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    Overtime Markets - Volume

    Analyze the total volume on Overtime Markets over the past two weeks. Which games received the most activity, both in total users and total $ volume? Which sports are receiving the most bets in total dollar volume on a daily basis? Explain your findings.

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    Approach

    I used this code : event_name='Issued' to find TXs needed to solve this bounty, and also excluded some contracts which had not related informations to games.

    Best games which had most volume are listed in the following :

    'Boston Red Sox vs New York Yankees' volume = 16684.72 'Leon Edwards vs Kamaru Usman' volume = 14175.03 'Philadelphia Phillies vs Miami Marlins' volume = 12306.5 'Nottingham Forest vs West Ham United' volume = 11187.55 'Buffalo Bills vs Indianapolis Colts' volume = 10601.89 'Chelsea vs Tottenham Hotspur' volume = 10479.2 'Cincinnati Reds vs Chicago Cubs' volume = 9953 'Salernitana vs AS Roma' volume = 8567.45 'Salernitana vs AS Roma' volume = 8567.45 'Bayern Munich vs VfL Wolfsburg' volume = 6363.86

    Overtime Markets - Top 10 Volume

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    Overtime Markets - Top 10 Users

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    Best games which had most users are listed in the following :

    Nottingham Forest vs West Ham United count = 11

    Los Angeles Dodgers vs Minnesota Twins count=11

    Celta Vigo vs Real Madrid count=10

    Houston Astros vs Texas Rangers count=10

    Osasuna vs Sevilla count=10

    Clermont Foot Clermont Foot vs Paris Saint-Germain. count=10

    Houston Astros vs Texas Rangers count=10

    Manchester City vs Bournemouth count=9

    Newcastle United vs Manchester City count=9

    Las Vegas Raiders vs Minnesota Vikings count=9

    Sports

    After checking all the tables related to the Optimism network, I could not find a solution to separate and categorize the volume and user of sports fields from each other.