Use Algorithms to Increase
Your Profit with Sports Betting

Making money with sports betting is not easy at all - often money is lost due to emotion-driven action.
On SportsBettingQuant we promote a different approach which makes use of algorithms for sports betting. This allows to fully test betting and trading strategies on historical data and automate everything with betting and trading bots.

Betting Strategies - Tested on Historical Data

We want to become the largest database of publicly discussed betting and trading strategies that are solely based on algorithms.

Horse Racing

Back the Newcomer in Horse Racing

I came across this strategy when reverse engineering Betfair starting price bets. It came to my attention that certain horses had very similar patterns in terms of starting price bets. After further investigation I discovered that these were horses that have not participated in any race previously. With this I defined a very simple betting strategy for a backtest: Back bet on horses making their debut using the Betfair Starting Price (BSP).

comment 3 Comments

See all Details


Lay the Draw in Football

Lay the draw is probably the most popular trading strategy for inplay football betting markets. Some readers reported having some success when applying this strategy in the past. Based on this, we conducted a more systematic backtest to see if this popular approach is still profitable.

See all Details

Horse Racing

Lay Bets in the Range of 1.01 - 1.07 in Horse Racing Markets

After observing a couple of UK / IRE horse racing markets on Betfair, we noticed that shortly after the creation of the market lay bets were placed in the range between 1.01 and 1.07.

See all Details

View All Strategies

Recent Comments

Join our community and comment!

Improve Your Data Analysis, Data Science and Programming Skills


Are You Losing Money with Sports Betting?

On SportsBettingQuant you find valuable information about using algorithms as fundamental part of betting & trading strategies. Our approach is to backtest strategies on historical data and deploy fully automated betting and trading bots.

Read more about Data-driven Betting

Join our Sports Betting Community

Join our community, share your knowledge and build up your reputation which will allow you to offer your services to other community members and earn some extra money.

Sign Up now!



Python for Sports Betting

In this article I would like to describe why the Python programming language is a great choice for sports betting and trading applications and give some examples of what you can do with it.

Using the Kelly Criterion for Betting

The Kelly Criterion can be a helpful formula to determine how much you should bet on a certain outcome as an alternative to flat or proportional staking. The Kelly bet can be easily implemented in spreadsheet software, Python or other programming language. A simple simulation comparing the Kelly criterion with other staking methods will provide evidence that the Kelly criterion is superior.

Software and Tools to Build Betting Strategies

When you want to develop your own betting strategy based on historical data you need special software and tools that help you to source, process and analyse data. This blog post focuses on betting specific tools as well as general purpose analytics software that can be used in the domain of sports betting.

15 Betting Strategies

86 Users

18 Articles

Sports Betting and Trading as a Data Scientist

As a data scientist you might be interested in earning some extra money using your data analysis and machine learning skills. Sports betting and trading can be an...

Become an Investor in Sports Betting

Sports betting and trading can provide an attractive possibility to investors as an alternative asset class. In most cases, strategies in sports betting markets are uncorrelated with traditional...