In tennis, the outcome of a match can be modelled by first estimating the probability of a player winning an individual set. This setβwin probability depends on the playerβs ability to win points on serve and on return, and can be derived from Markovβchain models of games and tieβbreaks.
Once the set probability (denoted (P_{set})) is known, the match probability follows a binomial distribution because a match is essentially a series of independent set outcomes. For a bestβofβ3 match the player must win two sets, while a bestβofβ5 match requires three set wins.
The calculator below uses these principles to convert a userβprovided setβwin probability into an overall matchβwin probability for the chosen format.
How do I calculate the probability of winning a tennis match?
What factors affect the set win probability in tennis?
Can this calculator be used for matches other than best-of-3?
What is the role of Markov-chain models in tennis probability calculations?
How accurate are these probability calculations for real matches?
Can I use this calculator to compare two players’ match probabilities?
What is a tie-break in tennis, and how does it affect the set probability?
Results are for informational purposes only and do not constitute professional advice.
