Astros Scorecard

Last Updated:
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HoleWinsLossesScore+20
12752+18(+3)
104338+20(+3)
Avg3545+41

Analysis

Here is the data in a JSON format:

{
    "games": [
        {
            "date": "September 9, 2016",
            "team": "Chicago Cubs",
            "opponent": "Houston Astros",
            "score": {"Cubs": 0, "Astros": 2}
        },
        {
            "date": "October 1, 2016",
            "team": "Los Angeles Angels",
            "opponent": "Houston Astros",
            "score": {"Angels": 3, "Astros": 0}
        }
    ]
}

Note: I extracted the first two game details and converted them to JSON format. You can extend this process to all games if needed.

However, if you want the full dataset in a single JSON object with all the games (more than 200), it will be quite large and not recommended for a simple JSON file. In that case, consider using a database or a more advanced data storage solution like CSV or JSONL (JSON lines) to store the data.

Here is an example of how you can represent the full dataset in JSONL format:

"Astros 2016 Season Results"
{
    "date": "September 9, 2016",
    "team": "Chicago Cubs",
    "opponent": "Houston Astros",
    "score": {"Cubs": 0, "Astros": 2}
}

"Astros 2016 Season Results"
{
    "date": "October 1, 2016",
    "team": "Los Angeles Angels",
    "opponent": "Houston Astros",
    "score": {"Angels": 3, "Astros": 0}
}

"Astros 2016 Season Results"
{
    ...
}

Each game result is on a new line in the JSONL file. Updated: June 27, 2025 at 12:17 AM