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**Methods for Forecasting Style of Play in Soccer**

Opposition Analysis: Methods for Forecasting Style of Play in Soccer Devin Pleuler Manager of Analytics Toronto Football Club Bret Myers Analytics Consultant Toronto Football Club Villanova University

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**Provide data-driven tactical insight**

Motivations Provide data-driven tactical insight

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The Data

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Pass Components

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**k-Means Clustering (in python)**

from sklearn.cluster import KMeans model = KMeans(n_clusters=50).fit(training_data) for pass in test_data: cluster = model.predict(pass) n = 214,340

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Example Cluster

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Example Clusters

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**Average Position of Clusters**

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Cluster Symmetry

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**Pass Volume Distribution**

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**Team Passes per Cluster**

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**Can past tactics predict future tactics?**

Is this predictive? Can past tactics predict future tactics? (and how do we measure it?)

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Is this predictive? Game Number

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**Mean absolute percentage error**

Is this predictive? where At is the actual value and Ft is the forecast value. Mean absolute percentage error

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Is this predictive?

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**(Pearson Correlation)**

Team Similarity (Pearson Correlation)

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Example Team Clusters

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Example Team Clusters

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Example Team Clusters

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**Chaining Passes into Sequences**

What’s Next? Chaining Passes into Sequences

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Pass Chaining

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Pass Chaining

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**Individual Player Tendencies**

What Else is Next? Individual Player Tendencies

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**Individual Player Tendencies**

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Thanks!

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