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Tennis fauteuil

Tennis fauteuil
le 29/05/2016 à 17h57
1 min to read
Houdet Kunieda Peifer

La France de Houdet (n°1) et Peifer (n°3) sacrée championne du Monde face au Japon emmené par Kunieda (n°5) et Sanada.

Stephane Houdet
Non classé
Shingo Kunieda
Non classé
Nicolas Peifer
Non classé
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21h

As much as I love watching Alcaraz at his best, I'd love to see Alex taking this, he's such a tryer, and getting married and his humour and humility...

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1j

Favoritism?

Last year: Sinner seed 1, the organizers schedule Alcaraz on day 1, Sinner on day 2.

This year: Alcaraz seed 1, the organizers schedule Alcaraz on day 1, Sinner on day 3.

That means: 7 matches in 15 days for Alcaraz, 7 in 13 days for Sinner; and no rest day for Sinner between quarter and semis, 1 full day rest for Alcaraz.

Also, on the first very hot day, the organizers schedule Sinner...

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2j

Did any of you predict on the Kwon match in Phan thirty against Michalski?

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5j

TT- Your pop up ads almost make the app unusable.

FYI- Ive never bought a single item from any of them after years of using your app, a goal that started as short term but has developed into long term.

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2 1 comments
7j

Why is the Dzumer v draxl match canceled. Dzumer won. I would have gotten points. Tennis temple, if you dont get your act together more and more people are going to leave this app

1
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Investigations + All
Andy Murray's Australian Open Nightmare: 5 Lost Finals and a Career Left Unfulfilled Andy Murray's Australian Open Nightmare: 5 Lost Finals and a Career Left Unfulfilled Nadal's Epic Comeback: From Injury Doubts to Record 21st Slam at 2022 Australian Open Nadal's Epic Comeback: From Injury Doubts to Record 21st Slam at 2022 Australian Open Novak Djokovic's Australian Open Dominance: 10 Titles Across Three Decades Novak Djokovic's Australian Open Dominance: 10 Titles Across Three Decades Why Modern Tennis Feels More Predictable: 20 Years of Slower Courts, Heavier Balls, and Optimized Athletes Why Modern Tennis Feels More Predictable: 20 Years of Slower Courts, Heavier Balls, and Optimized Athletes
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