Dangerousity

What is dangerousity?

This is a calculation based around the probability of a goal being scored from a certain point in time of play when a player is in possession of the ball

Why is it important?

By obtaining a measured value for this, coaches can use this knowledge to create potential tactics and actions around these positional plays to ultimately create better chances of creating a score

Example Code

A snippet of code showing the data processing, specifically looking at the x and y coordinates to create metrics which are used for the influence of the dangerousity score. These coordinates have been taken from GPS units from each player from each play

##   id_play player_id team clock        x         y         v on_ball
## 1    2240    250267  att  89.6 51.24058  2.879112 3.5332719       0
## 2    2240    260113  att  89.6 72.13534 10.935754 6.2456039       0
## 3    2240    290073  def  89.6 14.11606 -7.475015 3.8921803       0
## 4    2240    290641  att  89.6 19.88332 38.113330 2.2281301       0
## 5    2240    290797  def  89.6 66.94921 17.038943 0.7671663       0
## 6    2240    291492  def  89.6 23.31737 37.820513 1.4287466       0
##     play_phase
## 1 GENERAL_PLAY
## 2 GENERAL_PLAY
## 3 GENERAL_PLAY
## 4 GENERAL_PLAY
## 5 GENERAL_PLAY
## 6 GENERAL_PLAY

Calculating Dangerousity

Formula

Values such as Pressure and Control need to be calculated

From some data wrangling and cleaning. Using the GPS data, two metrics that i have looked at for this example are DISTANCE FROM GOAL and NUMBER OF DEFENDERS AHEAD as a way of deriving a figure and will influence the overall score.

Top 10 dangerousity scores with each play

## # A tibble: 102 × 2
## # Groups:   id_play [102]
##    id_play each_player_dangerousity_score
##      <int>                          <dbl>
##  1    2050                           5.83
##  2    8929                           5.70
##  3   12995                           5.24
##  4    6970                           5.21
##  5    6253                           5.08
##  6    1263                           4.97
##  7   23336                           4.95
##  8   19967                           4.90
##  9   20556                           4.72
## 10   25659                           4.65
## # ℹ 92 more rows

MOST DANGEROUS PLAY

Bottom 10 dangerousity scores with each play

## # A tibble: 102 × 2
## # Groups:   id_play [102]
##    id_play each_player_dangerousity_score
##      <int>                          <dbl>
##  1   22365                           2.12
##  2   33302                           2.24
##  3   34417                           2.37
##  4     400                           2.45
##  5    1275                           2.48
##  6   30905                           2.48
##  7   19594                           2.53
##  8     572                           2.54
##  9     525                           2.56
## 10    8431                           2.66
## # ℹ 92 more rows

LEAST DANGEROUS PLAY