1. Love Data, Crazy About Cricket?
Introduced by: Alan Herron
Presented by: Swathi Yellajosyula
& Suddhasheel Bhattacharya

3. Love Analytics, Crazy About Cricket?

4. Love Analytics, Crazy About Cricket?

5. Let Analytics do the Betting for you!
One of the most widely viewed sporting events across the world, the World Cup is scheduled to be hosted between 30 May to 14 July 2019
10 Teams
11 Venues
48 Matches
6 Weeks
Let Analytics do the Betting for you!
A tool that uses historical performance analysis of all the ten participating teams to offer exploratory predictions about the outcome of each of the ODI matches

6. Capability Overview
Batting Statistics
Player Statistics
Playoff Prediction
Bowling Statistics
Scoring Model
The world cup predictor can evolve with addition of more contextual data as the tournament progresses
Result prediction- Playoff

7. Batting Statistics Strike Rate Prediction Batting Index Forecast
Batsman 360
This feature lets users explore the batting performance of a selected team
Users can create custom graphs to read into the data easily by using axis selectors
The tool takes into account batting statistics of each player in a selected team to predict the average strike rate & performance score for the team
A batting index of the team can also be generated that ranks teams on their batting performance over a specified period of time in the past four years

8. Wicket Strike Rate Trend
Bowling Statistics
Performance Trends
Wicket Strike Rate Trend
Bowler 360
The tool takes into account, the bowling statistics of each individual player in a selected team to gain a view over individual & average strike rate performance of the team. Key metrics such as Wicket strike rate trend &
The projected performance trend of the selected team can be compared with the opposition team’s projected performance through custom visualizations by using axis selectors

9. Batting & Bowling Economy
Player Statistics
Impact Analysis
Player Impact Index
Batting & Bowling Economy
This feature lets users calculate a performance score for each player of the team based on their past performances
Users can create custom graphs to read into the data easily by using axis selectors
The tool takes into account batting & bowling statistics of each player to predict the average strike rate at which a particular player can be predicted to perform in the upcoming matches:
Batting averages per wicket
Batting strike rates
Bowling average & wicket strike rate

10. Scoring Model Top Performer Listing Individual Score Match by Match
Prediction
Individual Score
Index
Batting/Bowler Form
This model is developed based on the historical data collected for the 10 participating teams over the last four years (Afghanistan, Australia, Bangladesh, England, India, New Zealand, Pakistan, South Africa, Sri Lanka, and West Indies)
To train our model, we utilize the data collected from all the individual players portfolios in the ten teams to compare & adjust performance ratings based on the quality of the opposition players

11. Match by Match Prediction
Winning Probability Prediction
Prediction during Warm Up Matches
India
England
New Zealand
South Africa
64% Precision in Predicting Outcomes
For a given match, the model sums up the total score of the top eleven players in each team, and the resulting win probability of a team is proportional to its total score
Top batsman, top bowler
The team with the higher win probability is the predicted winner of that match
As the tournament proceeds, the win probability of each team remaining in the competition is adjusted according to the performance

12. Top Contributor Prediction
Top Contributors from Team A
Top Contributors from Team B
3 out of 5 accurate top contributor predictions
For a given match, the model sums up the total score of the top eleven players in each team, and the resulting win probability of a team is proportional to its total score
Top batsman, top bowler
The team with the higher win probability is the predicted winner of that match
As the tournament proceeds, the win probability of each team remaining in the competition is adjusted according to the performance