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Login: | Explaining level changesDivision 1: Redland Winter Lynx v University of Bristol Chicken Dinners (Thu 09 Nov 2017)Match played between Daryl Williams (home) and Alisha Bhanot (away).Match won by Daryl Williams. Result: 9-7,9-4,9-3. Starting level for Daryl Williams: 849, level confidence: 72%. Set manually. Starting level for Alisha Bhanot: 935, level confidence: 60%. Alisha Bhanot to win as she is currently playing 10% better than Daryl Williams. Daryl Williams won all of the games and 66% of the points. This games result would be expected if she was better by around 55% or more. This points result would be expected if she was better by around 41% (english scoring). These are weighted and combined to calculate that Daryl Williams played 46% better than Alisha Bhanot in this match. Assuming that any level changes are shared between both players, for this result it looks like Daryl Williams actually played at a level of 1,075 and Alisha Bhanot at a level of 738. Without any damping, both players would need to be adjusted by 27% to match this result. Factoring in the relative levels of confidence which allows players with low confidence in their levels to change more quickly, the adjustment for Daryl Williams changes to +21% and Alisha Bhanot changes to -25%. After applying standard match damping, the adjustment for Daryl Williams becomes +11.6% and for Alisha Bhanot becomes -14%. Apply match/event weighting of 75% for 'Womens Ladies Winter 2017/2018' so the adjustment for Daryl Williams is +8.7% and for Alisha Bhanot is -9.9%. Apply limits to the amount of change for a single match which are based on player level, level confidence and time since last match so that Alisha Bhanot is limited to -5.8% level change. In general a player's level won't go up by more than 10% or drop more than 5% if they've played in the last 7 days but those limits are relaxed if their previous match was further back. Increase level confidence due to one more match played. Daryl Williams: 85%, Alisha Bhanot: 77%. Reduce level confidence based on how unexpected the result is. Daryl Williams: 67%, Alisha Bhanot: 61%. A final adjustment of +8.6% 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 Daryl Williams: 1,055, level confidence: 67%. Final level for Alisha Bhanot: 911, level confidence: 61%. Notes
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