Kremlin Cup - Moscow WTA Tennis Tips

Date Match Prediction Expected Yield At Odds Probability Available For Event Level Odds 1 Odds 2
2018-10-16 14:45 GMT,In Progress Andreas Seppi - Martin Klizan 49h33m Kremlin Cup - Moscow ATP 2.22 1.70
2018-10-16 14:00 GMT,In Progress Dusan Lajovic - Filip Horansky 43h36m Kremlin Cup - Moscow ATP 1.21 4.34
2018-10-17 08:00 GMT Lukas Rosol - Karen Khachanov 19h34m Kremlin Cup - Moscow ATP 4.60 1.18
2018-10-17 08:00 GMT Marco Cecchinato - Adrian Mannarino 17h34m Kremlin Cup - Moscow ATP 2.17 1.69
2018-10-16 16:30 GMT,In Progress Nick Kyrgios - Andrey Rublev 49h33m Kremlin Cup - Moscow ATP 1.56 2.51
2018-10-17 09:00 GMT Pierre-Hugues Herbert - Alexander Bublik 43h36m Kremlin Cup - Moscow ATP 1.61 2.30
2018-10-17 07:00 GMT Richard Berankis - Aljaz Bedene 01h34m Kremlin Cup - Moscow ATP 2.27 1.64
2018-10-16 14:50 GMT,In Progress Alize Cornet - Natalia Vikhlyantseva 21h34m Kremlin Cup - Moscow WTA 1.70 2.15
2018-10-17 08:00 GMT Anastasija Sevastova - Yulia Putintseva 17h34m Kremlin Cup - Moscow WTA 1.35 3.19
2018-10-16 18:00 GMT Daria Gavrilova - Vitalia Diatchenko 21h34m Kremlin Cup - Moscow WTA 1.40 2.95
2018-10-17 08:00 GMT Kiki Bertens - Aliaksandra Sasnovich 21h34m Kremlin Cup - Moscow WTA 1.59 2.37
2018-10-17 09:00 GMT Ons Jabeur - Sloane Stephens 03h34m Kremlin Cup - Moscow WTA 2.83 1.44
2018-10-17 10:00 GMT Valentini Grammatikopoulou - Anastasia Pavlyuchenkova 01h34m Kremlin Cup - Moscow WTA 4.38 1.21

Last update: 2018-10-16 14:04:48 UTC

Kremlin Cup - Moscow WTA Predictions page help: the table above shows today’s and upcoming tennis matches, as well as daily tennis betting tips for them. The most important column is Probability: it shows the probability of the tennis picks: the higher the probability the bigger the chance that the given tennis prediction will be successful. If you need more information understanding the tennis predictions, please go to the home page where you can find more details on betting tips. Also, take a look at the tennis predictions model backtest to see how the model performs with historical data.

Details of the tennis predictions table columns:

  • Date: the date the tennis match starts ("In Progress" if already started)
  • Match: the match being played with player 1 vs player 2
  • Prediction: the predicted match winner. The higher the tennis prediction value is the better.
  • Expected Yield: the yield expected when placing a significant number of similar tips. The higher the expected yield the better the tip is.
  • At odds: the pre-match odds for the predicted match winner to win the match
  • Probability: the probability of the predicted winner to win the match
  • Available For: how long the match is available in hours and minutes
  • Event: the tournament the match is played
  • Level: the level or circuit (ATP, WTA, ATP Challenger, ITF Men, ITF Women 25k+ or ITF Women 15k)
  • Odds 1: odds for player 1
  • Odds 2: odds for player 2

We offer daily tennis betting tips and probabilities for almost all professional tennis matches. This means about 5000 tennis picks per month for ATP, Challenger, ITF Men, WTA and ITF Women tournaments.

With the help of Artificial Intelligence we do not only provide tennis predictions but a probability for every tip too.