Hole | Wins | Losses | Score | +13 |
---|---|---|---|---|
1 | 4 | 5 | +1 | Bogey (+1) |
2 | 2 | 7 | +4 | Trpl Bogey (+3) |
3 | 5 | 4 | +4 | Par (E) |
4 | 5 | 4 | +4 | Par (E) |
5 | 3 | 6 | +6 | Dbl Bogey (+2) |
6 | 3 | 6 | +8 | Dbl Bogey (+2) |
7 | 4 | 5 | +9 | Bogey (+1) |
8 | 4 | 5 | +10 | Bogey (+1) |
9 | 5 | 4 | +10 | Par (E) |
In: +10 | ||||
10 | 3 | 6 | +12 | Dbl Bogey (+2) |
11 | 3 | 6 | +14 | Dbl Bogey (+2) |
12 | 7 | 2 | +12 | Eagle (-2) |
13 | 4 | 5 | +13 | Bogey (+1) |
14 | 5 | 4 | +13 | Par (E) |
15 | 5 | 4 | +13 | Par (E) |
16 | 4 | 5 | +14 | Bogey (+1) |
17 | 7 | 2 | +12 | Eagle (-2) |
18 | 4 | 5 | +13 | Bogey (+1) |
Out: +12 | ||||
Avg | 4 | 5 | +1 | Bogey |
The data appears to be a baseball game log, with each entry representing a single game between two teams. The log includes the date and time of each game, the home team (or "Rockies" in most cases), the visiting team, and the final score.
Here are some observations about the data:
Here's an example of what the data might look like in a more structured format:
Date | Time | Home Team | Visiting Team | Final Score |
---|---|---|---|---|
9/1 | 8:05 PM | Rockies | Brewers | 12-3 |
9/2 | 8:05 PM | Rockies | Brewers | 4-8 |
... | ... | ... | ... | ... |
To make the data more easily queryable, I would suggest converting it to a structured format like JSON or CSV. Here's an example of what the data might look like in JSON format:
[
{
"date": "9/1",
"time": "8:05 PM",
"home_team": "Rockies",
"visiting_team": "Brewers",
"final_score": "12-3"
},
...
]
Let me know if you have any specific questions about the data or if there's anything else I can help with! Updated: April 25, 2025 at 10:39 AM