This section gives headline information about the player including their level, age group, which clubs they play for and any membership numbers they have. This information is received with the results but can be updated and completed by player members and admins.
Level confidence is the confidence the system has in the player's level. It goes up with more matches played and down with unexpected results. A player's level will change more quickly if their level confidence is low so it gets to the right level more quickly.
University of Bath, Senior Level confidence - 57% after last match, 10% now.
Source system links
Use these links to visit the player's profile page on the source systems that the player's results came from.
Level history (by month) - Womens league - Last 10 years
This chart shows level after each match over time up to two years of history and, if over two years, it shows the level average for each month. For the per-match chart, hover over each point for result details.
Please wait while your browser draws the chart...
Level played at - Womens league - Last 10 years
This chart shows the level played at for each match compared with their standard, damped, level history. This assumes their opponent played at or near their own level and that the result was down to this player's playing level for that match.
This is what the level chart would look like if there was no damping.
Please wait while your browser draws the chart...
Consistency - Womens league - Last 10 years
This chart shows how close the result was to the expected result and also how consistent the game scores were. For intance 11-3, 3-11 is less consistent than 11-8, 11-8.
Please wait while your browser draws the chart...
Position history - Last 10 years
This chart shows the ranking position over time.
No position data for this player in this time period.
Head to head
Player stats - Last 10 years
This table summarises the player's stats for the period selected. Hopefully most are self-explanatory. Looking at the last four gives us the latest levels which we can compare to previous levels to calculate the current trend. If the level change over the last year is positive we can extrapolate and calculate how long it will take this player to turn professional! If it's less than a hundred years, we show it!
Note that the rankings for club, region, country etc. are also links. Clink on these to go straight to the appropriate ranking with this player highlighted in it.
Matches played: 14
Won: 6
Lost: 8
Win ratio: 43%
Games played: 49
Won: 22
Lost: 27
Win ratio: 45%
Points played: 605
Won: 278
Lost: 327
Win ratio: 46%
Levels - Initial: 333, Year ago: TBD, Season start: TBD, Now: 314
Change - Overall: -6%, Last year: n/a, This season: n/a, Last match: -5%
Last 4 - Level: 318, Level played at: 325, Trend: +2%
Lowest level: 299 on 2 Nov 2017
Highest level: 331 on 6 Feb 2018
Match history - Last 10 years
All the player's results for the period selected are shown here, most recent first, along with the effect of each one on the player's level.
Note that a lot of the information shown are also links. Click on the match type to see the ranking list of all players who play in the same matches (such as a tournament or league) with this player highlighted. Click on the club name for the club ranking. Click on the date for more information about the match if if available. This is also the route to take if you want to edit the match result (and have the required permissions). Clicking on Explain levels takes you to the page that shows all the steps taken to determine what level change should be applied. Clicking on Head to head shows you the player comparison page for the two players which includes the expected result between them.
