In this presentation slide, we tried to figure out Cricket Match Prediction. Subscribe our YouTube Channel: https://www.youtube.com/thehungryprogrammer Follow me on Facebook- https://www.facebook.com/Marufhosenshawon Follow me on Twitter- https://twitter.com/MarufHosenShaon Follow me on Linkedin- https://www.linkedin.com/in/marufhosenshawon/ Follow me on github- https://github.com/Marufhosenshawon

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Team ID:
Fall19D100(#381)
Team Name: Team-A
(Research Project)

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Presented by Supervised by
Cricket match Prediction
Maruf Hosen(171-15-9383)
Abdullah Al-Mamun(171-15-9403)
Mr. Shah Md Tanvir Siddiquee
Assistant Professor
Department of CSE
Daffodil International University

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Motivation.
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• Selection of best playing XI.
• To know Which position is best for a player.
• To identify weak point of the opponent.
• To know the expected score.

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Objectives
• Predicting best team.
• Predicting winning team.
• Predicting key players of the match.
• Predicting team total.
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How we will predict.
• based on weather
• Ground
• Opponent team
• previous record
• Current performance of players
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How we will predict.
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Data Set Generation
• Collect data.
• Data set Description.
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Data set Description
• Season
• Match Number
• Team1: The Playing team 1
• Team2: The Playing team 2
• Venue
• Home Team
• Toss Winner
• Toss Decision
• Player of Match
• Team Batting First
• Team Batting Second
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Data set Description
• First Innings Score
• Overs Played In First Innings
• Wickets Lost In First Innings
• First Innings Run Rate
• Second Innings Score
• Overs Played In Second Innings
• Wickets Lost In Second Innings
• Second Innings Run Rate
• Winning Margin
• Winning Team
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Data Cleaning
• Our data is in accurate as we look data from
good platform like cricinfo, cricbuzz, cricsheet
etc.
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Attribute Selection
The main attributes like-
• Innings total
• Key players
• Toss Winner
• Home team
• Man of the match
• Margin of winning
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Data mining algorithms.
• Decision Tree
• Random Forest
• Naïve Bayes
• K-Nearest Neighbor
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Reference
• https://www.researchgate.net/publication/323611656_Predicting_Players'_Perfor
mance_in_One_Day_International_Cricket_Matches_Using_Machine_Learning
• https://www.researchgate.net/publication/326416741_Prediction_of_Live_Cricket
_Score_and_Winning
• https://www.researchgate.net/publication/297312041_ICC_Cricket_World_Cup_P
rediction_Model
• https://www.researchgate.net/publication/331397563_Prediction_of_Cricket_Wor
ld_Cup_2019_by_TOPSIS_Technique_of_MCDM-A_Mathematical_Analysis
• https://github.com/Turing551/ICC-Cricket-World-Cup-2019
• https://www.cs.rit.edu/usr/local/pub/GraduateProjects/2161/spm5218/Report.pd
f
• https://ieeexplore.ieee.org/abstract/document/7489605
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