I think this is an extremely worthwhile exercise. I had the same experience when I cut out all the false serves, and refused serves of a Kinnaird final one year - a three hour match came down to about 1 hour 40 mins. It was at Eton. I blamed the bricks at the top of the servicing angle for ruining so many serves and making so many others unacceptable. On the subject of the "aces", returns and unforced errors count - one can learn so much. I remember Robert Wilson did a fascinating breakdown of a Kinnaird final - I seem to remember a key stat was the number of cuts which were returned back court. I would say that the standout stat here was Edwin's return count - at 18 far more than anybody else's. What is he doing differently? The aces and unforced errors were evenly distributed. I think one probably has to break down the kind of return or unforced error to learn properly. But I think this kind of statistical approach is much needed in EF. Thanks, Archie.
Thanks John - I'd love to do more videos like this, but it's quite a time intensive exercise. Another stat that Edwin suggested was simply cut returned percentage. And for myself, just a returned cuts percentage - quite a few went round the walls in this game leading to easy back court returns which I haven't included in the 'cuts returned' number as it didn't seem like they deserved the same weighting. I'll bear in mind for the next video.
I think this is an extremely worthwhile exercise. I had the same experience when I cut out all the false serves, and refused serves of a Kinnaird final one year - a three hour match came down to about 1 hour 40 mins. It was at Eton. I blamed the bricks at the top of the servicing angle for ruining so many serves and making so many others unacceptable.
On the subject of the "aces", returns and unforced errors count - one can learn so much. I remember Robert Wilson did a fascinating breakdown of a Kinnaird final - I seem to remember a key stat was the number of cuts which were returned back court.
I would say that the standout stat here was Edwin's return count - at 18 far more than anybody else's. What is he doing differently? The aces and unforced errors were evenly distributed. I think one probably has to break down the kind of return or unforced error to learn properly. But I think this kind of statistical approach is much needed in EF. Thanks, Archie.
Thanks John - I'd love to do more videos like this, but it's quite a time intensive exercise.
Another stat that Edwin suggested was simply cut returned percentage. And for myself, just a returned cuts percentage - quite a few went round the walls in this game leading to easy back court returns which I haven't included in the 'cuts returned' number as it didn't seem like they deserved the same weighting.
I'll bear in mind for the next video.