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ITF Women - Doubles: W35 Southaven, MS ๐Ÿ‡บ๐Ÿ‡ธ, hard
ITF Women - Doubles: W35 Southaven, MS ๐Ÿ‡บ๐Ÿ‡ธ, hard

Gusman D./Uilyams S. - Flores V./Sandhu N.

✓ Prematch ready Prematch data Line Form H2H Prediction

Gusman D./Uilyams S. go head-to-head with Flores V./Sandhu N. on August 4, 2026 in the ITF Women - Doubles: W35 Southaven, MS ๐Ÿ‡บ๐Ÿ‡ธ, hard.

Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.

๐ŸŽฏ PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

PropickAI model ยท comparison with the market line (no margin)

1 Gusman D./Uilyams S. โ€” 81%

Pure model vs market (1 ยท Gusman D./Uilyams S.): model 52% ยท market 84% ฮ” โˆ’32 pp model estimates below the market

1 ยท Gusman D./Uilyams S. ✓ Pick81.1%
market84%
2 ยท Flores V./Sandhu N.18.9%
market16%

Model estimate: win Gusman D./Uilyams S. 81.1%, win Flores V./Sandhu N. 18.9%. Model favourite โ€” Gusman D./Uilyams S..

Informational estimate, not a betting recommendation.

Math-model prediction

AI match prediction Gusman D./Uilyams S. - Flores V./Sandhu N. August 4, 2026

Tennis math model

The summary is built from our prematch context: line, form, lineups and Glicko.

Line favourite market consensus: Gusman D./Uilyams S.. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.11 / 2 6.10

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin โ€” for reference, not a betting recommendation.
Winner bookmaker margin 8.1% 3 books ยท best price +1.8%
1 ✓ Pick 84.3%
2 15.7%

Odds source: consensus of 3 books (Baltbet, Betcity, Leon). This is the fair probability after removing the bookmaker margin from the odds โ€” reference information, not a prediction or a betting recommendation.

Tennis ITF Women - Doubles: W35 Southaven, MS ๐Ÿ‡บ๐Ÿ‡ธ, hard
ITF Women - Doubles: W35 Southaven, MS ๐Ÿ‡บ๐Ÿ‡ธ, hard hard 04.08.2026 19:40 UTC Not started
04.08.2026 19:40 UTC Not started
G
Gusman D./Uilyams S.
F
Flores V./Sandhu N.
-:-
Odds
P1 1.11 84.6% BetBoom
P2 6.10 15.4% BetBoom
Coverage: hard
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
hard Coverage hard
0 H2H 0
Match center
Start 04.08.2026 19:40 UTC
Market 1 84.6% @ 1.11 / 2 15.4% @ 6.10
Coverage hard
Match center

Gusman D./Uilyams S. - Flores V./Sandhu N.

H2H 0 head-to-head matches
Market 2 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Line depth match data source checked
Present in data
Market Match Participants Line
More needed
Form Championat, Flashscore
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
Overview Championat
Market and Glicko

Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Outcome Line Glicko Signal
Gusman D./Uilyams S. 84.3% 81.1% market and model agree
Flores V./Sandhu N. 15.7% 18.9%

Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.

Tennis math model
P1 / P2 81.1% / 18.9% probabilities
Rating 1,500 / 1,500 Gusman D./Uilyams S. / Flores V./Sandhu N.
RD 350 / 350 rating uncertainty
r +/- 2RD 800-2,200 / 800-2,200 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

Best value: no value found

Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Betting snapshot
1X2
2 5.83 market consensus ยท no value ยท model 18.9%
1 1.09 market consensus ยท no value ยท model 81.1%

Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.

Bookmaker line

Match markets

bookmaker line and markets

Outcome (1X2)

Outcome Baltbet Betcity Leon
1.09 91.7% 1.11 90.1% 1.08 92.6%
6.10 16.4% 5.60 17.9% 5.80 17.2%