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Team abilities can be static or dynamic\nover weeks or seasons, with alternative specifications of the\nevolution variance: a common variance (Owen, 2011), variance\ninflation after the summer break (Koopman and Lit, 2015)\n, and weighted dynamic models with\ncommensurate priors (Macrì-Demartino, Egidi and Torelli, 2026)\n. Historical team strengths can be\nestimated through a Bayesian Bradley-Terry-Davidson model and\nused as a covariate. For Bayesian methods, it incorporates\nseveral techniques: MCMC sampling with Hamiltonian Monte Carlo,\nvariational inference using either the Pathfinder algorithm or\nAutomatic Differentiation Variational Inference (ADVI), and the\nLaplace approximation. The package compiles all the 'CmdStan'\nmodels once during installation using the 'instantiate'\npackage. 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