Should they have completed that gate?

“Thanks to the power of Microsoft Azure, we have been able to improve our fan experience by combining this model to calculate the probability of a goal, which helps us to interpret and enjoy the game. Something we develop from this: the Bound Status Project , through the web portal and Microsoft Graphics Miguel Angel Lille.

“Microsoft’s machine learning and artificial intelligence technology

It facilitates the development of target probability statistics by analyzing historical data to track more than 20,000 hits from approximately 2,000 games. The capabilities of this technology allowed Laliga to go one step further by combining the matrix with these advanced features in its audiovisual 스포츠중계.

Rebecca Marcel, CEO of Microsoft Corporation in Spain says:

Laliga and Microsoft are analyzing the possibility of targeting these students.

Criteria based on a mathematical model to determine how all these variables affect the fact that a goal is scored. During the game, players’ location data is retrieved in real time thanks to 16 optical surveillance cameras installed in each competing stadium. Based on this data, each parameter is calculated and a model is run to achieve the target probability.

The stated measurement is based on several variables depending on the cone type,

Emphasizing the position of the opposing team’s players from the player’s point of view, which determines the level of difficulty and thus the probability of termination? Factors such as the distance from the ball to the goalkeeper and the distance and angle of the goal or nearest opponent are also taken into account. The lower the last number on the screen for the odds of scoring in the actual goal, the more effective the shot in the part expected of the player.

The model returns a probability between 0% and 100%.

Giving the spectator a glimpse into the high odds or impossible goals of the best players. In the case of La Liga, this statistic takes into account the effectiveness of a particular player’s points. For example, in the old model with a score of 2%, only 1 attempt in 50 ends with a chance of a goal. In the La Liga model, which specifically takes players’ statistics into account, this figure is higher for high-tech players, which is very accurate.

This is achieved by the player’s performance ratio, which is calculated from the ratio between the number of goals scored in the game and the number of goals scored by the player involved in the action. For example: Enema seems to have set the maximum efficiency level to achieve the results of this indicator, so that the objective data on the probability that the target has reached 23.1% of its “player effect” has increased to 14.1%. a player stat included in one of the examples.

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