Football Online Analysis and Prediction
Get more familiarized with the terms used and the automatic process that we use to generate predictions.
Go to predictions
This is an internal metric to track how often this scenario came up before in our model. If a team has been in a certain situation lots of times with the same outcome, then we can confidently say it's going to do the same (high confidence). If it only came up once, the prediction is going to have low confidence.
Return of Investment. This the benefit resulting from investing in a resource. For us, this is calculated like our prediction accuracy - betting odds . This is basically your profit in the long run (assuming LLN) as a percentage of your investment.
The percentage of correct predictions.
Learn how to use prediction advantages for your betting needs
Example of using ROI: Say you bet 1 coin on an event that we say we can predict accurately 75% of the time. Your betting agency tells you that the odds of winning are 50%. This means that you win 2 coins. If this happens 20 times, you're going to win 15 times (75%) and lose 5 times. This means you have 15 * 2 - 5 * 1 = 25 coins. Your initial investment is 20 coins, so your profit is 5 (25%) . This is exactly your ROI (75% - 50% = 25%).
Example of using History: First of all, it's important to note that the algorithm is subject to change. This means that accuracy may vary from week to week. For that reason, I felt it was important to have a clear history of the predictions, focusing on the latest fixtures. If you want to bet on a league, check the latest two weeks, for each confidence level. Get a feel of how well predictions is holing up. Normally, I'm expecting accuracy to be constantly above 60%.
Example of using Betting notation: This site uses standard betting 1X2 betting notation:
