I have read (again, this time in details) Italian appeal.
Google found it here:
http://frmor.net/downloads/statistical_ ... _David.pdf
My comments:
- as other statistical analysis, it is focused mainly on, ehrr, statistics, and less on go game.
- question of spent time and time for analysis in Leela:
I already wrote here on about it. Spent time in the game cannot be same as used in program. First it is necessary to manually input moves into Leela, and later to client. Player could be out of place for some reason, or distracted, and some time could be wasted. Also, sometimes spent time on analysis can be even longer than recorded, because analysis could be done in opponent's time.
- high percentage similarities of other player's games is not relevant. Those player's games should be compared to their live games.
- it is completely omitted that some moves could be forced, some expected, others could be important, and to analyze longer sequences of related moves - basically player's side of story
- Only positive thing is that it showed some of the lacking of original analysis, but it suffers from same lacking.
- two more recent live games were not analyzed, but hey were not played at the time.
Edit, most important: in this paper are listed two Metta's games from EGC 2017. I would be very interested to take a look at them.