2016 connect events sport analytics

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1 A New Era of Thinking © 2016 IBM Corporation IBM GBS Analytical Solution Sports 2016 Nitay Alon, Matan Mashiah, GBS Analytics Team IBM BusinessConnect A new era of thinking

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Page 1: 2016 Connect Events Sport Analytics

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A New Era of Thinking

© 2016 IBM Corporation

IBM GBS Analytical Solution

Sports 2016Nitay Alon, Matan Mashiah, GBS Analytics Team

IBM BusinessConnectA new era of thinking

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Nitay Alon - Chief Data Scientist

Matan Mashiah - Big Data Specialist & Business Analyst

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Motivation for Sport Analytics

The Match: Real Madrid vs. Man. CityChampions League semi final 2nd leg

The Problem: Karim Benzema’s injury, can he play in the match?

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Play?No

YesInjured?

Yes

NoReplacement?

Jese Vazquez

Jese Vazquez

The Decision Tree

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The Problem – 𝑇𝑀𝐷$ (Too Much Data, Too Many Decisions)

Variables to consider

The Value of the player The cost of injury

Replacement?The Value Of replacement

Other…

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Performance, Measured in every match

Making tough decisions

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Our Solution

Improving The Team’s Asset Management

•Team performance acceleration (players performance, squad formation, competitive advantages)

•Injury mitigation and reduction of idle time

•Hidden assets discovery (i.e. discovering great players that until now were under-rated, by using advanced clustering algorithms and finding similar players)

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Holistic View

Acquisitions

Formation

Injuries

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Our Solution

HolisticSolution

Injury Mitigation

TeamPerformance

HiddenAssets

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Our Solution

Data Source: Structured/Unstructured, Internal/External

Analytical Layer: Supervised and Unsupervised, Text analytics

Insights:Real time Analytics

Advanced competitive intelligence

Team Formation Analytics

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Data SourcesWearable Devices

Historical Match data

Video Analytics

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Data Sources

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Watson Crawler:Crawl on websites in order to extract relevant unstructured information and get insights from it:-Players status-Potential squads

From Unstructured data To insights

Advanced Competitive Intelligence

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Advanced Competitive Intelligence

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Team Formation Analytics

Team Formation:Use clustering algorithms in order to prioritize possible team formations as a response to the rival’s formation.

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Find similar players using Unsupervised algorithms:

Team Formation Analytics

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Find similar players using Unsupervised algorithms:

Team Formation Analytics

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Team Formation Analytics

We’ve posted some of our insights on the web…

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Team Formation Analytics

And got positive feedbacks!

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Visualizing the data – the cognitive way!

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Visualizing the data – the cognitive way!

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Our Vision

“Cognitive Couch Assistance”

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Our Vision

Other Sports

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Thank you for your time!Nitay Alon Matan [email protected] [email protected]