T-20 Predictor is a tool developed in WEKA to predict cricket scores and match results in T-20 matches based on parameters like venue and pitch type. It uses linear regression to predict scores in the first innings and decision trees to classify whether the batting team will win, lose or tie while chasing a target in the second innings. Data on past T-20 matches was collected from espncricinfo.com and cleaned before being used to build and test the predictive models.

1. BY :
RAJAT BAJAJ
101303130
COE-6
T20 PREDICTOR

2. T-20 PREDICTOR
 T-20 Predictor is a calculation tool
developed in WEKA , which will be
used in cricket to predict scores and
possible results of a T-20 match
depending upon certain parameters
like Venue , Pitch etc.

3. Objectives
1. In the first innings of a T-20 match, it acts
as a Score Predictor i.e it will predict
score at various stages for Batting Team.
2. In the second innings, it works as a Win
predictor i.e it will predict whether
Batting Team will win or lose while
chasing a Target given by the opposite
Team.

4. Data Selection and Collection
-> Data was
gathered from
espncricinfo.com
-> Data gathered
initially was
unstructured and
raw
-> Data was
cleaned and
duplicates were
removed
-> Only important
attributes were
taken in
consideration
-> Data was stored

5. Processed Dataset

6. Methodologies
1. Score Predictor : In this part , we will
use linear regression technique to predict
a continuous numeric value for score.
2. Win predictor : In this part , we will use
Classification using Decision Tree to
predict either win , loss or a tie.

7. Methodologies
 Linear Regression : It is a data mining
function that predicts a numerical value for
an attribute (to be predicted ), by using
values of other attributes
 Classification : Decision tree builds
classification models in the form of a tree
structure. It breaks down a dataset into
smaller subsets and at the same time an
associated decision tree is incrementally
developed.

8. Attributes
 There are total 9 attributes in the data-set
 Data-set will consist of 73 records.
 Venue has values : Home , Away and Neutral
 Pitch type has values Green , Flat , Hard and Dry
 Scores are given by their values and number of
wickets fallen
 Batting has two values : 1st and 2nd
 Result can have three values : Win , Loss or Tie
 In Phase-1 : 20-over score attribute will be class
attribute
 In Phase-2: Result attribute will be class attribute