πΎ Interesting pick from Paul vs Bergs!
π Bergs +2.5 Games
Our model:
β’ Win probability: 48%
β’ Fair odds: 2.08
β’ Pinnacle odds: 2.14
π The available odds are 2.9% above our fair price.
Full analysis π
https://t.co/wOEFgUT2rr
#Tennis#TennisStats#TennisForesight
π The sharp books moved. Has your bookmaker?
When a tennis price drops at the sharpest bookmakers, the soft books often follow a moment later. Our new Soft price still highfilter shows the selections where a soft book is still above the new sharp price: ATP, WTA, Challenger and ITF, refreshed every minute.
π https://t.co/qaR8JYcGQK
18+ Β· Market information, not tips. Prices can change within seconds. Please gamble responsibly.
@tennismasterr Interesting pick! π
Our TennisForesight model gives Bublik just a 21.9% chance of winning.
π Fair odds: 4.57
π° Market odds: 3.38
We actually see value on Zverev at 1.39 (fair odds 1.28).
https://t.co/wOEFgUT2rr
πΎ Two players. Two different playing styles.
π₯ Aggression
π― Accuracy
π₯ Net play
πͺ Serve
Compare your favourite players with TennisForesight.
π https://t.co/wOEFgUT2rr
#TennisAnalytics#Tennistv
@godblessbets Interesting pick! ππΎ
Our TennisForesight model gives Bublik +1.5 sets a 44% probability, meaning weβd need odds of at least 2.26 to consider it value.
At 1.89, the price is simply too low according to our model. π
@BettingOnTenis Interesting pick! π
Our TennisForesight model gives Bublik +1.5 sets just a 41% chance.
π Our fair odds: 2.41
π° Market odds: 1.83
We actually see more value in Zverev -1.5 sets at 2.08 (fair odds 1.71).
https://t.co/wOEFgUT2rr
@Tiempodetenis1 πΎ Our TennisForesight model is even more confident in Zverev!
π Kalshi: 73%
π TennisForesight: 80.5%
Interesting 7.5 percentage point difference π
https://t.co/wOEFgUT2rr
πΎ Zverev vs Bublik | ATP Shanghai
π Our model:
Zverev β 80.5%
Bublik β 19.5%
π° Zverev odds: 1.38
π― Our fair odds: 1.24
Our model sees value in Zverev at the current price.
π https://t.co/wOEFgUT2rr
@BlinkBets Interesting take! ππΎ
Our TennisForesight model actually favours Sonmez with a 54.6% win probability.
π Putintseva: 45.4%
π Sonmez: 54.6%
Sonmez @ 2.06 vs our fair odds of 1.83.
Different models, different conclusions!
π Our model favours De Minaur:
π¦πΊ De Minaur β 59.3%
π·πΊ Khachanov β 40.7%
π° Market odds: 1.87
π― Our fair odds: 1.69
Our model sees value in De Minaur! π
https://t.co/sK2liLuGJK
#ATP#ShanghaiMasters#Tennis
Giovanni Mpetshi Perricardβs serve is ridiculous. ππΎ
But how impressive are his numbers compared to the average player?
We took a closer look using TennisForesight data. ππ
Interesting picks! ππΎ
Our TennisForesight model actually sees value on the opposite side of two of these matches:
πΎ Simakin vs Landaluce β 50.1% win probability, odds 2.37
πΎ Sun vs Cui β 55.2% win probability, odds 2.06
Two interesting disagreements between our model and your predictions! π
@SoyChristian@2@1 Interesting analysis! ππΎ
Our TennisForesight model actually favours Sun with a 55.2% win probability.
At odds of 2.06, our model sees +13.7% expected value on Sun! π
Hereβs what our numbers say π
@UKTennisPlays9 Our model disagrees with your second pick as well! ππΎ
TennisForesight gives Felix Gill a 65.8% chance of beating Piraino, with fair odds of 1.52.
At 1.58, Gill offers +4% expected value according to our model! π
@UKTennisPlays9 Interesting pick, but our model sees value on the other side! ππΎ
TennisForesight gives Kolar a 54.1% chance of beating Forti, with fair odds of 1.85.
Kolar is available at 2.01, offering +8.7% expected value according to our model! π
@cajun_vegas Our model agrees with you on Simakin! ππΎ
TennisForesight gives him a 50.1% win probability against Landaluce, with fair odds of 2.00.
At 2.37, thatβs +18.7% expected value according to our model! ππ₯
Check out https://t.co/sK2liLvezi for more value odds!
@SetPointBets Svrcina has a 16.1% win probability, with fair odds of 6.21. At 7.00, thatβs a +12.7% expected value! π
Medvedev is the clear favourite, but Svrcina could still offer value at the right price.