Scinovex
article

Statistical performance of Ethiopian football national team and its success prediction capacity (The 4th Africans championship (CHAN): Rwanda 2016

Abstract

This research has been carried out to evaluate Ethiopian national football team statistical performance and to identify the playing style. In addition, the research was also aimed to assess the extent to which statistical performance in possession, passing, passing effectiveness, crosses, successful crosses and on-target shoots as a parameter to predict the likelihood of success. Sometimes statistical figures may predict or correlate with success and sometimes these figures may not predict success. Therefore it was hypothesized that, Ethiopians would have a better statistical performance in possession, passing, passing effectiveness, crosses and on-target shots. And also it was predicted as there will not be relationship between the above parameters statistical and success. For this 3 games were analyzed objectively by having frequency count and percentage as a statistical approach. Finally it was found that Ethiopian football team was found poor in the statistics of possession, passing, passing effectiveness and on-target shots. It was not possible to have saying about which style Ethiopian side used. However, as commonly found with the analysis of recent FIFA world cups, statistical performance in the analyzed games can predict success. Finally, for Ethiopian football team, it is highly recommended to have a well-defined approach or style of play so that players and teams can work accordingly. For this a proactive kind of football is better recommended.

Sports Analytics and PerformanceSports Performance and TrainingFootballPossession (linguistics)ChampionshipFootball teamStatistical analysisStyle (visual arts)PsychologyApplied psychologyStatisticsAdvertising
Citations
2
FWCI
0.00
field-weighted impact
References
0
Percentile
19%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.