I'm conducting further tests to try to establish the actual ELO rating of Maia 1900 on the Evo. For this I'm using the Shredder for Android app which calculates the ELO of the opponent over several games and based on the result of each game adjusts its own ELO for the next game. In this way it targets the ELO of the opponent plus or minus a margin of error, but I believe gives a very good idea of the player's rating. So far the Maia 1900 bot has an ELO of 1465 but I think this will drop more as I get it to play more games. I'm not bothering to save these games, just playing as many as I have time for.

I have noticed that sometimes Maia appears to play reasonable moves but often it tends to be just a matter of time before it starts blundering pieces. I would think this is because it just does not have enough information for all positions in a particular game. Maybe if the neural networks were trained with a number of games a magnitude higher it may fair better, but I wish they would have implemented some node searching. Just looking 4 or 5 ply ahead would make quite a difference I think.

Regards
Ray