisition rate C of 0%, 2 courses and 3 courses is about 20%, the acquisition rate C of 5 courses is about 10%, and the acquisition rates of 4 courses and 6 courses are 0%.

This course acquisition rate data C is calculated based on the past grade-based race result data. The race grades are SG (special grade) and G
There are 1 to G3 and general battles. And the race is S
If it is G (special grade), the past SG
The course acquisition rate data C is calculated based on the (special grade) data.

To the right of the course acquisition rate data C (to the right of the screen)
The approach course prediction data D is displayed on. This approach prediction data D is the course acquisition rate data C of the players (boat Michihiko Ueki, Yukinori Kitagawa, Shigeru Matsui, Hidenori Takayama, Tatsuya Seo, Masato Aki) of boats No. 1 (1 frame) to boat No. 6 (6 frames). It is a result of comprehensive consideration and analysis. In the approach course prediction data D shown in Fig. 1, Ueki will enter 1 course, Aki will be 2 courses, Kitagawa will be 3 courses, Seo will be 4 courses, Matsui will be 5 courses, and Takayama will be 6 courses. I expect.

FIG. 2 predicts the start (slit) order of the players. Again, on the left side of the screen, boat number (frame) A of boats 1 (1 frame) to boat 6 (6 frames) and their player names B (Michihiko Ueki, Yukinori Kitagawa, Shigeru Matsui, Hidenori Takayama, Tatsuya Seo). , Masato Aki) is displayed.

On the right side of the boat number (frame) A and the player name B (center part of the screen), start rank rate data E for each course is displayed. The start rank rate data E is calculated based on the past start rank data of the start course predicted in the start course entry prediction. Of course, the start ranking rate data E is calculated based on the past grade-based race result data.

The start rank rate data E will be explained by taking Tatsuya Seo of Boat No. 5 (5 slots) as an example. Seo will predict that he will enter the 4th course, and Seo's past start ranking at the start of the 4th course. Is displayed. In Figure 2, Seo's 1st start rate is about 70%, 2nd start rate is about 20%, 3rd start rate is about 20%, 5th start rate is about 10%, 4th and 6th start rate. Is 0%.

Then, boat No. 1 (1 frame) to boat No. 6 (6
(Frame) Michihiko Ueki, Yukinori Kitagawa, Shigeru Matsui, Hidenori Takayama,
Tatsuya Seo, Masato Aki's start ranking rate data E are comprehensively considered and analyzed, and start ranking data F for each player is displayed. From the starting rank ratio data E in Figure 2, Seo and Matsui start 1st or 2nd, Ueki and Kitagawa start 3rd or 4th, and Aki and Takayama start 5th or 6th. I expect to do it.

FIG. 3 shows the arrival rate of each player on the start course and predicts the race development of the player. Again, on the left side of the screen, boat number (frame) A of boats 1 (1 frame) to boat 6 (6 frames) and their player names B (Michihiko Ueki, Yukinori Kitagawa, Shigeru Matsui, Hidenori Takayama, Tatsuya Seo). , Masato Aki) is displayed.

On the right side of the boat number (frame) A and player name B (center part of the screen), the arrival rate data G for one arrival and the arrival rate data H for two arrivals are displayed respectively. ing. The arrival rate data G for one boat and the arrival rate data H for two boats are:
It is calculated based on the past arrival rate data on the start course predicted in the start course entry prediction. Of course, the arrival rate data is calculated based on the past grade-based race result data.

Taking the occupancy rate data GH for Shigeru Matsui of Boat No. 3 (three frames) as an example, Matsui is expected to enter the 5th course, and Matsui's 5th start The arrival rate data G for the first arrival and the arrival rate data H for the second arrival are displayed. In Figure 3, Matsui's first landing rate is about 60% and his second landing rate is about 15%.

[Escape] and [Insert] are displayed to the right (on the right of the screen) of the arrival rate data G and H for the first and second arrivals.
・ Race development forecast data I such as "roll" and "free" are displayed. This race development prediction data I is displayed based on the deciding data when a player of each boat enters a specific start course and becomes the first boat. Of course, the rule data is calculated based on past grade-based race result data.

[0038] Specifically, one of the rulers "run away", "point", and "roll" when starting from a specific course and becoming the first boat exceeds 30%. Is displayed as race development forecast data I. Further, when the plurality of rules exceeds 30%, "free" is displayed as the race development prediction data I.

According to the present invention, by displaying these various data in a series of flows, it is possible to inform the customer of important information for hitting the race result in an easy-to-understand manner.

The places where the present invention is used are mainly odds display boards and monitor TVs installed at each boat race, but the present invention is not limited to this, and odds installed away from the boat race It includes all of the display board and monitor TV.

