Analytics in Mixed Martial Arts

Analytics in Mixed Martial Arts

Analytics in sports is now a known thing we all know sports like Baseball, Basketball, Ice Hockey, Football now even Cricket is introduced to analytics. Moneyball: The Art of Winning an Unfair Game is a book by Michael Lewis, published in 2003, about the Oakland Athletics baseball team and its general manager Billy Beane. Its focus is the team’s analytical, evidence-based, saber metric approach to assembling a competitive baseball team, despite Oakland’s disadvantaged revenue situation.

Now here I am talking about a sport which is brutal in nature a sport which is criticized for its rules. I am talking about young sports called “MIXED MARTIAL ARTS”.

I am Roshan Suvarna a student of analytical studies , Karate Black belt and State Level Gold medalist in MMA will introduce you to the level of statistics which is used in MMA fights and challenges faced by statisticians and analyst to implement their analysis.

Let me put lights on what is Mixed Martial Arts(MMA), it is a full contact fight tournament which allows both striking and grappling, both standing and on the ground, using techniques from other combat sports and martial arts. There are many MMA tournaments which are running around the globe and making tons of money like the most Famous UFC, in India, it was SFL and also some more MMA tournaments which I know in India is Budolin Fighters League, X-9 MMA Fights.

Analytics in MMA is the new baby, the sports enthusiast and fans want to know how and in what terms their favorite fighter won?, fighters want to know who he may face in his match? Organizing committee wants to know which fighter is in form and how much money he will make to a league? Judges making the correct decision? All these questions arise if you are interested in MMA analytics. In MMA how analytics work is there is a metric called Fight Metric where all MMA statistics are placed and remember it is reviewed only after judges decided that means Judge’s decision is not affected by this metrics, But we can review judges decision-making skills from this metrics. Below is the figure of one the fights.



Metric Explained:


Some more figures:




How these metrics help fighters? Players can analyze along with their coaches how the opponent fights and data are for all rounds so how opponent react in different rounds. By looking at this metrics fighter can set his game plan and act upon it.

Now let’s come to some challenges which analyst is facing while implementing analytics in MMA:

  1. Not much data available, MMA is just 23-year-old sport its sample data is like population. It was easy for Billy Beane to introduce analytics in Baseball because he had already 100 years of data with him, but this is not in a case of MMA.
  2. A rule of MMA makes it too tough to implement analytics. Like if I want to know whether Fighter  made an impact in fight result with a throw but it is not easy to analyze this impact because as a wrestler may be Fighter A will think he made an impact but as per rule and judges different martial arts background do not think that the throw was accurate enough to impact the fight decision. There is no uniformity in MMA rules.
  3. Fighters different Martial arts background make it difficult to analyze like if a fighter is specialized in Jiu Jitsu then he may be good in grappling and on the floor but his stats will show that he is poor in throwing punches and kicks that don’t mean he is a bad fighter.
  4. There are suggestions that to use sensors in gloves but it will make the same thing data will be collected only of that fighter who is punching more.

MMA Fights is a Billion dollar business and analytics in MMA is spreading wide and making an impact in fights and business. Indian leagues are also implementing analytics which gives them a professional touch.

This is all about MMA analytics and MMA lover like me love to see the data and its impacts in fights.

Thank you very much for reading this blog. Hope you guys liked it.

Namaste _/\_




Certification in Big Data and Data Science

There are hell lot of Certifications in market for data science and Big data…Just type certification in data science and big data in Google guru ,here you go a big list of online offline cert…

Source: Certification in Big Data and Data Science

Certification in Big Data and Data Science

There are hell lot of Certifications in market for data science and Big data…Just type certification in data science and big data in Google guru ,here you go a big list of online offline certification courses in front of you.

After looking at this list our situation become like a … yes you guys are right!! its like a man in middle of ocean like this man who is trapped in middle of ocean who will search a way for survival and find a way for a destiny which is a land, in the same way we try to sort or classify the information from this list.

I am Roshan Suvarna a student of analytical studies and a SAP Consultant by profession is here to write a blog on Certification on Data science and Big data.There are lots of  Degree,Diplomas and certification for Big data and Data science around the globe.But first i will talk about the Certification which i did and i will tell you my experience with the training and the certification  exams.

