GBT Tokenize Corp. Completed Phase One of its Intelligent Soccer Games Analytics and Score Prediction Platform
GBT Technologies Inc. (OTC PINK: GTCH) announced the successful completion of phase one of its intelligent soccer analytics platform through its joint venture, GBT Tokenize Corp. (GTC). The project, named smartGOAL, utilizes AI technology to analyze and predict soccer game results using advanced statistical methods and machine learning. The program aims to uncover patterns in the game to enhance prediction accuracy. However, the company highlighted the need for adequate capital and strategic partnerships for further development and implementation.
- Completion of phase one of the smartGOAL project aimed at improving soccer game result predictions using AI technology.
- Utilization of advanced statistical methods and machine learning to enhance analytical capabilities.
- The company faces uncertainty regarding the successful development and implementation of the smartGOAL system.
- A need for adequate capital and strategic partnerships to progress further in the project.
SAN DIEGO, June 27, 2022 (GLOBE NEWSWIRE) -- GBT Tokenize Corp. (“GTC”), a joint venture that is
The smartGOAL program is an intelligent, automatic analytics and prediction system for soccer game’s results. The program analyzes and predicts possible outcomes of soccer games results according to permutations, statistics, historical data, using advanced mathematical methods and machine learning technology. The program downloads ratios and forecasted soccer games results from expert websites including probabilities, estimations and statistics, taking into account heuristic-based assumptions in order to analyze and predict soccer game’s outcomes. smartGOAL program is aimed for soccer game’s results cognitive study, analysis, applying deep learning algorithms, big data models and mathematical techniques. Heuristic algorithms work with betting lines as they represent market price for each result and in a sense provide a “crowd wisdom”, analyzing the data like an expert human would do. The program maximizes results using hybrid strategies of integration, Monte-Carlo simulation and regression-based errors correction. smartGOAL seeks to optimize results for certain level of variation, according to operator choice, maintaining historical data with their analytics. Machine learning-driven predictions data is produced based on historical information, ongoing public league team’s data and advanced mathematical models analysis. GTC plans to further implement GBT’s AI technology into this domain enabling intelligent solutions in the sport sector.
“Considering the popularity of the game in the present world, we believe organizations will be interested in in prediction systems for the better performance of their teams. As interesting as it may seem, prediction of the results of a soccer game is a very hard task and involves a large amount of uncertainty. However, it can be said that the result of football is not a completely random event, and hence, we believe a few hidden patterns in the game can be utilized to potentially predict the outcome. Based on the studies of numerous researchers that is being reviewed in our study as well as of those done in the previous years, one can say that with a sufficient amount of data an accurate prediction system can be built using various machine learning algorithms. While each algorithm has its advantages and disadvantages, a hybrid system that consists of more than one algorithm can be made with the goal of increasing the efficiency of the system as a whole. There also is a need for a comprehensive dataset through which better results can be obtained. Experts can work more toward gathering data related to different leagues and championships across the globe which may help in better understanding of the prediction system. Moreover, the distinctive characteristics of a soccer player, as well as that of the team, can also be taken into consideration while predicting as this may produce a better result as compared to when all the players in a game are treated to be having an equal effect on the game. The more information the system is trained with, we believe the more accurate the predictions and analysis will be. One of our joint venture companies, GTC aimed to evaluate machine learning-driven applications in various fields, among them are entertainment, media and sports. We believe smartGOAL is an intelligent application that has the ability to change the world’s soccer field when it comes to analytics and game score predictions,” provided Danny Rittman, the Company’s CTO.
There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval as needed, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
About Us
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain statements contained in this press release may constitute "forward-looking statements". Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website ( http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company's views as of any date subsequent to the date of the press release.
Contact:
Dr. Danny Rittman, CTO
press@gopherprotocol.com
FAQ
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