Football

Football analysis

Today we analysis is particularly the game that awaits us that's Manchester city Vs Real Madrid.

We uses the clustering in analyzing the match using the players behavior using their goals,assist and play of the each players.we ended up with 3 clusters meaning three mean clusters by using the two methods of the dterming k means.

Wss method of determining k means

Silhouette Method for determining k means

Cluster One: High goal-scoring, moderate assisting, very high playing involvement (considered premium).

Cluster Two: Moderate goal-scoring, moderate assisting, high playing involvement.

Cluster Three:Lower goals scoring,lower Assist and also lower Playing involvement

Players in each cluster

Cluster One:Haaland,Alvarez,Foden,Rodrygo, Bellingham and Vinicious.

Cluster Two:Akanji,B.silva,Rodri,Doku,R dias,Lewis,Grealish,Matheau,Valvalde,Camavinga, Vasquez,Brahim dias and Josule.

Cluster Three:Philips,Hamilton,De bruyne,Gvradiol,Bobb,Stones,Alaba,Garcia,Ceballos, and Paz.

From the above data it shows from cluster one each clubs took equal number of players.cluster two which is the second most favourable favours Manchester city taking the most of the players and cluster three which has the lower rate of playing behavior give Real Madrid the most of players in it.
by the statistics above it shows that if the players are set into the squad then Sorry for Real Madrid because Manchester city are the favourite here.

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