The Role of Data Analytics in Soccer Prediction: How to Make Better Bets

Data Analytics in Soccer Prediction

Soccer betting involves a lot of research. It is one of the oldest games around and over the years, a lot of data has been collected. All this data can make sense to betting only when a system to analyze it is in place. Every small to big move is recorded for the database and decisions like player transfers, the intensity of training and even the direction of a yielding kick are taken based on data analytics findings. Thus, the outcome of data analytics has left a positive impact on the quality of bets. Let’s take a look at the ways data analytics help make better soccer predictions.

Collecting GPS information of player moves and finding favorite points

GPS info collection of players

Several prop bets can become possible to win when the data analytics help find the in-field movement pattern of the players. The facts about body language, kick direction, going for penalty corner and other crucial highlights of the match lay the ground for certain bets and help the bettors guess the upcoming event. The GPS information has become so crucial that certain teams made their players wear the vest that could capture this and provide information to researchers.

Information about the field conditions

field conditions info

The data analytics experts curate the information about the field conditions. They yield information regarding the field conditions using which the expectancy of the goals and pattern in the goal posting is found. The statistics like goal expectancy help significantly in guessing the total goals likely to be scored. A deeper performance analysis of the team done using the data collected allows to have a clear idea of the strength of a team and their response pattern to the field conditions. The marking of heat areas of the field help to find the outcome of various in-play bets.

Analysis of a player’s performance

Analysis of a player’s performance

Data analytics go deeper than simply giving the number of goals scored by a player. It tells about the assists, possession rate, dribbling efficiency, etc. as well. All these statistics talk about the real potential of a player. The period between two goals yields some data that talks about the character and attitude of a player during the match. The data analytics paint a clearer picture of the player performance and can be used to find outcome of bets like next player to post a goal, or next team to score a goal, both teams to score or not, etc.

Using spatial analysis for optimizing set-piece

spatial analysis for optimizing set-piece

The spatial analysis is used for finding the best approach for a set-piece. Whether the in-swinging or out-swinging corners will help get the desired results is found out with the help of spatial analysis. A sizeable number of tipsters take help of spatial analysis to find the probability of corners and free kicks. It can help guess the correct score and various prop bets for which the conditions become ripe during the play.

Recruitment of player into the squad

Recruitment of player into the squad

Player’s recruitment into the squad is determined by several factors. The emphasis is on having the player with the best skill-set but low market value. It allows the team management to have a team within a small budget and helps them ensure that the team is capable of taking on the stronger, richer teams. The data analytics tell the features one looks for in the player to be inducted into the team. The recruiters analyze the player performance on various parameters and try to find the technical finesse to make a decision. It leads to determining the strength of the company and helps guessing the match outcome.

Generation of winning odds

Generation of winning odds

The data analytics is used to find the player statistics, teams’ strengths and weaknesses and the technical superiority it displays at the turf. Findings from the analytics help understand if the team won just due to a goal by chance at the last minute or if the result was due to the solid performance displayed. It allows the bettors to find the value bets from the collection of odds available. They can make the winning odds on their end and then pick the bookie that has similar thing to say about the possibility. Thus, predicting a winner becomes easier with the help of data analytics as the chances of making a mistake are minimized with accurate findings.

Preventing injury

Preventing injury

The use of data analytics is helping the soccer team managers at various levels. One very important aspect is injury prevention. The analysis of data on the movement of players and the extent of exertion helps find the players who are at the risk of getting injured. Thus, how much and when the rest is to be given, to whom the rest is to be given are some of the decisions the trainers make. All these insider news pieces help predicting the soccer match’s outcome. With the help of data analytics, the injury news quality is improved and the reports are made more reliable. Thus, the bettors can make good-quality predictions and remove risk from the betting process to some extent.

Effective strategy formulation

The data analytics helps make more informed decisions on player recruitment, gameplay strategy and scoring pattern. Using analytics, the crucial factors about the opponent’s approach to the game are ascertained. It helps the sides to adopt a more convincing gameplay strategy and be more precise in the game. Thus, several weak and strong points about the strategy are available to the bettor even before the start of the game. It helps the bettors predict who will emerge stronger in the field. Thus, the quality of betting style can improve consequently.

To conclude, Data analytics is an important tool for the people involved in soccer. The tipsters and soccer predictions experts at are advanced in their approach of research owing to their knowledge of data analytics. They use analytics to predict the outcome of the game and give correct tips. Better understanding of the game and more precise predictions emerge from the use of data analytics in soccer and this improves the winning ra