The Unseen data to test the models created in "Predicting the Outcome of a Horse Race"

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Horse Racing Market Size 2024-2028

The horse racing market size is forecast to increase by USD 114.5 billion, at a CAGR of 14.71% between 2023 and 2028.

The market witnesses an intriguing interplay of trends and challenges. The involvement of younger generations in horse racing is a significant driver, as this demographic brings fresh energy and enthusiasm to the sport. This demographic shift is evident in the increasing popularity of horse racing events that cater to the younger audience, such as music festivals and tech-savvy initiatives. Another trend shaping the market is the growing adoption of online betting platforms. Technology has transformed the way horse racing enthusiasts engage with the sport, allowing for convenient and accessible betting experiences. This shift towards digital platforms is a response to evolving consumer preferences and the convenience they offer.
However, the market is not without challenges. The rising concerns for animal welfare pose a significant obstacle. The horse racing industry faces increasing scrutiny and pressure to ensure the well-being of its equine athletes. Addressing these concerns requires a collaborative effort from all stakeholders, including race organizers, trainers, and governing bodies. By implementing stricter regulations and investing in research and development, the industry can mitigate these challenges and maintain its reputation as a responsible and ethical pastime.

What will be the Size of the Horse Racing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, with various sectors experiencing ongoing dynamics that shape the industry. Veterinary care plays a crucial role in ensuring the wellbeing of equine athletes, with advancements in equine health leading to improved performance and fan engagement. Track conditions and race strategy are critical factors influencing the outcome of races, with media coverage providing real-time updates on these elements. Prize money and performance data are essential tools for horse racing media and gambling regulation, providing valuable insights for fans and stakeholders alike. Social media and online streaming platforms have revolutionized fan engagement, allowing for unprecedented access to racing events and real-time analysis of race statistics.

Governing bodies and racing associations work to maintain integrity and adhere to strict regulations, including drug testing and animal rights. The horse racing industry is a global phenomenon, with events such as the Triple Crown, Royal Ascot, Melbourne Cup, and Breeders' Cup attracting international attention. Racing equipment, including boots, helmets, and racing silks, plays a vital role in ensuring the safety and comfort of horses. Race preparation and training regimens are continually refined to optimize performance, with racing surfaces and race classes catering to various horse breeds and abilities. Pari-mutuel betting and betting exchanges offer fans the opportunity to place wagers on their preferred horses, with fixed odds providing a sense of security and predictability.

Horse racing statistics and betting odds are closely monitored by fans and industry experts, with post-race recovery and race distances influencing the outcome of races. In summary, the market is a dynamic and evolving industry, with various sectors interconnected and influencing one another. From veterinary care and track conditions to fan engagement and gambling regulation, the horse racing industry continues to innovate and adapt to meet the changing needs and expectations of fans and stakeholders.

How is this Horse Racing Industry segmented?

The horse racing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Flat racing
  Jump racing
  Harness racing
  Endurance racing


Revenue Stream

  Betting revenue
  Live event revenue
  Broadcasting rights
  Sponsorship and advertising
  Horse sales and breeding


Geography

  North America

    US


  Europe

    France
    UK


  APAC

    Australia
    Japan


  Rest of World (ROW)

By Type Insights

The flat racing segment is estimated to witness significant growth during the forecast period.

Flat horse racing is a globally popular equestrian sport where horses compete over predetermined distances, ranging from 402 to 4,828 meters. The majority of races take place on turf, with North America predominantly using dirt surfaces. This cultural phenomenon attracts millions of spectators annually, particularly in the UK, where it intertwines with fashion and social events. The sport's strategy and uniqu

Horse Racing Market Prediction

Tips, Odds, Pool Winnings, and Historical Performance

By Selene Arrazolo [source]

About this dataset

The Horse Racing Market Analysis Dataset is here to help you make informed decisions when it comes to predicting the outcome of a horse race. This comprehensive dataset contains an array of data points that provides insights into factors such as track conditions, weather conditions, total wagers across all runners which can be used to get a clearer understanding on how various elements may influence the outcome of each race. The Markets.csv file also includes crucial details like start time and race number in addition to pool winnings and place margins for each runner in the race. Furthermore, data collected from tipsters can be found within runners.csv along with the odds paid out on each runner's win and place market, form rating of each horse in its past three races, handicap weight and barriers they started from among other metrics. And finally, auxiliary files like conditions CSV which identifies track condition at separate levels or weathers CSV which names weather during particular races provide useful context for understanding when viewing this data set. Through these metrics it is possible gain an insight into what impacts play a bigger role when trying to predict winners so you can increase your chances at placing successful bets!