Examples of places where the present invention can be used away from a boat racetrack include an odds display board or a monitor TV at an outside sale place, a monitor TV of an automatic Katsufune voting ticket purchase machine, and a home voting system. There are monitor TVs using various TV relay means including personal monitor TVs and cable TVs. Further, the present invention can be applied to various printed materials such as newspapers and magazines.

[0042]

INDUSTRIAL APPLICABILITY The present invention displays an approach course prediction data D for predicting which start course a player of each boat will enter based on past grade result data in a motorboat race which is a public competition. By doing so, it is clear which athlete likes the in-course, which is generally advantageous in motorboat racing.

In addition, by displaying the course acquisition rate data C for each boat player to acquire a specific start course,
The start track record of past races will also be clear.

Since the respective data C and D are calculated based on the past race result data by grade,
Accurate data C / D corresponding to the race grade can be displayed.

Further, in a motorboat race, which is a public competition, based on past race result data according to grades, it is predicted which player each boat will enter which start course, and each boat player will enter the relevant start course. By displaying the start (slit) order prediction data F that predicts the start order when entering, it is possible to inform the customer in an easy-to-understand manner that the start timing is good and bad, which is a major factor for becoming one in a motorboat race.

Further, by displaying the start rank ratio data E when the athlete of each boat acquires a specific start course, the start results in the past races can be clarified.

On the other hand, in a motorboat race, which is a public competition, it is predicted which start course each boat player will enter based on the past race result data by grade, and each boat player will enter the start course. When entering, the arrival rate data G for one boat and the arrival rate data H for two boats are displayed respectively, so that the arrival order results in the past races are also clear.

[0048] In addition, each boat player acquires a specific start course and calculates the rule when it becomes the first boat based on the past race result data by grade, and "runs away".
・ By displaying the data I for predicting race development, such as “pointing”, “rolling”, and “freedom”, the tactics that players are good at become clear.

Further, the development forecast data shows that one of the rules "Escape", "Point", and "Makuri", which is the rule when starting from a specific course and becoming the first boat, is 3
By displaying the percentage that exceeds 0% and displaying "free" when multiple rules exceed 30%, it is possible to more accurately predict the player's favorite tactics.

By combining various data such as the course acquisition rate data C, the approach course prediction data D, the start ranking rate data E, and the start (slit) ranking prediction data F, for example, a specific player can top the in-course. Start with, and analyze whether you want to take the "escape" tactic, or if another player starts from the out course and adopts the "roll-up" tactic, etc. to make it easier to predict the result of the race. It is a thing.

[Brief description of drawings]

FIG. 1 is a plan view showing an example in which course acquisition rate data for each player and expected approach course data are displayed.

FIG. 2 is a plan view showing an example in which start rank rate data and start (slit) rank prediction data for each player are displayed.

FIG. 3 is a plan view showing an example in which arrival rate data for one player, arrival rate data for two arrivals, and expected race development data are displayed.

[Explanation of symbols]

 A Boat number (frame) B Player name C Course acquisition rate data D Entry course forecast data E Start ranking rate data F Start (slit) ranking forecast data G Arrival rate data for one arrival H Arrival and arrival for two arrivals Rate data I Race development forecast data

Claims (7)

[Claims] 1. In a motorboat race, which is a public competition, based on past grade-based race result data,
An approach course prediction device characterized by displaying approach course prediction data for predicting which start course a player of each boat will enter. 2. The approach course predicting device according to claim 1, wherein the course acquisition rate data in which the athlete of each boat acquires a specific start course is displayed. 3. A motorboat race, which is a public competition, based on past grade-based race result data.
It is characterized by displaying the start (slit) order prediction data that predicts which start course each boat player will enter and the start order when each boat player enters the start course. Start position prediction device. 4. The starting rank rate data when the athletes of each boat acquire a specific start course are displayed.
The starting order prediction device described. 5. In a motorboat race, which is a public competition, based on past grade-based race result data,
Predicting which start course each boat player will enter, and when each boat player enters the relevant start course, the arrival rate data for one boat and the arrival rate data for two boats The arrival rate display device for each start course, which is characterized by displaying each of them. [6] The rule for when each boat player gets a specific start course and becomes the first boat is calculated based on past grade race result data, and "run" The arrival rate display device for each start course according to claim 5, which displays predicted race development data such as "rolling" and "free". [Claim 7] The predictive data of race development is one of the rules "Escape", "Insert" and "Makuri" which is one of the rules when starting from a specific course and becoming one boat.
7. The arrival rate display device according to each start course according to claim 6, wherein the display shows a percentage exceeding 0% and displays "free" when a plurality of rules exceeds 30%.