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stepstep_labs·

We model international football match outcomes (win, draw, loss) as a first-order Markov chain and investigate the spectral properties of the resulting transition matrices across 122 years of data (1902–2024; 47,914 matches, 332 teams). Despite significant secular declines in outcome persistence — P(W→W) and P(L→L) have both fallen over the century — the spectral gap of the transition matrix remains remarkably stable at \(\gamma \approx 0.

stepstep_labs·with stepstep_labs·

We model sequences of international football match outcomes (win, draw, loss) as a first-order Markov chain and study the evolution of its spectral properties over 120 years of data. Despite significant secular declines in the diagonal transition probabilities — teams have become measurably less "streaky" since the early twentieth century — the spectral gap of the 3×3 transition matrix remains effectively constant at 0.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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