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How to use the dataset

This dataset provides data on horse racing market analysis and prediction, including race results, information on the runners and their form, details about the weather and track conditions, odds from various sources, and tips from tipsters.

Research Ideas

• Analyzing betting odds for different races and predicting which horses have the highest probability of winning or placing based on the collected data.
• Comparing weather conditions relative to performance in a race and determining if there is a correlation between the two.
• Creating a predictive model that analyzes different factors such as form ratings, distances, handicap weights or blinkers to provide informed tips for horse racing bettors and punters

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for non-commercial purposes only. - Adapt - remix, transform, and build upon the material for non-commercial purposes only. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - You may not: - Use the material for commercial purposes.

Columns

File: runners.csv | Column name | Description | |:-------------------------|:-----------------------------------------------------------------------------------| | collected_at | The date and time the data was collected. (DateTime) | | position | The position of the horse in the race. (Integer) | | margin | The margin of the horse in the race. (Integer) | | handicap_weight | The handicap weight of the horse in the race. (Integer) | | number | The number of the horse in the race. (Integer) | | barrier | The barrier of the horse in the race. (Integer) | | blinkers | Whether the horse is wearing blinkers or not. (Boolean) | | emergency | Whether the horse is an emergency or not. (Boolean) | | form_rating_one | The form rating of the horse in its last race. (Integer) | | form_rating_two | The form rating of the horse in its second last race. (Integer) | | form_rating_three | The form rating of the horse in its third last race. (Integer) | | last_five_starts | The last five starts of the horse. (String) ...

Korea Racing Authority provides information on the results of races held at Seoul, Busan, Gyeongnam, and Jeju racecourses. (Information provided includes racecourse name, race date, race number, race grade, race track condition, order of arrival, start number, horse name, horse number, country of origin, domestic/foreign classification, horse age, gender, race record, total number of first-place finishes, total number of second-place finishes, total number of appearances, number of first-place finishes in the past year, number of second-place finishes in the past year, number of appearances in the past year, jockey age, jockey career, total number of first-place finishes by jockey, total number of second-place finishes by jockey, total number of appearances by jockey, number of first-place finishes by jockey in the past year, number of second-place finishes by jockey in the past year, number of appearances by jockey in the past year, trainer career, total number of first-place finishes by trainer, total number of second-place finishes by trainer, total number of appearances by trainer, number of first-place finishes by trainer in the past year, number of second-place finishes by trainer in the past year, number of appearances by trainer in the past year, horse weight (These are data on increase/decrease, burden weight, jockey name, jockey number, trainer name, trainer number, actual departure time, scheduled departure time, departure time change type, departure time change reason, cancellation, confirmation, number of 1st place finishes by entrusted racing horses, number of 2nd place finishes by entrusted racing horses, number of appearances by entrusted racing horses, Seoul section passing ranking, Jeju section passing ranking, Busan-Gyeongnam section passing ranking, Seoul section passing cumulative record, Jeju section passing record, Busan-Gyeongnam section passing record, and Busan-Gyeongnam section passing cumulative record.) - You can search for data using the race confirmation status (final_bit), racecourse number (meet), race date (rc_date), race month (rc_month), race number (rc_no), race year (rc_year), page number (pageNo), and the number to be displayed per page (numOfRows) in the request message.

Context

This represents race data for Woodbine Track in Toronto, ON from the period of 06/2015 - 04/2017

Here are a few use cases for this project:

1. Sports Analytics: The "Horse Racing Level 2" model can be utilized for breaking down video or images from horse races, identifying key features such as the horse's body, number labels, or helmets. This could assist in providing real-time race statistics, horse performance analysis, and tracking the jockey's control by scrutinizing his movement and head orientation.

2. Betting Applications: Computer vision model could be utilized in the creation of platforms for horse racing betting. It can collect data about the horses and their jockeys during the races, enabling users to make informed bets based on a horse's performance or a jockey's strategy visualized by the model.

3. Training Enhancement: Trainers could use this model to monitor and analyze a jockey's form and the horse's performance during training sessions. This could provide crucial insights for improving techniques, strategy and overall performance.

