The data here are all excellent and the resulting conclusion is very clear. I did some math to compute fractions of successful CCDs because I couldn't find those in the tables, but then discovered that the numbers were already there. So the main thing I would modify is to present this in a way that's more easily scanned to get a high level overview. JIRA is clearly not a good venue for that, so I would suggest pushing this into a technote in this ticket, even if the text surrounding it is left for a subsequent ticket. (e.g., you can make this Appendix A without anything else yet). One table of simply old percentage -> new percentage for each dataset would be the right level of detail for someone to see the conclusion, and then probably a second table could contain the detailed CCD counts and statistics.
I think you could show that the matcher is even better speed-wise if you included a bit of data on dense fields. Doesn't have to be 10k ccds, but maybe a dozen to give a general sense. The one other minor detail is to please drop insignificant digits.