Edmonton Oil Kings vs. Calgary Hitmen
The Oil Kings have been on an impressive run, showcasing strong defensive play and efficient scoring. Their power play unit has been particularly effective, converting at an impressive rate. On the other hand, the Hitmen have struggled with consistency but possess a roster capable of explosive performances. Key players to watch include Edmonton's top centerman, known for his playmaking abilities, and Calgary's veteran winger, who has been pivotal in clutch moments.
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The goaltending matchup will be crucial in this game. Edmonton's starting goalie has been stellar this season, boasting one of the league's best save percentages. Meanwhile, Calgary will rely on their backup goalie due to an injury to their starter. This could be an opportunity for Edmonton to capitalize on any uncertainty in Calgary's net.
In terms of betting strategy, consider looking at individual player props or over/under goals based on recent trends in offensive production from both teams.
Recent head-to-head matchups have favored Edmonton slightly, with three out of their last four encounters ending in Oil Kings victories. This trend could continue given their current form and home-ice advantage.
- Edmonton Oil Kings: Power Play Conversion Rate - 25%
- Calgary Hitmen: Penalty Kill Success Rate - 80%
- Projected Scoreline: Edmonton Oil Kings 4 - Calgary Hitmen 2
Player Spotlight: Edmonton's Top Centerman
This player has been instrumental in driving Edmonton's offense this season. With his vision and passing ability, he consistently sets up scoring opportunities for his linemates. His performance tomorrow could be a deciding factor in the game's outcome.
- Average Points per Game: 1.2
- Penalty Minutes: Minimal - Known for clean play despite physical style
- Faceoff Win Percentage: Over 55%
Betting on him as the first goal scorer might yield favorable odds given his offensive prowess and current form.
I am trying to write some code using Python that takes some data from an Excel file (using openpyxl) that contains information about different websites (e.g., url = "https://www.example.com", domain = "example.com", status_code = "200", etc.) into a JSON file that looks something like this:
[
{
"url": "https://www.example.com",
"domain": "example.com",
"status_code": "200"
},
{
"url": "https://www.another-example.com",
"domain": "another-example.com",
"status_code": "404"
}
]
I am struggling with how I can extract this information from my Excel file (which is structured with column headers corresponding to these fields) into my JSON file using openpyxl or pandas or any other library that you think would be useful for this task.
I am able to read data from Excel using openpyxl but I don't know how I can write it into JSON format like I described above without manually creating each dictionary object as shown in my example JSON file above which seems really inefficient if there are many rows in my Excel file.
Please help me understand how I can automate this process using Python!