4. Media Coverage: Media outlets could use this model to enhance the viewer's experience by offering deeper insights into the race such as visualizing the number labels, horse details or helmet analysis for audience's better understanding of the race.

5. Event Security: At horse racing events, security officials can use this model to identify specific jockeys or horses based on their helmets and label numbers, respectively. This could assist them in monitoring activities in crowded situations or controlling access to certain areas.

The Korea Racing Authority provides information on the highest/lowest/average records for each horse in races held at racecourses in Seoul, Busan-Gyeongnam, and Jeju. (The provided data is the racecourse name, horse name, horse number, race date, race number, race distance, start number, best record, S1F best record, S1F lowest record, S1F average record, 1C best record, 1C lowest record, 1C average record, 2C best record, 2C lowest record, 2C average record, 3C best record, 3C lowest record, 3C average record, 4C best record, 4C lowest record, 4C average record, G3F best record, G3F lowest record, G3F average record, G1F best record, G1F lowest record, G1F average record.) - You can search the data using the page number (pageNo) and the number to be displayed per page (numOfRows), horse name (hr_name), horse number (hr_no), racecourse type (meet), race date (rc_date), race year (rc_year), and race month (rc_month) in the request message. - Displays the highest, lowest, and average section records by distance for the previous races, including the entered race date, for the horses that participated on the race date entered in the request message. - The race date and race number in the displayed data are the race data for which the horse achieved the highest record by distance. ※ Additional explanation of summary words - F (FURLONG): 200-meter section - C (CORNER): Curved section - S1F: 200-meter section from the starting point - G1F: 200-meter section from the finishing point - G3F: 600-meter section from the finishing point

The horse racing software market has emerged as a vital component within the larger equine industry, providing necessary solutions for race track management, betting operations, and performance analysis. This software enables race organizers and bettors to enhance their experience by offering tools like data analyti

Korea Racing Authority provides data on the racing performance of horses entered in Seoul, Busan-Gyeongnam, and Jeju racecourses. (Provided data includes the name of the racecourse, horse name, horse number, place of birth, sex, age, debut date, most recent race date, most recent race number, most recent race ranking, most recent race record, most recent race burden weight, most recent race rating, most recent race horse weight, most recent race name, most recent race burden type, most recent race grade, most recent race distance, total number of starts, total number of first places, total number of second places, total winning percentage, total place percentage, total starts in the past year, number of first places in the past year, number of second places in the past year, winning percentage in the past year, place percentage in the past year, total finishing prize money, finishing prize money in the past year, and prize money earned in the past 6 months.)

Macau Gaming: Gross Revenue: Horse Racing data was reported at 19.000 MOP mn in Sep 2018. This records a decrease from the previous number of 26.000 MOP mn for Jun 2018. Macau Gaming: Gross Revenue: Horse Racing data is updated quarterly, averaging 91.000 MOP mn from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 248.000 MOP mn in Mar 2005 and a record low of 19.000 MOP mn in Sep 2018. Macau Gaming: Gross Revenue: Horse Racing data remains active status in CEIC and is reported by Gaming Inspection and Coordination Bureau. The data is categorized under Global Database’s Macau SAR – Table MO.Q017: Gaming Statistics.

The Korea Racing Authority provides racing performance data for races held at racecourses in Seoul, Busan, Gyeongnam, and Jeju. (The provided data includes the racecourse name, race date, race number, single win winning entry number, single win odds, consecutive win winning entry number, consecutive win odds, place winning entry number, place odds, quinquenat winning entry number, quinquenat odds, quinquenat winning entry number, quinquenat odds, quinquenat winning entry number, quinquenat odds, trifecta winning entry number, trifecta odds, trifecta winning entry number, and trifecta odds.) - If you do not enter all request messages related to dates such as race year, race year/month, and race date in the request message, information for the past month based on the race date will be displayed. ※ Horse racing terms Betting odds - Single win: This is a method to correctly predict one horse to finish in 1st place. - Consecutive win: This is a method to correctly predict one horse to finish in 1st to 3rd place. - Place bet: This is a method to predict two horses that will finish in 1st, 2nd, and 3rd place, in any order. - Place bet: This is a method to predict two horses that will finish in 1st and 2nd place, in any order. - Win bet: This is a method to predict two horses that will finish in 1st and 2nd place, in order. - Triple bet: This is a method to predict three horses that will finish in 1st, 2nd, and 3rd place, in any order. - Tri-win bet: This is a method to predict three horses that will finish in 1st, 2nd, and 3rd place, in order.

