This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Who is pressing?
No detailed data in this league — the pressure index is not guessed.
Match simulation
Model estimate · 20,000 simulations
What the pre-match simulation said
Preparing the simulation…
Before kick-off: Model simulation (20,000 runs): Kazma SC win in 74% of the simulated matches, 16% end level and Sulaibikhat SC win 10%. Average goals 3.0; the most likely score is 2-0 (14%); both teams score in 44%.
Previous meetings and form
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
