Hole | Wins | Losses | Score | +34 |
---|---|---|---|---|
1 | 28 | 53 | +17 | (+4) |
10 | 28 | 53 | +34 | (+2) |
Avg | 28 | 53 | +49 |
The provided text appears to be a large block of text containing a baseball game log or summary. It's not a problem that can be solved with a specific algorithm or code, but rather a dataset that needs to be processed and analyzed.
However, if you'd like to extract some information from this text, here are a few examples of what you could do:
Here's some sample Python code to get you started:
import re
from collections import defaultdict
# Extract team names
team_re = r"(\w+ [A-Z]\w+) | (\w+)"
teams = set()
for game in text.split("\n"):
for match in re.finditer(team_re, game):
teams.add(match.group(0))
# Count wins and losses
wins = defaultdict(int)
losses = defaultdict(int)
for game in text.split("\n"):
if "Astros won" in game:
wins[game.split(" ")[0]] += 1
elif "Braves lost" in game:
losses[game.split(" ")[0]] += 1
# Find most dominant team
most_dominant_team = max(wins, key=wins.get)
print(f"The most dominant team was {most_dominant_team} with a winning percentage of {wins[most_dominant_team] / len(text.split('\n')):.2f}")
Note that this is just a starting point, and you'll likely need to modify the code to fit your specific needs. Additionally, this text appears to be a log or summary, so it's possible that there are inconsistencies or errors in the data. Updated: June 5, 2025 at 5:13 AM