I am talking about two Data Science certification which is provided Dell EMC,we all know about this american giant company.Well those of you who don’t know about this company Dell EMC major business is to sell data storageinformation securityvirtualization, analytics, cloud computing and other products and services that enable businesses to store, manage, protect, and analyze data.

Now lets come talk about the certifications:

Below details is provided as per the information in Dell EMC official Website

1.Data Science Associate (EMCDSA) 

Certification Overview :

This certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills required by a Data Scientist.

Certification Requirements :

To complete the requirements for this certification you must:

Pass the following Associate level exam:

E20-007 Data Science and Big Data Analytics Exam

This certification will qualify towards the Specialist level certification in the EMC Proven Professional Data Scientist (EMCDS) track including the following: EMC Data Scientist, Advanced Analytics Specialist.

My Take on Data Science Associate (EMCDSA) :

I attended the Video ILT – stream course which you can say a self pace course.This is a recorded video of a actual classroom session which took place in EMC classroom(not sure about classroom though :P).This course is divided in modules so this helps us to keep track which module we completed.The best part i liked in this video is it is a actual Class room session so we can see and hear the interaction between faculty and students which allow us to explore more about the topics.

Now the main concern is i am  paying money for Video ILT then how will i practice???

Don’t worry guys Dell EMC providing you with Lab access and infact module also contains Lab practises so that you can get your hand dirty.

Remember nobody will baby feed you so you need to practise 🙂

There are also Instructor led classroom session.You can approach Dell EMC via there website:””.

Lets talk about exams in PDF link below it is mentioned that from which topic how many percentage of questions will come.There also practise test which is made available to student so that he or she can evaluate themselves before the certification exams.And as per my experience exam was a bit competitive.

I will not talk about cost of  the certification because it vary country to country and also not about its market value because still i am a student and i need to evaluate this certification worth during my interviews 🙂

PDF link:Data Science Associate (EMCDSA)

2.Data Scientist, Advanced Analytics Specialist Version 1.0 (EMCDS)

Certification Overview 

This certification is designed to build on the skills developed in the Associate level course in Data Science (Data Science & Big Data Analytics) and help aspiring Data Scientists continue to evolve and expand their skill sets. The main growth areas include advanced analytical methods, Hadoop (and Pig, Hive, HBase), Social Network Analysis, Natural Language Processing, and Visualization methods. The development of these skills and the use of these methods provide the data scientist the ability to identify and communicate conclusions and recommendations in order to solve business challenges across many domains.

Certification Requirements

To complete the requirements for this certification you must:

1. Achieve the following Associate level certification: Data Science Associate (EMCDSA)

2. Pass the following Specialist exam on or after May 1, 2015:

E20-065 Advanced Analytics Specialist Exam for Data Scientists.

My Take on Data Scientist, Advanced Analytics Specialist Version 1.0 (EMCDS)

It is Advance version of associate level certification focusing majorly on big data technologies.This course also i attended in Video-ILT format so all the reviews will remain same like the associate level certification.

I will attend this exam in coming december 2016 lets hope for the best 🙂 and i will keep you posted about my exam experience.

PDF Link :Data Scientist, Advanced Analytics Specialist Version 1.0 (EMCDS)

Exams procedure:

1) You need to first schedule your exam as per you convenience,you will get all this info. under “Myaccount”.You have to select the center and print the hall ticket once you schedule the exams.

2) you are not allowed to take your Cell phones not even your handkerchief with you 😛 yes you read it right not even handkerchief inside the examination center.So if the exam is not going good for you so you better not cry remember there is no handkerchief for you.

3) Govt. ID proof is compulsory and cancellation of exam once schedule is not possible,if you still want to cancel then it will cost you some bucks more.My suggestion better not to cancel it ,only in case of emergency cancel it.

4) You will get the mark sheet on the spot once you press end exam button.Passing mark is 60.

5) Once you passed you will soft copy of certificate which you can see under certificate tracker.You will also receive Dell EMC logo as a Dell EMC Proven professional which you can show off in your resume 🙂

Well this is all about Dell EMC certification for Data Science which i know.You have any more details about this or you want to know more about the certification you can contact me any time .

PS: Dell EMC is not paying anything to me for promoting their product 😛

Suggestion & Advice is always Welcome :).If you like this Blog press a like,Comment 🙂

Namaste _/\_