NBA betting data analysis |
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The NBA season is near to its end and we have less than a month until the last match from the regular season to be played. All of the played matches so far have given me the opportunity to check out many betting theories and of course some of them were interesting and profitable, some weren't. At least for me it is clear what I am going to bet in the next NBA season and honestly I can't wait for the season to start. My main betting idea is related to the results of the last 6 matches played by both teams in a match. I am going to try it with kazino online. I will do it in two types of bets - under over total points scored by both teams and winning margin in the match. How exactly I will collect the betting data? Here comes the tricky part, but I hope I can explain it properly. It is clear that after every match I am going to record the results of both teams. From the results table I will use the last 6 home games played by the host and the last 6 meetings as a guest for the visiting team. I will compare the number of points scored and received by the host of each match with the average number of points scored and allowed of the last 6 games of their opponents. Thus I will have a better idea of the team's shape. If the team has scored more points than the average allowed by its opponent than it is in a better shape and vice versa. I am going to do it six times for each of the matches played by the host and the guest. Because of the gap I will receive a betting coefficient that indicates what the shape of both teams is, compared to the shape of its opponents. Finally, I will summarize the number of scored points in the last six games for each team and I will multiply the betting data to the shape ratio. When I am ready with this I will have a real guess which of the two teams in what form is and how many points are most likely both teams to score. I will compare the result with the proposed by the bookmaker odds and where I find a potential for profit (usually use 7% margin) I will bet. Home page |
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