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CHANGELOG.md

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Changelog

v0.0.1 (24/01/2023)

  • First release of databallpy!

v0.1.0 (10/02/2023)

  • First version of databallpy with utilities! You can now read in data from tracab and opta and create short videos of the tracking data!

v0.1.1 (10/02/2023)

  • Hot fix to make documentation visible.

v0.2.0 (10/03/2023)

  • Added parser for Metrica, including an open dataset
  • Added functionality to synchronize tracking and event data
  • Added functionality to plot events
  • Fixed bug, now both tracking and event data are normalized in direction
  • Fixed unexpected behaviour, all date related objects are now datetime objects

V0.3.0 (02/06/2023)

  • Added way to save Match objects, and to load saved Match objects
  • Fixed bug in opta event data, own goals are now parsed as seperate event type
  • Added parser for Inmotio tracking data
  • Added parser for Instat event data
  • Added quality checks for the data, raises warning if quality is not good enough

V0.4.0 (21/09/2023)

  • Added databallpy_events to get a unified type of event data
  • Added individual player possessions (Adrienko et al., 2016)
  • Added pressure feature (Herrold et al., 2022)
  • Added differentiate features with filters
  • Optimized loading in tracab tracking data
  • In quality checks, fixed some minor bugs.

V0.4.1 (10/10/2023)

  • Fixed bugs with reading in tracab data in special cases
  • Fixed bus with reading in opta data in special cases
  • Added tracking data passes features
  • Added tracking data shot features
  • optimized performance of processing data

V0.4.2 (27/10/2023)

  • fixed bug in get_valid_gains (player possessions)
  • Changed 'period' to 'period_id' in all tracking and event dataframes
  • Solved bug with reading in timestamps for Opta
  • Made get_opponents_in_passing_lane more robust.
  • Made function to automatically check if the proposed start and end frames are reliable, adjusts it if this is not the case
  • Fixed bug in normalize_playing_direction
  • Added an offset to the alignment in datetimes between tracking and event data
  • Added extra sanity checks for the ball status of the tracking data
  • Set "smart" as default for synchronising the tracking and event data
  • Added check if datetime of tracking and event data are not close enough
  • Added extra tests for the code
  • Added extra metadata to the Match object on which periods the player positions were normalized

V0.4.3 (15/1/2024)

  • Added simple expected goals (xG) model
  • Added anonimisation function
  • Added pitch control model
  • Fixed minor bugs
  • Added logging possibilities
  • Refactor of file structure and folder naming

V0.5.0 (30/07/2024)

  • Added event data parser for SciSports
  • Added expected threat model from Karun Singh to on ball events
  • Add function to add which team has ball possession based on the synchronised event data.
  • Solved encoding bug for Windows
  • Added function to obtain acceleration
  • Improved standardization and performance of synchronisation
  • Made save match clip more robust
  • Added function to calculate covered distances in different velocity and acceleration zones
  • Updated the documentation

V0.5.1 (10/10/2024)

  • Added support for numpy 2.x
  • Fixed bug in calculating covered distances when no accelerations are present
  • Fixed bug in rare cases where _filter_data does not work as expected and returns errors
  • Fixed bug in match.add_tracking_data_features_to_shots, did not update properly after last release

V0.5.2 (15/11/2024)

  • Added match.get_column_ids with filters for team, player positions and minimal minutes played filters.
  • Added parser for DFL/Sportec Solutions event data
  • Added parser for Tracab xml format, used by DFL and Sportec solutions
  • Added integration for open data from DFL (open sourced by Bassek et al.)

Breaking changes

  • From now on, match.home_players_column_ids() and match.away_players_column_ids() are depreciated and will be removed in V0.7.0. Please use match.get_column_ids() in future version.
  • get_open_match() will now, by default, load in match J03WMX (1. FC Köln vs. FC Bayern München) instead of the anonimysed match from Metrica. To load in the metrica match, please parse provider="metrica" in the key word arguments.

new version

  • Added StatsBomb event data as provider (by DaanGro)