Abstract: Techniques are provided for retrieving performance data from an exercise database. At a server device, data entries are stored in a database. Each of the exercise data entries comprises one or more performance metrics for a corresponding metric category. The server receives first performance data of an individual performing an exercise event and selects one of the exercise entries in the database as a selected exercise entry. The server determines a metric category for the first performance data and matches the metric category of the first performance data with a same metric category for the selected exercise entry. The server retrieves second performance data from the selected exercise data entry. The second performance data belongs to a metric category that does not match the metric category of the first performance data. The server assigns the second performance data as data associated with the exercise event.

Abstract: Techniques are provided for retrieving performance data from an exercise database. At a server device, data entries are stored in a database. Each of the exercise data entries comprises one or more performance metrics for a corresponding metric category. The server receives first performance data of an individual performing an exercise event and selects one of the exercise entries in the database as a selected exercise entry. The server determines a metric category for the first performance data and matches the metric category of the first performance data with a same metric category for the selected exercise entry. The server retrieves second performance data from the selected exercise data entry. The second performance data belongs to a metric category that does not match the metric category of the first performance data. The server assigns the second performance data as data associated with the exercise event.

Abstract: A peer-to-peer, proximity based, open marketplace for buyers and sellers of event tickets permits subscribers to use a buyer-seller exchange service via a clearinghouse server to connect with other users to coordinate the sale of tickets and other time sensitive items based on factors such as asking price, availability of tickets, market activity, as well as the physical proximity of the buyer and seller.