The Horse Racing Bookmakers market plays a crucial role in the global gambling industry, providing enthusiasts with platforms to place bets on various horse racing events. This market has evolved significantly over the years, driven by the increasing popularity of horse racing as a spectator sport and the rise of on

Korea Racing Authority provides information on the best race records by race distance for races held at racecourses in Seoul, Busan, Gyeongnam, and Jeju, as well as the average record information for the corresponding race distance. (Provided data includes the name of the racecourse, race date, race number, race distance, horse name, horse number, race name, grade, place of origin, best record, average record, racecourse condition, moisture content, and weather data.) - You can search for data using the number of cases per page and the page number in the request message. - When there is no value for track condition (TRACK) and weather (WEATHER), it is processed as '-'. ※ Racecourse condition is indicated in 5 levels: moisture content 1-5% (dry), 6-9% (good), 10-14% (humid), 15-19% (saturated), and 20% or more (poor).

Introduction:

Greetings, horse racing enthusiasts and data analysts! Today, we embark on an exciting journey into the world of horse racing data analysis. We are pleased to present a comprehensive three-month horse racing dataset available exclusively on Kaggle.

The Kaggle Dataset:

Rich and Comprehensive: Our dataset covers a wide range of horse racing events, including race results, odds, rankings, and more. It's a treasure trove of insights waiting to be discovered.

Ideal for Research: Whether you're a seasoned data scientist, a student conducting research, or simply curious about horse racing, this dataset provides an invaluable resource for your projects.

Limitless Possibilities: Dive into the dataset to analyze historical race outcomes, identify trends, and develop winning strategies. The possibilities for exploration and discovery are boundless.

Unlock More Insights with Horse Racing API:

Looking for real-time updates, deeper statistics, or additional insights? Try Horse Racing API! It complements our Kaggle dataset and offers a wealth of supplementary horse racing data.

To access the API and explore the enhanced features, visit Rapid API.

Take advantage of a limited-time offer: The first 10 users can enjoy FREE access to Horse Racing API. Don't miss out on this opportunity to supercharge your analysis.

If you have questions about using Horse Racing API or need assistance, our support team is here to help. Contact us.

Context

This dataset contains data of horse racings from 1990 till 2020.

Content

There are two different file types, races and horses, one pair for each year from 1990. I hope to update the current year data on a regular basis.

races_* columns description:

rid - Race id; course - Course of the race, country code in brackets, AW means All Weather, no brackets means UK; time - Time of the race in hh:mm format, London TZ; date - Date of the race; title - Title of the race; rclass - Race class; band - Band; ages - Ages allowed distance - Distance; condition - Surface condition; hurdles - Hurdles, their type and amount; prizes - Places prizes; winningTime - Best time shown; prize - Prizes total (sum of prizes column); metric - Distance in meters; countryCode - Country of the race; ncond - condition type (created from condition feature); class - class type (created from rclass feature).

horses_* columns description:

rid - Race id; horseName - Horse name; age - Horse age; saddle - Saddle # where horse starts; decimalPrice - 1/Decimal price; isFav - Was horse favorite before start? Can be more then one fav in a race; trainerName - Trainer name; jockeyName - Jockey name; position - Finishing position, 40 if horse didn't finish; positionL - how far a horse has finished from the pursued horse, horses corpses; dist - how far a horse has finished from a winner, horses corpses; weightSt - Horse weight in St; weightLb - Horse weight in Lb; overWeight - Overweight code; outHandicap - Handicap; headGear - Head gear code; RPR - RP Rating; TR - Topspeed; OR - Official Rating father - Horse's Father name; mother - Horse's Mother name; gfather - Horse's Grandfather name; runners - Runners total; margin - Sum of decimalPrices for the race; weight - Horse weight in kg; res_win - Horse won or not; res_place - Horse placed or not

forward.csv contains information collected prior a race starts. The odds are averages from from Oddschecker.com, RPRc and TRc also have current values.

Note

Please be aware, the prices provided are the SP (starting prices), and they are not available before race starts. This means prices before start may differ from SP. But usually favorites stay the same, and prices on them often higher then SP. Anyway you can't predict profit with accuracy based only on SP prices.

