About Us

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futbolanalitik.net is a web application that analyzes the results of football matches using artificial learning and artificial intelligence algorithms and provides very good tips and information at a valid level.

Real data is used when analyzing and calculating data.
All data presented to users on the website/Application is interpreted by artificial learning and artificial intelligence algorithms within many parameters.
Mainly starting from the latest season towards previous seasons with a gradually lower validity coefficient, the data of the clubs are uploaded to the system and processed by artificial learning algorithms. The data with the highest validity coefficient is the club's current season data.
For any football team, the data uploaded to the system and processed by artificial learning algorithms creates the character of that team. In this way, a character of all football teams is created.
After that, artificial intelligence algorithms come into play and compare two teams with certain characteristics. It creates weighted probability percentages by evaluating the outcome if these two teams meet.
All values in the modules/pages on the website/Application are calculated in this way.

The parameters needed and used by artificial learning and artificial intelligence algorithms in calculations for the results of football matches are as follows.

General win, draw and loss situation of the teams.
General goals scored and conceded by the teams, and their averages.
General first and second half performances of the teams.
Minutes in which teams generally score goals most frequently.
Yellow and red cards that teams generally see.
General hit and miss shot performances of the teams.
The frequency of teams being caught offside in general.
Frequency of teams taking corner kicks in general.
The overall ball possession percentages of the teams.
Win, draw and loss of the teams at home and away.
Goals scored, conceded and averages of the teams at home and away.
First half and second half performances of the teams at home and away.
Minutes in which teams most frequently score goals at home and away.
Yellow and red cards seen by teams in home and away fields.
Accurate and inaccurate shooting performances of teams in home and away fields.
Frequency of teams being caught offside in home and away fields.
Frequency of teams taking corners in home and away fields.
Percentages of team possession of the ball in home and away fields.
Current injured/suspended/out-of-squad player situations of teams.
The weather conditions at the time of the match.
The ground condition of the stadium where the match will be played.
My teams current transfers.
Player points are calculated for football players, taking into account the overall league.
While calculating player points, the player's current value ($) and his/her success during the season (contribution to the team, goals and assists scored, cards seen, time spent in the game, distance traveled during the game, accurate passes, ball losses, accurate and inaccurate shots) are used.
Average of top 11 based on player scores.
Even if the multiplier coefficient is small Average of reserve squad points based on player scores.
Comparison of teams' general mutual game culture analysis scores.
While calculating the game culture analysis scores of the teams, data such as the team's strengths, weaknesses, offensive and defensive football understanding, total goal average are used.