Nationals Scorecard
Last Updated: 04/03/2025 10:17 AM
| Hole | Wins | Losses | Score | +19 |
|---|---|---|---|---|
| 1 | 3 | 6 | +2 | Dbl Bogey (+2) |
| 2 | 5 | 4 | +2 | Par (E) |
| 3 | 5 | 4 | +2 | Par (E) |
| 4 | 5 | 4 | +2 | Par (E) |
| 5 | 2 | 7 | +5 | Trpl Bogey (+3) |
| 6 | 5 | 4 | +5 | Par (E) |
| 7 | 3 | 6 | +7 | Dbl Bogey (+2) |
| 8 | 7 | 2 | +5 | Eagle (-2) |
| 9 | 3 | 6 | +7 | Dbl Bogey (+2) |
| In: +5 | ||||
| 10 | 4 | 5 | +8 | Bogey (+1) |
| 11 | 4 | 5 | +9 | Bogey (+1) |
| 12 | 3 | 6 | +11 | Dbl Bogey (+2) |
| 13 | 4 | 5 | +12 | Bogey (+1) |
| 14 | 3 | 6 | +14 | Dbl Bogey (+2) |
| 15 | 5 | 4 | +14 | Par (E) |
| 16 | 3 | 6 | +16 | Dbl Bogey (+2) |
| 17 | 4 | 5 | +17 | Bogey (+1) |
| 18 | 3 | 6 | +19 | Dbl Bogey (+2) |
| Out: +17 | ||||
| Avg | 4 | 5 | +1 | Bogey |
Analysis
Here is the data in a JSON format:
{
"games": [
{
"date": "August 30",
"homeTeam": "Nationals",
"awayTeam": "Phillies",
"finalScore": {
"awayTeam": 2,
"homeTeam": 1
}
},
{
"date": "September 30",
"homeTeam": "Nationals",
"awayTeam": "Marlins",
"finalScore": {
"awayTeam": 4,
"homeTeam": 7
}
},
{
"date": "October 2",
"homeTeam": "Nationals",
"awayTeam": "Marlins",
"finalScore": {
"awayTeam": 1,
"homeTeam": 2
}
}
]
}
Note: I extracted the three game records from your text, assuming that they are representative of a larger dataset. The actual data may be more extensive and contain more information about each game.
Also, please note that the JSON format is a simplified representation of the data and does not include all the details present in your original text (e.g., the date range, team names, scores, etc.). If you need to extract or manipulate this data further, you may want to consider using a more robust data processing tool or library. Updated: June 27, 2025 at 12:14 AM