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Many of our most successful customers use predictive models as the basis for their betting strategies. Whilst the following tools are not custom built for your approach, they do allow you to automate your betting strategies. You just set up specific betting conditions and let the third party application do the work for you. Bet Angel and Gruss Betting Assistant are probably the most popular automation tools used by Australian customers. There are a lot of people who use data, models and automation to make a living out of professional betting.
Here are some of their stories, and some extra tools to help you develop your own strategy. Our automation team are here to support you in automating your betting strategies. Skip to content. Historic Betfair data There is a lot of historical price data available for all makrets offered on the Exchange, ranging from aggregate, market-level csv files to complete JSON recreations of API Stream data. This request does not contribute to usage quotas. See here for usage plans. See more info on outrights.
The following response headers are returned:. Lay odds are automatically included with h2h results for relevant bookmakers Betfair, Matchbook etc. More info on outrights. Valid values are unix and iso ISO Defaults to unix.
Valid values are decimal and american. Defaults to decimal. When set to american , small discrepancies might exist for some bookmakers due to rounding errors. Head to head moneyline odds are in the same order as teams. For 3 outcome sports, the 3rd item in the h2h list is the draw odd. Example For the first event in the above response, the odds for Unibet are Bournemouth: 2. For details on how this is constructed, see the release notes. Occasionally a bookmaker might disappear from the API response.
This can happen for a number of reasons, for example, their site might be down for maintenance or they may have changed their site. These situations are often short-lived.
When set to american , small discrepancies might exist for some bookmakers due to rounding errors. Head to head moneyline odds are in the same order as teams. For 3 outcome sports, the 3rd item in the h2h list is the draw odd. Example For the first event in the above response, the odds for Unibet are Bournemouth: 2. For details on how this is constructed, see the release notes.
Occasionally a bookmaker might disappear from the API response. This can happen for a number of reasons, for example, their site might be down for maintenance or they may have changed their site. These situations are often short-lived. Get started right away with code samples for Python and NodeJs. Code samples are also available on Github opens new window. Odds may be unavailable if the sport is not in season.
Odds may temporarily become unavailable if bookmakers stop listing games in between rounds. If no odds are returned, the request will not count against the usage quota. We continually add sports, bookmakers and features. Stay up to date by following us on Twitter opens new window.
Docs for version 4 can be found here Version 3 will continue to be maintained. Step 1 Get an API key via email. See plans. An example may be the Brownlow medal, or the EPL. Say you want to get all the upcoming events for Thoroughbreads for the next 24 hours. We will use the listEvents operation for this. First, as before, we define a market filter, and then using the betting method from our trading object which we defined earlier.
Say we want to know what market types a certain event is offering. To do this, we use the listMarketTypes operation. As this is a horse race we would expect that it would have Win and Place markets. If we want to know the various market names that there are for a particular event, as well as how much has been matched on each market, we want to request data from the listMarketCatalogue operation.
We must also specify the maximum number of results, and if we want additional data like the event data or runner data, we can also request that. For a more comprehensive understanding of the options for filters and what we can request, please have a look at the Sports API Visualiser. The options listed under market filter should be put into a filter, whilst the others should be arguments to the relevant operation function in betfairlightweight.
For example, if we want all the markets for Moonee Valley, we should use the following filters and arguments. We will need to define a function which processes the runner books and collates the data into a DataFrame. Now that we have the market book in an easy to read DataFrame, we can go ahead and start placing orders based on the market book.
Although it is a simple and probably not profitable strategy, in the next few sections we will be backing the favourite and adjusting our orders. To place an order we use the placeOrders operation. A handy component of placeOrders is that you can send your strategy along with the runner that you want to back, so it is extremely easy to analyse how your strategy performed later.
Note that if you are placing a limit order you must specify a price which is allowed by Betfair. For example, the price 6. You can read about tick points here. To get our current orders, we need to use the listCurrentOrders operation. We can then use either the bet id, the market id, or the bet strategy to filter our orders. To do this, we will use the cancelOrders operation.
If you pass in a market ID it will cancel all orders for that specific market ID, like you can do on the website. If we want to go back and look at past orders we have made, there are two main operations for this:. Note that we can also filter for certain dates, bet ids, event ids, selection ids etc.