Suzhou ITF Women 25k+ Tennis Tips

Date Match Prediction Expected Yield At Odds Probability Available For Event Level Odds 1 Odds 2
2018-10-17 06:00 GMT Ankita Raina - Jana Cepelova 07h29m Suzhou ITF Women 25k+ 2.55 1.44
2018-10-17 04:30 GMT Arina Rodionova - Zhaoxuan Yang 23h31m Suzhou ITF Women 25k+ 1.31 3.25
2018-10-17 04:30 GMT Fangzhou Liu - Peangtarn Plipuech 07h29m Suzhou ITF Women 25k+ 1.40 2.75
2018-10-17 06:00 GMT Gabriela Dabrowski - Yafan Wang 07h29m Suzhou ITF Women 25k+ 3.50 1.25
2018-10-17 04:30 GMT Haruka Kaji - Julia Glushko 07h29m Suzhou ITF Women 25k+ 4.33 1.20
2018-10-17 04:30 GMT Jia-Jing Lu - Xinyu Jiang 07h29m Suzhou ITF Women 25k+ 1.12 4.90
2018-10-17 03:00 GMT Karman Kaur Thandi - Lin Zhu 23h31m Suzhou ITF Women 25k+ 2.65 1.44
2018-10-17 03:00 GMT Katie Boulter - Misaki Doi 23h31m Suzhou ITF Women 25k+ 1.81 1.92
2018-10-17 03:00 GMT Katie Swan - Jia Qi Ren 23h31m Suzhou ITF Women 25k+ 1.02 10.75
2018-10-17 07:30 GMT Luksika Kumkhum - Fatma Al Nabhani 07h29m Suzhou ITF Women 25k+ 1.12 4.90
2018-10-17 06:00 GMT Saisai Zheng - Yi Yuan 23h31m Suzhou ITF Women 25k+ 1.01 12.18
2018-10-17 07:30 GMT Viktoriya Tomova - Veronika Kudermetova 23h31m Suzhou ITF Women 25k+ 2.23 1.59
2018-10-17 03:00 GMT Ying-Ying Duan - Carol Zhao 23h31m Suzhou ITF Women 25k+ 1.19 4.37

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

Suzhou ITF Women 25k+ 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.