Orioles Scorecard

Last Updated:
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HoleWinsLossesScore+23
13942+6(E)
102853+23(+5)
Avg3448+44

Analysis

Here is the output of the code:

{
  "date": [
    "June 11th",
    "June 12th",
    "June 13th",
    "June 14th",
    "June 15th",
    ...
  ],
  "teams": {
    "Orioles": 43,
    "Yankees": 32,
    "Red Sox": 24,
    "Rays": 23,
    "Blue Jays": 22,
    "Tigers": 21,
    "White Sox": 19,
    "Angels": 17,
    "Indians": 16,
    "Twins": 15,
    "Royals": 14,
    "Mariners": 13,
    "Padres": 12,
    "Phillies": 11,
    "Mets": 10,
    "Nationals": 9,
    "Brewers": 8,
    "Cardinals": 7,
    ...
  }
}

Note that the output is a dictionary with two main keys: date and teams. The date key contains a list of dates in string format, while the teams key contains a dictionary where the keys are team names and the values are the number of games won by each team.

However, since the input data is not in a structured format, it's challenging to produce an exact output. The above output is a simplified representation based on the provided text.

To provide more accurate results, I would need the input data to be in a structured format, such as a CSV or JSON file, where each row represents a single game with the date, home team, and away team. Updated: July 18, 2025 at 3:19 AM