Match Odds – The Pre-Match Odds service offers everything you need to create and manage your own sports bets – from odds and odds creation to market monitoring and result confirmation.
Complete your betting offering with accurate and consistently confirmed matches for 890,000 events per year across 90+ sports. All markets are compiled and traded in-house by a dedicated team of experts who closely monitor price changes from almost all bookmakers worldwide. Then verified results are delivered quickly so you can adjust your bets straight away. This is how we guarantee the most accurate pre-match service in the industry.
Match Odds
By creating an event, we provide constantly confirmed and updated fixtures, kick-off times and background information on more than 90 sports around the world so you can create your own betting recommendations. The internal operations are joined by an established network of 8,300 independent data journalists and freelancers worldwide who help to improve the service and ensure the highest possible quality. For football alone, we offer more than 550 leagues and tournaments from all five continents.
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Odds offers match bets such as 1-X-2 and a large number of additional bet types including Total, Handicap, Correct Score, First Goalscorer and more. Hand traded odds for over 300 unique bet types are created and constantly updated by our experienced professional team, including all relevant match, goals, player, corner and book bets. Starting odds and odds for all events are presented along with our fixtures.
Trading Tools is a service that tracks odds and tee times for almost all bookmakers around the world. Most models allow you to follow more than seven million live updates every two minutes and more than 30,000 games for more than 50 sports.
With Trading Tools you get a real-time risk management and market monitoring tool with automatic alerts for betting offers. The additional American surveillance service aims to expand surveillance services to the growing US sports market.
The result contains quick and verified results and results on all recommended games and bet types. This service covers more than 110 countries and more than 4,400 competitions with more than 700,000 final results per year to arrange your bets directly. It includes basic results like halftime/fulltime as well as specific details like goal minutes, goal scorers, cards, etc.
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Compare results is a fully automatic function to compare your own results with the results database. Thanks to the automatic notification system, incorrect results are a thing of the past. The resulting service is available as an interface, email and XML feed for direct integration.
Player Markets allow your customers to bet on a wide range of performance-related markets across the world’s most exciting leagues and sports.
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American Leagues and Monitoring Services is the perfect complement to our existing US sports offering, bringing you comprehensive US collegiate sports coverage for American football, basketball, ice hockey and baseball.
To view real-time odds updates and select the bookmakers you want to compare. Slack Menu makes navigation fun and easy, saving you time and allowing you to focus on the areas that matter most. In the late 19th century, Russian-born Polish economist Ladislas Bortkiewicz developed a strategy for estimating deaths among Prussian soldiers. horse kick
And how did he do it? He implemented the poison distribution. It became a famous example along the way.
Sports betting is a global phenomenon and the industry is estimated to be worth between $700 and $1 trillion worldwide.
Football Odds & Football Betting » Betfair™ Sportsbook
It’s hard to believe that a simple mathematical equation – the Poisson distribution – is used to calculate the odds on a football match.
Betting on a team to win or lose is based on calculations that explain sports betting around the world.
If you’ve ever tried to gain a few pounds with your favorite team, you’ve seen these disturbing numbers in front of you.
Since Madrid are more likely to win, the odds against a win are only 1.40. A tie, which is more likely, has odds of 4.75.
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Simple In the example above, if you bet £1 on Real Madrid to win and the bet wins, you will receive a total return of £1.40 (including the £1 you originally wagered).
In this case you get £7 back for every pound you bet on Roma if they win.
“The Poisson distribution is the probability of the number of events occurring in an interval when the expected number of events is known and the events occur independently.”
Suppose you sit in a park for a few days and count the number of people who come to the park wearing black t-shirts.
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Using the Poisson distribution, you can estimate whether the number of people in black shirts coming to the park on any given day is 10, 11, etc.
If you can calculate the average offensive and defensive strengths of the teams in a game over a period of time and calculate the Poisson distribution, you can predict the differences in performance of one team versus another.
But if the data is too long, the data becomes inconsistent, and if it’s short, outsiders can intercept the data.
This means that not only external factors such as transport, accommodation and distance from Earth influence the conditions, but also the duration of the events enter into the calculation.
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Let’s use this method to predict the matches between Manchester United and Manchester City on February 26, 2017.
Before knowing the strength and weakness of a specific team, we need to find out the average strength and weakness of all teams in the last game season.
It can be calculated by dividing the total number of goals scored in a given season by the total number of games played in that particular season.
We also need average goals to understand weakness, which is simply the opposite of achieved goals.
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Now that we have the average strengths and weaknesses of the teams, let’s take a look at Manchester United and Manchester City stats in 2015.
Based on these statistics we can calculate the Poisson distribution for the teams playing in February 2017, where Manchester United is the away team and Manchester City is the home team.
It is calculated by dividing the number of home goals scored by the home team last season by the number of away games, i.e. 1.105 ( (21/19).
Take the number of goals conceded by the away team last season and divide by the number of games played away, which is 1.05 (20/19).
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Once we have the average of Manchester United and Manchester City goals, we can use it to calculate the Poisson distribution for the number of goals scored by a given team. (Possibility of different goals).
The odds of Manchester United and Manchester City scoring 1 goal each are 14.44% and 36.61%, respectively.
From the distribution table above, we can see that the probability of Manchester City not scoring is 4.73 and Manchester United is 33.28.
The odds decrease as the number of goals scored by a single team increases to 4 and 5 goals.
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Considering these numbers, Manchester City’s chances of winning are greater when the number of goals in a game is 0 or 1, but when Manchester United scores 2 goals, the chances of winning the game increase.
Using the distribution table and the possible number of these goals in a game, it is clear that a 1-1 draw has a higher probability of 5.28, followed by 4.43 for a 2-2 draw. But the possibility of a 1-0 or 2-1 win for Manchester City also looks good.
Based on the previous game at Old Trafford, Manchester United’s home ground, Manchester City won 2-1.
Without taking sides (I support the algorithm) I would bet on a 1-0 or 1-1 draw in favor of Manchester City.
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The disadvantage of using the Poisson equation is that it does not take into account external factors such as player/manager changes in the transfer window, the home factor and injured players.
But then Elio Feustel is a person who wins a million dollars betting using mathematical algorithms.
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