About

About Pattern Analyzer

The X-Wing community has already built some amazing tools to study and analyze tournament data. Examples of these are sites like MetaWing, PBM, and Advanced Targeting Computer.

These are great tools for gaining deep insight into a tournament after it has finished, but they require the data to be exported from the tournament page and uploaded to Listfortress. However, with the sunsetting of TTO and the switch to Longshanks, there is currently no way to export the tournament data from Longshanks. This means a chunk of the tournament data is missing from Listfortress.

Pattern Analyzer tries to fill this gap by obtaining data directly from Longshanks (and other vendors) and allowing people to discover what squads are played and gain some additional insights into an X-Wing tournament while it is still in progress. And since Pattern Analyzer acquires this all data anyway, it can also provide an export for Listforstress, so that it stays up to date and other tools like MetaWing and PBM have information to consume.

How does it work!?

Pattern Analyzer crawls the vendor website (Longshanks, Rollbetter, …) for information. Sometimes it might use an API of the site, other times it uses the same website you are seeing when visiting the event page. In the later case, Pattern Analyzer goes through the source code and extracts information. If this information contains XWS it can directly be used. A link to YASB work too. Pattern Analyzer can be converted to XWS. This standard, established by the X-Wing community, is then used to generate and display squads in a comprehensible form and also create additional statistics.

There is no database. Some pages are generated during build time and are incrementally regenerated, others are created on request.

About the Data

What is the “unknown” faction?

Some squad lists may have been entered in a format that can not be analyzed by Pattern Analyzer and will be not considered in most of the statistics. In other cases they will show up as “unknown” or “???” to indicate how much of the information could be used to generate the statistic.

Terminology

Below you will find explanations of some commonly used terms:

• Percentile: The percentile indicates how well an entity (pilot, upgrade, ...) performs in comparison to other entities in the same set (single or multiple tournaments). It is calculated by averaging the results, and expressed as a percentage.

  For example, if a pilot makes 1st and 3rd place in a tournament with 10 participants, her percentile will be 80% since there is one occurrence of the the pilot that is better than 90% of the field (1st place) and the occurrence (3rd place) is better then 70% of the field. Thus on average the pilot performed better than 80% of the field.

• Std. Deviation: The standard deviation measures how dispersed the performance (percentile) of an entity (pilot, upgrade, ...) is in relation to its mean. Low standard deviation means the results are clustered around the mean performance. On the other hand, high standard deviation indicates that the results are more spread out. Basically, a high standard deviation means a high variance in results and vice versa.

  If there is only one occurance of an entity, a "-" is displayed rather than the standard deviation of 0% to indicate that there can not be any deviation.

• Winrate: The winrate is expressed as a percentage and represents how much games an entity (pilot, upgrade,…) has won in comparison to the total games it appeared in.

• Frequency: The frequency is expressed as a percentage and represents how much games an entity (pilot, upgrade,…) appeared in. This is usually in relation to the faction (in case of pilots) or to the slot (in case of upgrades).

• Count: Because frequency is a relative number, the absolute amount of appearances is displayed in addition.