Most International Centuries Against One Country

Overview:

This dataset provides detailed statistics on international cricket players who have scored centuries (100 runs or more) against a specific opponent country. The dataset reveals information about players' performances, including centuries, fifties, runs, innings, and other relevant metrics, all focused on their encounters with a particular country.

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Dataset Columns:

Serial Number: A unique identifier for each row in the dataset.
Player: The name of the international cricket player.
Country: The player's home country or nationality.
Versus: The opponent country against which the centuries were scored.
Mat: Total number of matches played against the specified opponent.
Inns: Total number of innings played against the specified opponent.
NO: The number of times the player remained not out (did not get dismissed) in those innings.
Runs: The total runs scored by the player against the specified opponent.
HS (Highest Score): The player's highest individual score in a single innings against the specified opponent.
100s (Centuries): The number of centuries (100 runs or more) scored against the specified *opponent.
50s (Fifties): The number of half-centuries (50 runs or more but less than 100) scored against the specified opponent.
0s (Ducks): The number of times the player got out without scoring any runs against the specified opponent.
Avg (Batting Average): The player's average runs scored per dismissal against the specified opponent.

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Potential Use Cases:

Player Performance Analysis: Researchers and cricket enthusiasts can use this dataset to analyze the performance of international cricket players against specific countries. They can identify players with the most centuries, highest averages, and consistent performance against particular opponents.

Team Selection: Cricket teams can use this dataset to assess players' suitability for matches against specific countries based on their historical performance.

Historical Insights: Analysts can understand historical trends, rivalries, and player statistics in matches between different countries.