[go: up one dir, main page]

Tekade et al., 2020 - Google Patents

Cricket match outcome prediction using machine learning

Tekade et al., 2020

View PDF
Document ID
9518156996754766286
Author
Tekade P
Markad K
Amage A
Natekar B
Publication year
Publication venue
International journal

External Links

Snippet

In cricket, particularly the twenty20 format is most watched and loved by the people, where no one can guess who will win the match until the last ball of the last over. In India, The Indian Premier League (IPL) started in 2008 and now it is the most popular T20 league in …
Continue reading at www.ijasret.com (PDF) (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55Details of game data or player data management
    • A63F2300/5546Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/60Methods for processing data by generating or executing the game program
    • A63F2300/61Score computation
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F7/00Indoor games using small moving playing bodies, e.g. balls, discs or blocks
    • A63F7/06Games simulating outdoor ball games, e.g. hockey or football
    • A63F7/0604Type of ball game
    • A63F7/0608Baseball
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/10Control of the course of the game, e.g. start, progess, end
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/60Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor

Similar Documents

Publication Publication Date Title
Tekade et al. Cricket match outcome prediction using machine learning
Kim et al. Data‐driven exploratory approach on player valuation in football transfer market
Jain et al. Sports result prediction using data mining techniques in comparison with base line model
CN112766546B (en) A real-time prediction method of football match victory and defeat based on machine learning
Kapadiya et al. Intelligent cricket team selection by predicting individual players’ performance using efficient machine learning technique
Shetty et al. Machine learning-based Selection of Optimal sports Team based on the Players Performance
Schumaker et al. Sports knowledge management and data mining.
Priya et al. Analysis and winning prediction in t20 cricket using machine learning
Suguna et al. Utilizing machine learning for sport data analytics in cricket: score prediction and player categorization
Sinha Application of machine learning in cricket and predictive analytics of IPL 2020
Haq et al. Machine learning techniques for result prediction of One Day International (ODI) cricket match
Chowdhury et al. One day International (ODI) cricket match prediction in logistic analysis: India vs. Pakistan
Somaskandhan et al. Identifying the optimal set of attributes that impose high impact on the end results of a cricket match using machine learning
Kim et al. March Madness prediction: Different machine learning approaches with non‐box score statistics
Viggiato et al. Trouncing in dota 2: An investigation of blowout matches
Shah Predicting outcome of live cricket match using duckworth-Lewis Par score
Choudhari et al. Dream11 IPL Team Recommendation using Machine Learning and Skill-Based Ranking of Players
Hasanika et al. Data mining system for predicting a winning cricket team
Nirmala et al. Analysis and Predictions of Winning Indian Premier League match using Machine Learning Algorithm
Satwani et al. Live cricket predictions for runs and win using machine learning
Agrawal et al. Winner prediction in an ongoing one day international cricket match
Lieder Can machine-learning methods predict the outcome of an nba game?
Ishi et al. A study on impact of team composition and optimal parameters required to predict result of cricket match
Sadi et al. Deep learning to reliable score prediction in hundred ball cricket matches
Satyapanich et al. Predicting game results for football league using deep learning