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Login: | Explaining level changesDivision 1: Workout Harbourside A v Redland Winter Panthers (Thu 27 Oct 2022)Match played between Emma Coughlan (home) and Alisha Bhanot (away).Match won by Alisha Bhanot. Result: 10-15,13-15,13-15. Starting level for Emma Coughlan: 1,315, level confidence: 70%. Set manually. Starting level for Alisha Bhanot: 1,022, level confidence: 64%. Emma Coughlan to win as she is currently playing 29% better than Alisha Bhanot. Alisha Bhanot won all of the games and 56% 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 25% (PAR scoring). These are weighted and combined to calculate that Alisha Bhanot played 35% better than Emma Coughlan in this match. An upset! Assuming that any level changes are shared between both players, for this result it looks like Alisha Bhanot actually played at a level of 1,346 and Emma Coughlan at a level of 998. Without any damping, both players would need to be adjusted by 32% to match this result. Allowing for the difference in level between the players, the adjustments have been reduced to 28% and 28% respectively. Factoring in the relative levels of confidence which allows players with low confidence in their levels to change more quickly, the adjustment for Alisha Bhanot changes to +28% and Emma Coughlan changes to -25%. After applying standard match damping, the adjustment for Alisha Bhanot becomes +14.5% and for Emma Coughlan becomes -12%. Apply match/event weighting of 75% for 'Womens Autumn 2022/2023' so the adjustment for Alisha Bhanot is +10.8% and for Emma Coughlan is -8.7%. 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 +9.8% and Emma Coughlan is limited to -5% 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. Alisha Bhanot: 80%, Emma Coughlan: 84%. Reduce level confidence based on how unexpected the result is. Alisha Bhanot: 61%, Emma Coughlan: 64%. A final adjustment of -0.1% 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 Emma Coughlan: 1,251, level confidence: 64%. Final level for Alisha Bhanot: 1,120, level confidence: 61%. Notes
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