Suggestion

Any ideas to improve the software

Suggestion

Postby Deyu » Sat Apr 17, 2010 6:53 am

Alex, in the future, can you improve OW with informations about missing players from teams? This will help us a lot and the odds to be calculated on this informations too. Do you understand what i say?
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Re: Suggestion

Postby Alex » Thu Apr 22, 2010 2:24 pm

Of course, suspensions, injuries, motivation, and other human factors are very important in computing odds. I understand that, and all such info will be taken into account in the future versions. Thank you for suggestion.
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Re: Suggestion

Postby jazzfish » Sun Apr 25, 2010 4:38 am

Hi Alex,

This sounds like a potentially exciting development which could transform the performance of OW. However, it would require a huge amount of resource as data relating to injuries, morale etc is not available in an analysable format (as far as I am aware). Where do you propose to mine this information from?

Kind regards

JF
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Re: Suggestion

Postby groggy » Fri Apr 30, 2010 3:30 pm

I agree with jazzfish, it was a good question and as a customer i am waiting a convincing answer from Alex, because he always says we can add this kind of features in the next version. But we are waiting for the new version and spring will come to and end after one month. i look forward to hear the answer by the way.

Thanks.
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Re: Suggestion

Postby Alex » Fri Apr 30, 2010 4:33 pm

Each addition and improvement in the program is a result of hard work of many involved specialists. Over the past years, expectations of the customers and users were not wrong since we had added many revolutionary features such as live odds supports, new algorithm of 2007, implementation of the theorem for optimal bankroll distribution, support of computing tennis odds, etc. Is there some other program that can do the same? So please be patient. Keep in mind also that even though we follow certain development plan, there is no a priori 100% guarantee that every item is feasible in it. Nevertheless, the program absorbs the best possible innovations at the edge of statistical science.
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