Hole | Wins | Losses | Score | +20 |
---|---|---|---|---|
1 | 27 | 52 | +18 | (+3) |
10 | 43 | 38 | +20 | (+3) |
Avg | 35 | 45 | +41 |
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