Football techniques and tactics statistics: case study of wyscout analytical system
ˑ:
Dr. Hab., Associate Professor A.A. Polozov1
PhD, Associate Professor A.V. Popovich1
Postgraduate student M.V. Kraev1
1Ural Federal University, Yekaterinburg
Corresponding author: aa.polozov@urfu.ru
Keywords: technical and tactical actions, football, result.
Abstract
Objective of the study was to conduct a correlation analysis to substantiate the independence of evaluation of the game outcome from the increase in the number of registered tactical-technical actions of football players.
Methods and structure of the study. A total of 140 games of the leading championships were analyzed: England, Germany, Spain, Russia, France, and Italy. For each game, the Wyscout report on tactical-technical actions was studied and the total number of tactical-technical actions was calculated. The advantage in tactical-technical actions was assessed by the difference in the total number of tactical-technical actions of both teams. The assessment through the Wyscout Platform involves tactical-technical actions as such and various aggregations that are formed from the correlating characteristics.
Results and conclusions. The analysis of 140 games of the English Premier League, Primera, and Russian Premier League of the 2019/2020 season revealed a negative correlation between the total number of tactical-technical actions and game outcome (r=-0.06). Today, there are at least 10 platforms that count tactical-technical actions in top-level team games. The commercialization of this line of work led to the desire to inflate the amount of tactical-technical actions calculated at the cost of losing the connection between the tactical-technical actions advantage and the game outcome. The authors have previously shown that with the minimum number of factors, the regression equation has the best agreement with the results of the football matches if non-correlating characteristics are taken into account. The negative correlation of the number of tactical-technical actions with the game outcome exhausts the theme of tactical-technical actions, creates a prerequisite for the transition to the game scoring through technical-tactical martial arts, assessed by their cost - impact on the match outcome.
Background. Since 1980 the football analysts have extended the range of the technical and tactical actions subject to analysis [2-5] – from 8 items in the Y.A. Morozov (1980) method [6] to as many as 100 items in the presently popular Instat and Wyscout analytical systems – despite the fact that the higher are the technical and tactical actions numbers, the poorer they are normally correlated with the actual competitive performances.
Objective of the study was to demonstrate, by a correlation analysis, little if any correlation between the formally fixed technical and tactical actions numbers and the actual match results.
Methods and structure of the study. We sampled for analysis 140 matches in championships of England, Germany, Spain, Russia, France and Italy. We analyzed the match technical and tactical actions reports by Wyscout to find the technical and tactical actions totals of the both teams. Then we ranked the matches in a descending order for the match hosts’ advantages in the technical and tactical actions numbers and provisionally split them up into 7 intervals of 20 matches each. The total goals scored in 20 matches of every interval were divided by the goals conceded to find the scoring averages. The scored points were subject to the same analysis: see Tables 1 and 2.
Table 1. Comparative analysis of 140 European championship matches reported by Wyscout
Match |
Nation |
Score |
Difference |
Technical and tactical actions |
Technical and tactical actions |
Technical and tactical actions difference |
Points |
||
Bournemouth |
Man United |
Engl |
1 |
0 |
1 |
844 |
979 |
-135 |
3 |
Arsenal |
Woolverhampton |
Engl |
1 |
1 |
0 |
1045 |
881 |
164 |
1 |
Aston Villa |
Liverpool |
Engl |
1 |
2 |
-1 |
725 |
1198 |
-473 |
0 |
Brighton |
Norwich City |
Engl |
2 |
0 |
2 |
1037 |
858 |
179 |
3 |
Man City |
Southampton |
Engl |
2 |
1 |
1 |
1250 |
707 |
543 |
3 |
Sheffield |
Barnley |
Engl |
3 |
0 |
3 |
852 |
958 |
-106 |
3 |
West Ham |
Newcastle |
Engl |
2 |
3 |
-1 |
1058 |
730 |
328 |
0 |
Watford |
Chelsea |
Engl |
1 |
2 |
-1 |
818 |
1204 |
-386 |
0 |
Crystal Palace |
Lester |
Engl |
0 |
2 |
-2 |
762 |
860 |
-98 |
