Abstract:
Home advantage has been a huge factor in cricket. In past decade it has been even
bigger influence than earlier. Specially in test cricket its more effected than in ODI’s
because teams have to corporate the difficulties to extend of five days. The home
team have the advantage of playing in conditions where they are more familiar than
the visitors, specially the pitch behavior and the climate where these two makes
difference to the pace, bounce and consistency to which accordingly teams have to
adjust their tactics, team combination and techniques on players.
The future of test cricket losing it sheen as inability of teams to perform outside the
home which is out of comfort zone so the interest of test cricket may have dipped
due to the lack of competition. So, the idea is to analyze data sets of test cricket and
weather to predict the behavior of cricket pitches using supervise machine learning
which can generate the pitch behavior in test match where teams can analyze their
game plan well in the particular condition in the particular time.
