Skip to main content

Gets the player performance and rating change from the tournament.

Project description

Player Performance

Calculate a player's Elo performance rating and Elo rating change based from the given pgn file.

It is a command line program that takes the player name and pgn file as input. The games in the pgn file must have a WhiteElo and BlackElo tags. There are 2 sample pgn files under the pgn folder in this repository.

Installation

  • Install python version >= 3.7 from python site.

  • Install player-performance package from pypi with the following command from command line.
    pip install -U player-performance

This package is dependent on python chess and pandas libraries. These libararies are automatically installed when player-performance is installed.

Help

Command line:

performance --help

usage: performance [-h] --player-name PLAYER_NAME [--input-pgnfile INPUT_PGNFILE] [--dev-coefficient DEV_COEFFICIENT] [-v]

Get player performance.

options:
  -h, --help            show this help message and exit
  --player-name PLAYER_NAME
                        input player name, example: --player-name "So , Wesley"
  --input-pgnfile INPUT_PGNFILE
                        input pgn file, example: --input-pgnfile "olym22.pgn"
  --dev-coefficient DEV_COEFFICIENT
                        the K or development coefficent to use, default=10, example: --dev-coefficient 10
  -v, --version         show program's version number and exit

Run from command line

Sample 1

performance --player-name "Abdusattorov, Nodirbek" --input-pgnfile "olym22.pgn"
Output
Event : 44th Olympiad 2022
Date  : 2022.08.09

                    MyName  MyRating                  OppName  OppRating  MyScore  MyRChange
0   Abdusattorov, Nodirbek      2688  Chaulagain, Purushottam       1975      1.0       0.16
1   Abdusattorov, Nodirbek      2688         Ziska, Helgi Dam       2549      1.0       3.10
2   Abdusattorov, Nodirbek      2688           Sebenik, Matej       2512      1.0       2.66
3   Abdusattorov, Nodirbek      2688         Caruana, Fabiano       2783      1.0       6.33
4   Abdusattorov, Nodirbek      2688           Pechac, Jergus       2594      1.0       3.68
5   Abdusattorov, Nodirbek      2688     Harikrishna, Pentala       2720      0.0      -4.54
6   Abdusattorov, Nodirbek      2688          Cordova, Emilio       2549      1.0       3.10
7   Abdusattorov, Nodirbek      2688          Keymer, Vincent       2686      0.5      -0.03
8   Abdusattorov, Nodirbek      2688      Sargissian, Gabriel       2698      0.5       0.14
9   Abdusattorov, Nodirbek      2688                Gukesh, D       2684      1.0       4.94
10  Abdusattorov, Nodirbek      2688              Giri, Anish       2760      0.5       1.02

My name                    : Abdusattorov, Nodirbek
My Score                   : 0.77 in 8.5 / 11 games
My Opponent Average Rating : 2592
My Rating Change           : 20.56
My Performance Rating by logistic function : 2804
My Performance Rating by FIDE table        : 2803

Sample 2

performance --player-name "Carlsen, Magnus" --input-pgnfile ./pgn/olym22.pgn
Output
            MyName  MyRating               OppName  OppRating  MyScore  MyRChange
0  Carlsen, Magnus      2864          Meier, Georg       2613      1.0       1.91
1  Carlsen, Magnus      2864     Vocaturo, Daniele       2616      0.5      -3.07
2  Carlsen, Magnus      2864  Batsuren, Dambasuren       2518      1.0       1.20
3  Carlsen, Magnus      2864        Bwalya, Gillan       2396      1.0       0.63
4  Carlsen, Magnus      2864        Smirnov, Anton       2600      1.0       1.80
5  Carlsen, Magnus      2864    Stanojoski, Zvonko       2412      1.0       0.69
6  Carlsen, Magnus      2864        Pechac, Jergus       2594      0.5      -3.26
7  Carlsen, Magnus      2864    Megaranto, Susanto       2529      1.0       1.27
8  Carlsen, Magnus      2864         Schitco, Ivan       2490      0.5      -3.96

My name: Carlsen, Magnus
My Score: 0.83 in 7.5 / 9 games
My Opponent Average Rating: 2530
My Rating Change: -2.79
My Performance Rating by logistic function : 2809
My Performance Rating by FIDE table        : 2803

Sample 3

performance --player-name "So, Wesley" --input-pgnfile ./pgn/olym22.pgn
Output
       MyName  MyRating                    OppName  OppRating  MyScore  MyRChange
0  So, Wesley      2773             Miguel, Sergio       2274      1.0       0.54
1  So, Wesley      2773    Delgado Ramirez, Neuris       2614      0.5      -2.14
2  So, Wesley      2773         Sindarov, Javokhir       2629      1.0       3.04
3  So, Wesley      2773               Smirin, Ilia       2601      0.5      -2.29
4  So, Wesley      2773               Idani, Pouya       2641      0.5      -1.81
5  So, Wesley      2773           Melkumyan, Hrant       2634      1.0       3.10
6  So, Wesley      2773          Praggnanandhaa, R       2648      0.5      -1.73
7  So, Wesley      2773  Mastrovasilis, Athanasios       2527      1.0       1.95
8  So, Wesley      2773                  Can, Emre       2606      0.5      -2.23
9  So, Wesley      2773    Vidit, Santosh Gujrathi       2714      0.5      -0.84

My name: So, Wesley
My Score: 0.7 in 7.0 / 10 games 
My Opponent Average Rating: 2589
My Rating Change: -2.41
My Performance Rating by logistic function : 2736
My Performance Rating by FIDE table        : 2738

