USA F25 (Laguna Niguel) ITF Men Tennis Tips

Date Match Prediction Expected Yield At Odds Probability Available For Event Level Odds 1 Odds 2
2018-09-19 19:30 GMT Alan Kohen - Samuel Shropshire 12h04m USA F25 (Laguna Niguel) ITF Men 2.40 1.47
2018-09-19 19:30 GMT Alec Adamson - Henry Craig 12h04m USA F25 (Laguna Niguel) ITF Men 2.32 1.55
2018-09-19 22:30 GMT Brandon Nakashima - Valentin Vacherot 12h04m USA F25 (Laguna Niguel) ITF Men 1.40 2.75
2018-09-19 21:00 GMT Dominik Kellovsky - Tyler Mercier 12h04m USA F25 (Laguna Niguel) ITF Men 1.08 7.30
2018-09-19 18:00 GMT Emilio Nava - Igor Gimenez 12h04m USA F25 (Laguna Niguel) ITF Men 2.10 1.70
2018-09-19 21:00 GMT Filip Kraljevic - Michael Zhu 12h04m USA F25 (Laguna Niguel) ITF Men 3.96 1.23
2018-09-19 19:30 GMT Isaiah Strode - Paul Oosterbaan 12h04m USA F25 (Laguna Niguel) ITF Men 2.73 1.41
2018-09-19 19:30 GMT Jeremy Sonkin - Justin Roberts 12h04m USA F25 (Laguna Niguel) ITF Men 1.51 2.49
2018-09-19 18:00 GMT Joao Lucas Reis Da Silva - Korey Lovett 12h04m USA F25 (Laguna Niguel) ITF Men 1.26 3.70
2018-09-19 18:00 GMT Milen Ianakiev - Govind Nanda 12h04m USA F25 (Laguna Niguel) ITF Men 2.91 1.35
2018-09-19 21:00 GMT Oleksiy Arovin - Jacob Brumm 12h04m USA F25 (Laguna Niguel) ITF Men 5.37 1.12
2018-09-19 21:00 GMT Takuto Niki - Zachary Svajda 12h04m USA F25 (Laguna Niguel) ITF Men 1.23 3.96
2018-09-19 18:00 GMT Tim Ruehl - Martin Redlicki 12h04m USA F25 (Laguna Niguel) ITF Men 4.00 1.22

Last update: 2018-09-19 09:36:26 UTC

USA F25 (Laguna Niguel) ITF Men 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.