25 lines
1.5 KiB
Markdown
25 lines
1.5 KiB
Markdown
# Football-Analytics
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A visualization and predictive analytics which uses [statsbomb](https://github.com/statsbomb/open-data) data to visualizes metrics like shot location, through ball pass, passmap, heatmap of a player, xG of a shoot
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## PassMap.ipynb
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Contains the passes by a player and heatmap for the same
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## Through_Ball.ipynb
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pass collection of which were classification of through ball and which are assists
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## predict_Xg.ipynb
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A WIP module which calculates the probability of a shot being a goal.
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## shot_mapping.ipynb
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Mapping of where a shot had been taken from
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## 11tegen11 position map.ipynb
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Average touch position of 11 starting players
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## Dribbles by player and season.ipynb
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plots number of dribbles by a player in certain part of pitch and above certain threshold time and length(dribble)
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## Squad age Profile.ipynb
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a Scatter plot which visualises players' Age vs minutes played data from [soccerway](https://us.soccerway.com) inspired from [petermckeever's](petermckeever.com/2019/04/creating-squad-age-profiles/) work
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## 11tegen11gif.ipynb
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A interactive gif passmap is created for a frequency of every 5 minutes across both half
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## MovingAvg.ipynb
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A Ipynb which plots moving 5 average and compares a bunch of metric from csv taken from [fbref](http://fbref.com/) inspired from [statsbomb](https://statsbomb.com/) and [Jose Perez](https://twitter.com/jcperez_/status/1203876153632677888) tweet
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##PassClusters.ipynb
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Code which clusters a player's passes into 25(configurable) buckets using K-means
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##BDOviz.ipynb
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Code to visualize the BDO votes recieved by players
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