Sample 4

performance --player-name "Barcenilla, Rogelio" --input-pgnfile ./pgn/olym22.pgn
output
                MyName  MyRating                     OppName  OppRating  MyScore  MyRChange
0  Barcenilla, Rogelio      2463             Guseinov, Gadir       2668      0.0      -2.35
1  Barcenilla, Rogelio      2463       Isaakidis, Alexandros       2165      1.0       1.52
2  Barcenilla, Rogelio      2463          Dornbusch, Tatiana       2247      0.5      -2.76
3  Barcenilla, Rogelio      2463               Nabaty, Tamir       2631      1.0       7.25
4  Barcenilla, Rogelio      2463              Piorun, Kacper       2636      0.5       2.30
5  Barcenilla, Rogelio      2463          Theodorou, Nikolas       2575      0.0      -3.44
6  Barcenilla, Rogelio      2463  Lorenzana, Wilson Estuardo       2182      1.0       1.66

My name: Barcenilla, Rogelio
My Score: 0.57 in 4.0 / 7 games
My Opponent Average Rating: 2443
My Rating Change: 4.18
My Performance Rating by logistic function : 2493
My Performance Rating by FIDE table        : 2493

Sample 5

performance --player-name "Gukesh, D" --input-pgnfile ./pgn/olym22.pgn
Output
       MyName  MyRating                          OppName  OppRating  MyScore  MyRChange
0   Gukesh, D      2684                 Al Hosani, Omran       2215      1.0       0.63
1   Gukesh, D      2684                      Kiik, Kalle       2365      1.0       1.37
2   Gukesh, D      2684                 Georgiadis, Nico       2578      1.0       3.52
3   Gukesh, D      2684                Vocaturo, Daniele       2616      1.0       4.03
4   Gukesh, D      2684                   Shirov, Alexei       2704      1.0       5.29
5   Gukesh, D      2684              Sargissian, Gabriel       2698      1.0       5.20
6   Gukesh, D      2684  Albornoz Cabrera, Carlos Daniel       2566      1.0       3.36
7   Gukesh, D      2684                 Caruana, Fabiano       2783      1.0       6.39
8   Gukesh, D      2684           Mamedyarov, Shakhriyar       2759      0.5       1.06
9   Gukesh, D      2684           Abdusattorov, Nodirbek       2688      0.0      -4.94
10  Gukesh, D      2684                  Keymer, Vincent       2686      0.5       0.03

My name: Gukesh, D
My Score: 0.82 in 9.0 / 11 games
My Opponent Average Rating: 2605
My Rating Change: 25.94
My Performance Rating by logistic function : 2867
My Performance Rating by FIDE table        : 2867

Sample 6

performance --player-name "Vachier-Lagrave, Maxime" --input-pgnfile ./pgn/stlrap22.pgn
Event : Saint Louis Rapid 2022
Date  : 2022.08.28

                    MyName  MyRating                   OppName  OppRating  MyScore  MyRChange
0  Vachier-Lagrave, Maxime      2757            Aronian, Levon       2775      0.5       0.26
1  Vachier-Lagrave, Maxime      2757       Nepomniachtchi, Ian       2792      0.5       0.50
2  Vachier-Lagrave, Maxime      2757    Mamedyarov, Shakhriyar       2758      1.0       5.01
3  Vachier-Lagrave, Maxime      2757          Nakamura, Hikaru       2768      0.5       0.16
4  Vachier-Lagrave, Maxime      2757            Shankland, Sam       2720      0.5      -0.53
5  Vachier-Lagrave, Maxime      2757            Xiong, Jeffery       2690      0.5      -0.95
6  Vachier-Lagrave, Maxime      2757          Caruana, Fabiano       2776      1.0       5.27
7  Vachier-Lagrave, Maxime      2757  Dominguez Perez, Leinier       2754      0.5      -0.04
8  Vachier-Lagrave, Maxime      2757         Firouzja, Alireza       2778      0.5       0.30

My name                    : Vachier-Lagrave, Maxime
My Score                   : 0.61 in 5.5 / 9 games
My Opponent Average Rating : 2757
My Rating Change           : 9.98
My Performance Rating by logistic function : 2835
My Performance Rating by FIDE table        : 2837

Download the whole repository

You can download all files in this repository that includes the pgn files under the pgn folder.

Command line:

git clone https://github.com/fsmosca/player-performance.git

Change log

version 0.3.0 [2022-09-22]

  • Add event and date info in the output.
  • Add performance rating using FIDE table in the console output.

version 0.2.0 [2022-08-14]

  • Add --dev-coefficient option as K

version 0.1.0 [2022-08-14]

  • Implement the Elo performance rating calculation
  • Implement the Elo rating change calculation

Credits

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

player-performance-0.3.0.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

player_performance-0.3.0-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file player-performance-0.3.0.tar.gz.

File metadata

  • Download URL: player-performance-0.3.0.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for player-performance-0.3.0.tar.gz
Algorithm Hash digest
SHA256 0a854438c8f157a5b6ff69fa58582ec1ee87a870dec3fddad081a9aa580e3025
MD5 bbe67c1a26607a3e284c6553f7a72c4b
BLAKE2b-256 66bebed74d428666e87000d457b14ed633e84263437d603f7fcf71d4eee362e8

See more details on using hashes here.

File details

Details for the file player_performance-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for player_performance-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 14c65c7bde1f7f0e5f7f415520c62d1c71b1da443222da50a1c15ae2d49d4ca0
MD5 4acf931c8f9fe406f3aa27b478a1bd8c
BLAKE2b-256 f6b34fda036a8cd0bddda5e712d9041784da48d8f697a6b802ffd96f7fedd4c1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page