White Sox Scorecard

Last Updated:
White Sox logo
HoleWinsLossesScore+28
12853+17(+1)
103447+28(+4)
Avg3150+46

Analysis

This is a baseball season schedule. The teams and players are not specified, but it appears to be a comprehensive list of games played by the Chicago White Sox (based on the team name and stadium location) against various opponents from September 2022 onwards.

The data seems to be in a CSV (Comma Separated Values) format, with each row representing a single game. The columns appear to be:

  1. Date
  2. Opponent
  3. Result (win/loss)
  4. Time (local time)

To extract specific information from this schedule, you can use a programming language like Python or R to parse the data and perform various analyses.

Here are some possible queries or tasks that could be performed on this data:

  1. Get the total number of games played: Count the number of rows in the dataset.
  2. Find the most common opponent: Use a groupby function (e.g., pandas groupby() in Python) to count the occurrences of each opponent and find the one with the highest frequency.
  3. Analyze winning streaks: Iterate through the data, keeping track of consecutive wins and losses for each team.
  4. Calculate the home/away advantage: Compare the win-loss records of games played at home (White Sox stadium) versus away games.
  5. Identify notable trends or anomalies: Look for unusual patterns in the schedule, such as an unexplained streak of losses or a sudden change in performance.

These are just a few examples of what could be done with this data. The actual analysis will depend on your specific goals and interests! Updated: June 26, 2025 at 8:35 PM