More Info

Help title

Help content

Upgrade to premium membership

You have reached the maximum number of players that you can follow. Upgrade now to follow more.

cookies_acceptance

important

To give you the best experience, we use cookies to remember your settings and personalise your pages and social media. Please click Accept if you are happy for us to do this. To find out more about our use of cookies please see our cookie policy.

Explaining level changes

This calculation is done in two main parts; first work out the adjustment needed to match the results and then apply damping. This means that levels should always be 'about right' but the time taken to get there or the volatility is dependent on the damping.
A level also has 'level confidence' which drops if players haven't played for a long time or have had enexpected results. As low confidence levels adjust more quickly than high confidence levels, it allows these players to find their level more quickly without impacting their opponent's level too much.
Point scores are used as well as game scores for accuracy - particularly important for 3-0 results - though we can work with game scores only too, albeit with more damping.
Mismatched players are allowed for - you don't have to hammer your opponent. See explanation above if this applies to this match.
The section on damping is where we still have some options. We have recently made a change to damp league matches more than tournament matches and box matches even more than that. This gives added weight to the more important matches.
There are occasional, very small adjustments made to all players to keep the averages constant which are not covered here.
You don't get a bonus just for winning - if you want to go up you have to play better than expected against your opponent.
We have spent more than 5 years fine tuning the level calculations based on tens of thousands of match results and a great deal of feedback from players, team captains and coaches. It's the most usable and accurate ranking system there is in any sport, let alone squash.
For a more complete explanation of how levels are calculated (on which this system is based) see the help file here.
If you have thoughts/opinions on the above or any feedback on the way levels are calculated or updated, please contact us. We welcome all feedback, although we are keen squash players ourselves and would pefer to be on-court than in front of a screen so please be patient and please do try to see if your question has already been answered on the help page. We are unable to answer questions about hard anyone played in their match - we only get to see the results - and if your level didn't increase as expected please make sure you've looked at the above explanation before contacting us. If you want to go up the levels, train harder, listen to your coach and win more points. Or just be incredibly talented!

SquashLevels calculations

Ashley Stanton v Anthony Rogal (Tue 06 Aug 2019)

Match won by Anthony Rogal. Result: 8-11,3-11,8-11.

Starting level for Ashley Stanton: 5,833, level confidence: 77%. Set manually.
Starting level for Anthony Rogal: 16,381, level confidence: 79%. Set manually.
Anthony Rogal to win as he is currently playing 181% better than Ashley Stanton.

Anthony Rogal won all of the games and 63% of the points.
This games result would be expected if he was better by around 55% or more.
This points result would be expected if he was better by around 74% (PAR scoring).
These are weighted and combined to calculate that Anthony Rogal played 74% better than Ashley Stanton in this match.

Due to the difference between the players' levels, allow for the likelihood that Anthony Rogal was taking it easy by anything up to 22%. This gives him an allowed level range for this match between 9,065 and 16,381 without affecting his level.

In this case, Anthony Rogal played at level 11,358 and remained within his allowed range so his level will not be adjusted. On the assumption that Anthony Rogal would normally have been playing at level 12,735 (based on typical behaviour), Ashley Stanton played better than expected and therefore gains a pre-damping level increase of 12%.

Allowing for the difference in level between the players, the adjustments have been reduced to 0% and 7.1% respectively.

Factoring in the relative levels of confidence which allows players with low confidence in their levels to change more quickly, the adjustment for Anthony Rogal changes to 0% and Ashley Stanton changes to +7.1%.

After applying standard match damping, the adjustment for Anthony Rogal becomes 0% and for Ashley Stanton becomes +2.8%.

Given Ashley Stanton's level and the type of match played, an additional damping of 6.5% has been applied to his level change.

Apply match/event weighting of 65% for 'Middlesex Mens Summer League 2019' so the adjustment for Anthony Rogal is 0% and for Ashley Stanton is +1.7%.

Increase level confidence due to one more match played. Anthony Rogal: 89%, Ashley Stanton: 88%. Reduce level confidence based on how unexpected the result is. Anthony Rogal: 70%, Ashley Stanton: 69%.

A final adjustment of +0.3% has been made to both players as part of the automatic calibration that is performed after each match. All players in this pool will have been adjusted equally in order to remain equivalent to other player pools.

Final level for Ashley Stanton: 5,948, level confidence: 69%.
Final level for Anthony Rogal: 16,422, level confidence: 70%.