# print(oneline_comment) cp_index = oneline_comment. # get to the last move for next_move in game. headers = username:įound_player = True elif game. WHITE # Default found_player = False # Just in case there is a game not played by this username if game. # do this for each game player_color = chess. Username = "MattPlaysChess" centipawn_keyword = "Centipawn loss:" # Read the first game game = chess. Pgn = open( "chessbase-export.pgn", encoding = "utf-8") Basically just the date and the centipawn loss for my player (first figuring out if I was white or black). Now I used a script again to go through each PGN file and pull out the information I needed for my chart. Now I had a new big PGN file with all my games, but now they were annotated with centipawn loss. If you need to export files as PGN from Chessbase, it seems like the way you need to do that is to create a new database in PGN format (not CBH), and then copy games to that. My solution was to just export all the games, parse the PGN, and then output the date and centipawn loss. The final move had a comment with statistics including a line like Centipawn loss: w=98/b=178. The other thing Chessbase did was to add a comment with the centipawn loss to each game. I needed the date and centipawn loss for each game so I could sort it. That would not work for me since I wanted to graph the results by date. I could extract that, but they did not seem to actually be in order of the games. The files have each player and a list of centipawn loss averages.įor example, for one opponent I played three times it wrote: Some Opponent: 93/91/56 => Average=0.82įor me, who played in every game, it started like: MattPlaysChess: 187/204/167/123/123/116/176/146/133/137/152.Īnd went on and on for 600+ games. Chessbase wrote out some text files after the generation. Step 3 - Getting The Data Out of Chessbase # For the setting, I used 3 seconds, which seemed like sufficient. I selected all my games, clicked the button, and let it run overnight. Once in Chessbase, I used the Centipawn analysis feature. In the end I converted it back to PGN anyway. I converted it to Chessbase’s CBH format, but I’m not sure if I needed to do that. I first added the generated PGN file to Chessbase. But now I am starting to see some value in Chessbase. Before this I was basically just using Chessbase as a storage mechanism, which is a bit silly for the price. This is the first feature of Chessbase that I’ve found that I actually use. I do have Chessbase, and that has a feature to calculate centipawn loss. As I mentioned above, Lichess will calculate this, but I figured I could do it all locally, and all at once. Now I have all my games in one big file, but I need a way to calculate centipawn loss. User_name = '' with open( "all_games.pgn", "w") as output_file:Īpi = f " " print(api)Īs you can see, I filtered my games to just rapid games, since that is what I was interested in. After I ran it, I had a large PGN file with all of my games. Here is the script I used to download all my games from. has monthly archives of a player’s games ( API reference), so I just got all of them for the year and then created a big PGN file. Instead, I thought I would first download all my games and calculate it locally. That is available on Lichess, so I could add all my games from there, but then I would have to analyze each one and I didn’t want to do that. I think I could use the API to go through each game and check the accuracy, but I really wanted the centipawn loss value. In most of my games I checked the accuracy, but not all. I primarily play on and they do not use average centipawn loss. My goal was to not have to manually go over every game, because there were over 600 in 2021! To start with, I needed to get all of my games. A GM may score Average CPL of under 20, a new chess player, 150! Step 1 - Getting All My Games # Instead of coming up with my own definition, I’ll use this one from :Ī centipawn is 100/1th of a single pawn and centipawn loss is a calculation and numerical score given by a chess engine to the difference between the move you actually play against the strongest move available at that time. To cut to the chase, it looks like I’m doing better: I thought I would check all my games for 2021 and see how I improved. But what if I measured my average centipawn loss per game? My rating does not seem to show much change over the last six months. I’ve been trying to figure out a way to measure progress. OwK146NI9k- Pascoe Rapacci January 13, 2022 Should help see through the result / rating change to your true performance. Measuring performance by CPL instead of rating or result is a revelation! I’ve lost games to strong players where I have played well (low CPL), and beaten weaker players and played badly (high CPL).
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