BCAS - Brazilian Championship A-Series

This is the repository for the BCAS (Brazilian Championship A-Series). It contains the matches with date/hour, host team, score, visiting team. More details on ResearchGate.

Files (OBS: all files must be ANSI):

• /

  • ranking-2003-YEAR.txt -- official rankings for BCAS
  • matches-2003-YEAR.txt -- all matches played from 2003 to YEAR in BCAS
  • average-attendance-2003-2019.txt -- average attendance (average number of supporters in stadia) for all teams in BCAS from 2003 to 2019 (only)
  • process/ -- contains the Perl, C, batch, MS-Excel files
    • do-mc.pl -- this is the main Perl script, the one that does all the process described in the paper
    • do-all.bat -- runs many years in parallel (use with caution, your CPU may use all cores at once)
    • do-validation.pl -- this script runs the validation, i.e., it compares official ranking and statistics with my dataset (this is just an auxiliary process)
    • vector-matrix-product-file.c -- performs the Vector-Matrix Product (VMP) to compute the probability vector for each team
    • spreadsheets/ -- statistical analysis files (auxiliary file, for computing some of BCAS statistics described in the paper)
      • Analysis.xlsx
      • Results-All.xlsx
      • Simple-MC.xlsx
      • Simple-MC-new-method.xlsx
    • output/ -- generated script output and analysis files

• Download Perl (5.28)

• Run:

  • PROMPT: perl do-mc.pl 2006
    • this will execute the process for year 2006 (Y=2006) generating several files in the output/ folder

How to create a new analysis session

The idea is to be able to change parameters and inspect generated output for insight.

1. Change parameters in script do-mc.pl YEAR (YEAR is the command line parameter):

The following set of parameters may be changed:

• M: number of matches to analyse (as M is close to 1, less information will be used to count the frequencies between states)
• W: window size (from 2 to 19, however, if 19 is chosen, the frequency will be very low)
• O: overlap between windows (it is currently set to go from zero to (W-1)

There is one constant that you should consider: $METHOD = 2; (it is currently using the modified DTMC instead of standard DTMC)

2. Run the script for a year:

PROMPT: perl do-mc.pl 2010

3. Observe output in folder ./output/

• the following files will be generated:
  • ./output/all-2010.txt --> this is the file with ALL results
  • ./output/dtmc-2010.txt --> file with all team's DTMC (Discrete Time Markov Chain)
  • ./output/ctmc-2010.txt --> file with all team's CTMC (Continuous Time Markov Chain)
  • ./output/mc-only-states-2010.txt --> shows only the observed states for each team for that year (it could be used to derive another prediction technique)

4. Use MS-Excel or similar software to analyse generated output

• Look at folder ./spreadsheets/ for examples

How to cite this dataset

Czekster, Ricardo M. (2023), Brazilian Championship A-Series, Kaggle Dataset DOI: 10.34740/kaggle/ds/1050099

How to cite this work

Czekster, Ricardo M. (2020), Predicting Brazilian Football Championship first and last four teams between 2006 to 2019 since mid-season, Jan/2020 (non peer reviewed pre-print), DOI: 10.13140/RG.2.2.33748.96646/2

Link to ResearchGate