Inspiration

I suppose prediction of horse racing results by machine learning methods is a difficult task. There is no any highly correlated features, the outcome classes are imbalanced. I tried to make my own predictions, but with no luck. I hope to get some inspirations from your research. Please, share your experience with everyone or just with me. Thank you!

Disclaimer

The data provided has been collected from public open websites, without sign-ups, log-ins and other restrictions from sources. Please, do not use this data for any commercial purposes.

The Horse Racing Equipment market plays a pivotal role in the equine industry, catering to the diverse needs of riders, trainers, and horse owners. This sector encompasses a variety of products designed to enhance the performance and welfare of racehorses, from saddles and bridles to protective gear and racing tools

The Horse Racing Betting Services market has evolved into a dynamic segment of the global gambling industry, specifically catering to enthusiasts who seek excitement while wagering on their favorite equine competitors. This market encompasses a range of services, including online and offline betting platforms, horse

The Korea Racing Authority provides information on the total racing records of horses, jockeys, and trainers at racecourses in Seoul, Busan, Gyeongnam, and Jeju. (The information provided is subject category, racecourse name, subject unique number, subject name, total 1st to 5th place, total number of starts, total first-place prize money, total conditional prize money, 1st to 5th place times in the past year, number of starts in the past year, last-place prize money in the past year, conditional prize money in the past year, 1st to 5th place times in the past 6 months, number of starts in the past 6 months, last-place prize money in the past 6 months, and conditional prize money in the past 6 months.) - You can search for data using the racecourse category (meet-1: Seoul, 2: Jeju, 3: Busan, Gyeongnam), subject category (pr_gubun-0: racehorse, 1: owner, 2: trainer, 3: jockey), subject name (pr_name), and subject unique number (pr_no) in the request message.

Can You Predict The Result?

Horse racing is one of the sport which involved many gambling activities. Million of people in the world tried to find their 'winning formula' in order to gain profit from betting. Since there are many factors which could affect the race result, data analysis on horse racing became much interesting.

Hong Kong horse racing is especially interesting due to the follow reasons:
- The handicap system made the race more competitive
- Horse pool is small compared to other countries so that horses will meet their rivalries very often in the races
- Limited number of jockey/trainer
- Data are well managed by the official :)

The Dataset

The dataset contains the race result of 1561 local races throughout Hong Kong racing seasons 2014-16 and more information will be added into the dataset. The dataset is divided into two tables (which can be joined by race_id). Most of the column description can be found below with one extra piece of information:

finishing_position - For special incident, please refer to here

So, can you find any pattern for the winner under some condition? Did you spot out a winning strategy? (FYI, betting on all horse equally will bring a loss of ~17.5% on average) Which jockey/trainer is worth to follow?

Don't wait and start the data analysis! You may find some of the kernels I created useful. Enjoy! And please remember to share your finding with the community!

Acknowledgement

The data are extracted from the website of The Hong Kong Jockey Club

How to get started?

In case you are not familiar with Hong Kong horse racing, please see this notebook as a get started tutorial.

Korea Racing Authority provides performance information on races held at racecourses in Seoul, Busan, Gyeongnam, and Jeju. (Information provided includes racecourse, race date, race day, race number, number of race days, race distance, grade conditions, burden classification, race conditions, age conditions, weather, main race, race name, 1st place prize money, 2nd place prize money, 3rd place prize money, 4th place prize money, 5th place prize money, additional prize money 1, additional prize money 2, additional prize money 3, ranking, ranking notes, starting number, horse name, horse number, nationality, age, date of birth, gender, burden weight, rating (grade), jockey name, jockey number, trainer name, trainer number, owner name, owner number, race record, horse weight, finishing car, S1F ranking, Bukyeong G8F_Seoul Jeju 1C, Bukyeong G6F_Seoul Jeju 2C, Bukyeong G4F_Seoul Jeju 3C, Bukyeong G3F_Seoul Jeju 4C, Bukyeong G2F, G1F ranking, S1F record, 1C record, 2C record, 3C record, 4C record, Bukyeong 400, G3F record, Bukyeong G2F, G1F record, single win odds, consecutive win odds, winning order, jockey reduction, janggu details, burden weight application notation data.) ※ Additional explanation of summary words - F (FURLONG): 200m section - C (CORNER): Curved section - S1F: 200m section from the starting point - G1F: 200m section from the finishing point - G3F: 600m section from the finishing point