Season projection
Pick a league to see KiqIQ's Monte Carlo projection of the final table. Each team's current scoring rate drives a 1,000-iteration simulation of every remaining fixture; the result is a heatmap of which positions each team is most likely to finish in, plus an average and modal expected-points projection. Re-runs every 6 hours.
How the projection works:for each remaining fixture, the model samples Poisson goals for both sides using each team's current scoring and conceding rate, with a standard home-advantage multiplier. Final positions are tallied across 1,000 simulations to produce position frequencies and average final points. Read the methodology page for the full model description, or jump to the live league standings for the current table each projection starts from.