0 |
Everton |
Tottenham |
Engl |
1 |
1 |
0 |
865 |
910 |
-45 |
1 |
Everton |
West Ham |
Engl |
2 |
0 |
2 |
895 |
857 |
38 |
3 |
Bournemouth |
Norwich City |
Engl |
0 |
0 |
0 |
954 |
987 |
-33 |
1 |
Aston Villa |
Brighton |
Engl |
2 |
1 |
1 |
929 |
902 |
27 |
3 |
Chelsea |
Newcastle |
Engl |
1 |
0 |
1 |
1128 |
739 |
389 |
3 |
Lester |
Barnley |
Engl |
2 |
1 |
1 |
967 |
745 |
222 |
3 |
Tottenham |
Watford |
Engl |
1 |
1 |
0 |
1238 |
823 |
415 |
1 |
Wolverhampton |
Southhampton |
Engl |
1 |
1 |
0 |
950 |
865 |
85 |
1 |
Crystal Palace |
Man City |
Engl |
0 |
2 |
-2 |
723 |
1158 |
-435 |
0 |
Man United |
Liverpool |
Engl |
1 |
1 |
0 |
783 |
1107 |
-324 |
1 |
Sheffield |
Arsenal |
Engl |
1 |
0 |
1 |
750 |
1105 |
-355 |
3 |
Table 2. Key Wyscout indicators ranked by their correlations with the match scores and weight in the regression equation
Indicator |
Regression ratio |
r |
45s-plus ball control |
0,900 |
0,61 |
Long passes |
0,730 |
0,61 |
Average passes per match |
0,655 |
0,52 |
High passes |
0,533 |
0,5 |
Average shots per match |
0,523 |
0,75 |
5-15s ball control |
0,367 |
0,28 |
Ball control in % per match |
0,079 |
0,57 |
Repossessions and interceptions |
0,039 |
0,59 |
Ball losses in the last third |
0,038 |
0,65 |
Average losses per match |
0,015 |
0,34 |
Attacking/ forward passes |
-0,016 |
0,55 |
15-45s ball control |
-0,099 |
0,59 |
Ball control time per match |
-0,278 |
0,46 |
Passes to the last third |
-0,445 |
0,65 |
Contacts in the penalty area |
-0,569 |
0,6 |
Average ball control time |
-1,484 |
0,38 |
We compared the above data with findings of one of the 1995 studies [1, 6] that used equation ∆ = (N (+) - N (-)) / (N (+) + N (-)). Note that for a regression analysis it is recommended to select the parameters with the highest internal correlations. Having processed the data, we arrived at r = 0.81 correlation of the expected points with the actually scored points: Δ = 0.75X1 + 0.71X2 + 0.62X12.
The team advantages in the shots on goal, field control (penetration depth) and repossessions provide a sound basis for the match result forecasts. When the key factors for analysis are minimized, this equation yields the most reliable outcome. Actually the Wyscout analysis offers only two of three most important indicators and, hence, not effective enough in analyzing the defense quality and shots on goal: see Figures 1-4.
Figure 1. Growth of the analyzed technical and tactical actions numbers since 1980
Figure 2. Correlation of the technical and tactical actions numbers with the match results since 1980
The correlation ratio for the scoring advantage and points per match was estimated at r = 0.871. The correlation ratio for the scoring advantage and technical and tactical actions totals for the 2018-2019 championships of England, Spain and Russia (140 matches) was estimated at r = -0.06. And the correlation ratio for the match points and technical and tactical actions totals for the 2018-2019 championships of England, Spain and Russia (140 matches) was estimated at r = -0.052. An attempt to add new technical and tactical actions indicators yielded in a poorer correlation with the match results in fact.
Figure 3. Correlation ratios for the scoring advantages and technical and tactical actions totals for the 2019-20 England and Russia championship matches (n=140)
Figure 4. Correlation ratios for the points scored and technical and tactical actions totals for the 2019-20 England and Russia championship matches (n=140)
It should be emphasized that the technical and tactical actions totals were found virtually non-correlated with the goals scored to goals contended ratios, with the only peak found close to the zero technical and tactical actions total. Paradoxically enough, the hosts’ and guests’ equality in this indicator was found associated with the hosts’ wins; whilst the high advantages in the technical and tactical actions totals were found virtually non-beneficial for the teams: see Table 3.
Table 3. Correlation between the match points and the hosts’ technical and tactical actions advantage for the 2019-20 England and Russia championship matches (n=140)
Hosts’ technical and tactical actions advantage |
Match points |
Difference in scores |
380,85 |
0,67 |
0,92 |
196 |
0,88 |
1,23 |
110,1 |
0,76 |
0,93 |
34,45 |
1,22 |
1,21 |
-47,25 |
2,33 |
2,27 |
-137,35 |
0,88 |
1,08 |
-330,1 |
0,71 |
0,83 |
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