Analisi Racing

1. Finally there is a light at the end of the Tunnel
Dream Chasers Presents

2. A hairsplitting study of thoroughbred racing in India
This is an automated presentation, press “up” or “down” key if you are in a hurry

3. Mission Statement
• Making Racing an Exciting Experience
• Wealth Creation for all stake holders
• Promoting Horse Racing as an Investment Option
– Without much information wagering of money on an event with an
uncertain outcome is called “Gambling”
– With Scientifically analyzed information wagering of money on an
event with an uncertain outcome is called “Investment”
The Team
• Members from the winning team of the highest possible
technology award in India
• Gold Medalist in all India Software Programming
competition
• Gold medalist from IIM
• NSG Commando
• Achievers in their respective fields

4. Market Summary
• Racing Industry existed 600 years before Christ – (Reference in “The
Richest Man in Babylon”)
• More than a century old Industry in India - Introduced by the British
• More than 3000 horses in training
• More than 4000 mares in breeding
• 85+ breeding establishments & 9 Racing Centers
• 200+ racing days & 1600+ races in a year
• Multi-Billion INR Industry
• A Royal Sport with lot of feel of achievement and
excitement for all involved

5. Business Concept
• Analisi is a Horse Race Prediction System
– Analysis through the use of a structured
frame work
– Power of Analytics
– Highly Dynamic & Based on Artificial
Intelligence
– Inbuilt Feed-Forward Mechanism
– Based on measurable parameters
– More than 7,000 races and 60,000
runners analyzed

6. Business Concept
• Divided into Four Parts
1. Data Collection
• 150+ direct data points & 3000+ indirect data points
2. Preprocessing
• Converting the various data to useful information
3. Machine Learning & Predication
• Supervised Learning & Unsupervised Learning
– Neural Networks
– Classification
– Logic – Automated Reasoning
– Decision Tree & Regression
4. Action for Investment
• Need to observe the race time developments

7. Analisi – Data Collection 1
Class
Basic details
Distance
All common parameters for a particular Race is captured
through this user interface

8. Analisi – Data Collection 2
Draw Number &
Equipments
Dam & Sire,
its all in the
blood
Owner, avoid
Track works,
gambling owners Indication for
Foal Date, fitness of the
Astrology? horse
Numerology? Runners
Trainer & Jockey,
better jockeys
get good mounts
Track
Preparations,
indication to
Trainer habits
All specific parameters for the particular Horse is captured through this user
interface, this is done prior to the race

9. Analisi – Data Collection 3
Horses in
finished order Presently these info
not available. Hope
Odds at various clubs will do
stage something about this.
Final position
& timing
Various trip issues
Steward’s view
about the running
Pace of the Race
of the horse
a major contributor
for the final time.
Pole position, clear
indication for running style
Was it a
& trainer instructions
genuine effort
or preparation?
What Happened during the race ? - Even very minute details of all the runners
are made available to Analisi through this user interface, this is done after the Race
with the help of video

10. Analisi – Data Collection 4
TV (Track Variant) per race basis. Multiple
factors affect the final time of the race, like
1. Underfoot conditions
2. Wind direction during the race
3. Humidity
4. Caliber of the jockey
5. Pace of the Race
6. Weight carried – (Studies shows not much importance)
TV helps to bring all race time to same
platform for comparison. Studies shows that
generalizing TV for a day is not suited for
Indian turf conditions.
Track Variant for all the races are calculated and adjusted with final time
using this interface. This is an automated process with some human touch

11. Analisi - Preprocess
• Captain’s Rating
– Similar to Bayer’s rating for international viewers
– Optimized for Indian Turf and Indian race practices
– “Par Time” and “Machine like” reference horses method
– Predicative method
• Predicated rating for every race
• Horses with rating close to the predicated rating are
contenders
Captain’s Rating doesn't rely on miracles

12. Analisi – Preprocess
• Various Factors : Using Analytics Technology to
unearth more and more Winning Patterns
– On Job Factor
• Whether a particular Horse will be on job or not
– Jockey Factor
• Based on jockey’s present form, business & personal
relationship with Trainer and Owner
– Odds Factor
• India have most strike rate for favorite winning, it also
represent majority’s opinion
– Trainer, Pedigree, Distance, Track, Class & Form
Factors
• Based on multiples of proven theories

13. Preprocess – Example (Trainer Factor)
This is based on Game Theory: Very useful mathematical model for
conflict situations like trainers strategy in running his horses. Please
refer to link below for more details.
http://en.wikipedia.org/wiki/Game_theory

14. AI – Decision Tree making its Predication
Decision Tree as a predictive model that take the inputs and predict the
out come of the race. Different Decision Trees like Classification and
Regression Trees employed for Analisi. Please refer to link below for more
details.
http://en.wikipedia.org/wiki/Decision_tree_learning

15. AI – Neural Network making its Predication
It is a mathematical model inspired by biological neural
networks. Please refer to link below for more details.
http://en.wikipedia.org/wiki/Artificial_neural_network

16. AI – Bayesian Network making its Predication
Bayesian networks can solve decision problems under
uncertainty by using influence diagrams. Please refer to link
below for more details.
http://en.wikipedia.org/wiki/Bayesian_network

17. Opportunities – Owners
–Unbiased opinion on their ward

18. Opportunities – Trainers
– Entering horses for right Distance and Class
hence increasing the win chance
– Possible views to other trainers race strategy

19. Opportunities - Jockeys
– Accepting mounts with realistic chance to win

20. Opportunities – Investors
– Well informed decision on investment
– Avoiding high risk investments

21. Opportunities – Bookies
– Knowing the real potential of all runners so
profitable book making

22. Risks - Accidents
Racing Accidents :- Nothing much can be done about it.
Still we may avoid races with too many runners

23. Risks - Fitness
To some extent this problem can be overcome by training
your eyes for paddock look.
- A Picture perfect horse performs to its
Information on veterinarythe time true of horses on
- A restless horse fails most of
problem potential
race day are not generally known. weight is a bad sign
- Increase/Decrease of more than 4% of its
- We have video tutorial coming-up to help you.

24. Risks - Malpractices
We may overcome this problem by
- avoiding races/horses with certain unreliable connections
Crookedness by much fluctuating odds
- races with too certain Professionals
- races with many interconnected professionals/owners

25. Our Thanks & Contact Details
• Artificial Intelligence
– IIT Kharagpur, India
– Stanford University, California
Predication done at Mid-Stage are published at
• www.analisiracing.blogspot.com
Web Sites
– www.rwitc.com
– www.bangaloreraces.com
For www.indiarace.com
–
more info please contact us at
analisiracing@gmail.com
– www.racingpulse.in
– www.bolrace.com
• Inspiration Adios
Captain
– Book "Bringing Down the House" by Ben Mezrich
– Book "The Richest Man in Babylon" by George Samuel Clason
• Our Family & Friends