Rebecca Sramkova vs Noemi Basiletti

WTA Kingdom Wrexham (X) (United Kingdom), Indoors. Wednesday, October 28, 2026, 02:00.

Updated

Tennis Gauge's model favors Rebecca Sramkova, giving them a 73% chance to win against Noemi Basiletti (27%). Rebecca Sramkova leads 1-0 in their head-to-head. Sramkova is 7-3 in their last 10, Basiletti 6-4.

This preview is from Wednesday, October 28, 2026. The result isn't in the database yet.

Pre-match prediction

The model makes Rebecca Sramkova a 73% favorite. The odds and the model roughly agree, so neither side shows value.

Model
73%
Book
87%

Model minus book: -14 pts

Model
27%
Book
29%

Model minus book: -1 pts

Model estimates, not betting advice. How the numbers work · Expected value of Rebecca Sramkova at -667 · Model track record

Player comparison

Rebecca SramkovaNoemi Basiletti
Tennis Gauge rating69046750
Tour rankWTA #115WTA #243
Last 10 matches7-36-4
Last 30 days6-01-1
Current streak1 Loss1 Loss
Season record29-2835-25
UTR11.8711.75
Elo (52 weeks)16701553
Best surfaceHardClay
Worst surfaceClayHard

Head to head

Rebecca Sramkova leads 1-0.

DateWinnerScoreTournament
22.10.2026Rebecca Sramkova6-0, 7-5United Kingdom Wrexham

Recent form

Rebecca Sramkova, last 10

DateOpponentScore
23.10.2026Hannah Klugman L6-3, 6-2
22.10.2026Noemi Basiletti W6-0, 7-5
20.10.2026Mona Barthel W6-4, 5-7, 6-4
11.10.2026Kyoka Okamura W6-3, 6-1
10.10.2026Renata Zarazua W7-5, 6-3
09.10.2026Aliona Falei W6-1, 2-6, 6-2
07.10.2026Claire Liu W7-5, 6-4
05.10.2026Alevtina Ibragimova W6-2, 6-3
28.09.2026Jodie Burrage L6-4, 6-4
21.09.2026Maja Chwalinska L6-4, 6-2

Noemi Basiletti, last 10

DateOpponentScore
22.10.2026Rebecca Sramkova L6-0, 7-5
20.10.2026Anna Lena Friedsam W1-6, 7-6, 7-6
13.10.2026Viktoria Hruncakova L6-2, 6-2
23.09.2026Mia Ristic L6-3, 3-6, 6-3
21.09.2026Laura Samson W6-3, 6-4
19.09.2026Mona Barthel L6-4, 6-0
18.09.2026Ekaterine Gorgodze W6-3, 6-1
16.09.2026Julie Struplova W6-2, 6-3
14.09.2026Lola Radivojevic W7-6, 6-4
09.08.2026Barbora Palicova W2-6, 7-5, 7-5

Common opponents, last 12 months

OpponentRebecca SramkovaNoemi Basiletti
Francisca Jorge 1-0
W 6-3, 6-4
0-1
L 6-1, 2-6, 7-5
Lola Radivojevic 1-1
W 2-6, 6-4, 6-3, L 6-2, 6-2
1-0
W 7-6, 6-4
Mona Barthel 1-0
W 6-4, 5-7, 6-4
0-1
L 6-4, 6-0
Tara Wurth 1-0
W 6-4, 7-5
0-1
L 6-3, 7-5
Viktoria Hruncakova 1-0
W 7-6, 7-6
0-1
L 6-2, 6-2

Earlier previews of this matchup

  • 2026-10-27: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-26: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-25: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-24: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-23: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-22: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667
  • 2026-10-21: WTA Kingdom Wrexham (X) (United Kingdom), model gave Rebecca Sramkova 73% at -667

Rebecca Sramkova vs Noemi Basiletti: quick answers

Who will win Rebecca Sramkova vs Noemi Basiletti?

Tennis Gauge's model favors Rebecca Sramkova, giving them a 73% chance to win against Noemi Basiletti (27%).

What is the head-to-head record between Rebecca Sramkova and Noemi Basiletti?

Rebecca Sramkova leads 1-0. Their most recent meeting was on October 22, 2026, won by Rebecca Sramkova 6-0, 7-5 at United Kingdom Wrexham.

Who is in better form, Rebecca Sramkova or Noemi Basiletti?

Rebecca Sramkova is 7-3 in their last 10 matches (current streak: 1 Loss). Noemi Basiletti is 6-4 (current streak: 1 Loss).

How does Tennis Gauge rate Rebecca Sramkova and Noemi Basiletti?

Rebecca Sramkova is rated 6904 (WTA #115) and Noemi Basiletti is rated 6750 (WTA #243). Ratings update after every match and weight recent results and opponent strength.

What are the odds for Rebecca Sramkova vs Noemi Basiletti?

Rebecca Sramkova is priced at -667 and Noemi Basiletti at +250, which implies a 87% and 29% chance to win. The model and the odds roughly agree, so neither side shows value.