Si14 Analytical Company -
www.analytics.si14.bet🌍 Successful examples:
- German Football Federation and La Liga Santander (Spain).
🟢 Working name of the company:
- "Si14 Analytics".
☑️ The tasks of the company "Si14 Analytics" are:
- To develop and implement innovative solutions in collecting, processing, and implementing soccer analytics data.
💫 Si14 Analytics:
- supplies products and services to national and international associations, leagues, clubs, and TV and media companies.
- Its work uses state-of-the-art methods to collect, analyze and distribute real-time match data.
- provides support in all areas of sports technology, including official services such as goal-line technology and centralized services for the use of video assistant (VAR).
- Is operationally responsible for the collection, storage, quality assurance, and distribution of official match data
- Maintains an official match database containing all historical data and offers unique analytics based on artificial intelligence to its clubs, licensees, partners, and customers.
- collaborates with industry leaders and universities to enable the development of innovative products through state-of-the-art data processing solutions.
⁉️ Reasons to distrust existing commercial companies:
1. Alexander Veryaskin (Sochi analyst): "InStat sold us online fitness, but it was useless. Two years ago, I asked to add the number of forwarding passes to the reports - the request was being processed for about a month. At the same time in the platform, it is still impossible to see a video clip of the shows ahead".
2. Evgeny Shevelev (CSKA analyst): "InStat's match analysis methodology hasn't changed much over the past eight years. I counted how much time I was wasting on checking the data and parsing it myself, and I decided I would do everything myself.
3. Sergey Titov (Krylya Sovetov analyst): "The company was growing, but usually the growth looked like this: we introduce a new function - get a lot of bugs - gradually bring the process back to normal. For instance, this was the case with xG - at first, some episodes had inadequate interpretations. Or Packing - points are taken off there for back passes. This is illogical.
4. "All Sports.ru speakers criticize InStat's pure statistics - top RPL clubs have been counting their matches for several years now."
Source: material from 25.08.22
https://m.sports.ru/tribuna/blogs/dorskiy/3071980.html?sl=1💬 Target Audience, Examples of Applications of Analytics in Modern Soccer:
1. coaches.
After losses to Brentford and Brighton, the MJ coach motivated the players for the game against Liverpool: Ten Hague posted statistics from his first two games at the training base.
Source:
https://m.sports.ru/tribuna/blogs/eilish/3072870.html?utm_source=facebook&utm_medium=eil&utm_campaign=2022-08-262 Players.
De Bruyne proved his usefulness to the club and signed an improved contract with Manchester City based on advanced analytics.
Source:
https://www.sports.ru/tribuna/blogs/alfimov/2915652.html3. Clubs
Clubs receive the requested analytics feeds based on their interests and contract terms. As a result, even lower division or regional league clubs who subscribe to only a small data set will be able to access crucial statistical information.
Example:
Before last year's purchases of Tsimikas, Alcantra, and Jota, Liverpool only had tracking data on the latter since he was already playing in the APL. Therefore, Liverpool had to contract with SkillCorner to get data on the first two players. After analyzing the data, all deals were agreed upon.
Source:
https://www.soccerscene.com.au/skillcorner-connecting-video-and-event-data-analytics-like-never-before/📊 Methods of using analytics at Liverpool FC and Brighton FC:
https://www.sports.ru/tribuna/blogs/allozdravstvuite/2852722.htmlhttps://m.sports.ru/tribuna/blogs/urbanhymns/2982901.html4. TV.
Leading leagues in the world use analytics product during TV broadcasts, media
Example:
https://www.youtube.com/watch?v=GfxId2kyTlw5. Follower.
Artificial intelligence collects, computes, and visualizes contextual data in real-time to help viewers better understand what is happening on the field.
Example:
https://www.youtube.com/watch?v=fngE-grN5P8 6. Match commentator.
An online machine learning-based platform can be used by commentators both during the preparation for and during the match. For example, inform the commentator about exciting facts on the field - the fastest defender, the most pressing player, etc.
Each client can choose whether to receive the data via push or pull delivery.
https://youtu.be/WfOiWGxqfcA Si14 Analytics will seek to respond flexibly to market demand and create suitable new products to expand further the range of services for Russian soccer clubs and fans.
Learn more about the project:
🔸Website:
https://si14bet.io 🔸Si14 betting exchange:
https://si14.bet 🔸Si14 IPO:
https://si-14.com 🔸Telegram:
https://t.me/si14betinvest🔸 Instagram:
https://lnkd.in/dQG_mg8🔸Facebook:
https://lnkd.in/daNiv4j🔸 Mail:
[email protected]