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ITF Women - Singles: W15 Tianjin (China), hard
ITF Women - Singles: W15 Tianjin (China), hard
05.08.2026 02:00 UTC

Van Ya. πŸ‡¨πŸ‡³ - Dekkers F. πŸ‡³πŸ‡±

✓ Prematch ready Prematch data ✓Line ✓Form –H2H ✓Prediction

Van Ya. πŸ‡¨πŸ‡³ go head-to-head with Dekkers F. πŸ‡³πŸ‡± on August 5, 2026 in the ITF Women - Singles: W15 Tianjin (China), hard.

Full analysis β€” form, H2H, odds and the PrognozAI AI prediction β€” follows on this page.

🎯 PropickAI prediction
High confidence

Our model prediction (Glicko-2)

PropickAI model Β· comparison with the market line (no margin)

1 Van Ya. πŸ‡¨πŸ‡³ β€” 81%

Pure model vs market (1 Β· Van Ya. πŸ‡¨πŸ‡³): model 55% Β· market 84% Ξ” βˆ’29 pp model estimates below the market

1 Β· Van Ya. πŸ‡¨πŸ‡³ ✓ Pick81.1%
market84%
2 Β· Dekkers F. πŸ‡³πŸ‡±18.9%
market16%

Model estimate: win Van Ya. πŸ‡¨πŸ‡³ 81.1%, win Dekkers F. πŸ‡³πŸ‡± 18.9%. Model favourite β€” Van Ya. πŸ‡¨πŸ‡³.

Informational estimate, not a betting recommendation.

Math-model prediction

AI match prediction Van Ya. πŸ‡¨πŸ‡³ - Dekkers F. πŸ‡³πŸ‡± August 5, 2026

Tennis math model

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

Line favourite market consensus: Van Ya. πŸ‡¨πŸ‡³. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.11 / 2 5.80

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin β€” for reference, not a betting recommendation.
Winner bookmaker margin 8.2% 3 books
1 ✓ Pick 84.1%
2 15.9%

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

Tennis ITF Women - Singles: W15 Tianjin (China), hard
ITF Women - Singles: W15 Tianjin (China), hard hard 05.08.2026 02:00 UTC Not started
05.08.2026 02:00 UTC Not started
V
Van Ya. πŸ‡¨πŸ‡³
D
Dekkers F. πŸ‡³πŸ‡±
-:-
Odds
P1 1.11 83.9% BetBoom
P2 5.80 16.1% 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 05.08.2026 02:00 UTC
Market 1 83.9% @ 1.11 / 2 16.1% @ 5.80
Coverage hard
Form 2 matches
Match center

Van Ya. πŸ‡¨πŸ‡³ - Dekkers F. πŸ‡³πŸ‡±

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 2/2 recent games
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 Form Match Participants Line Overview
More needed
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
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
Van Ya. πŸ‡¨πŸ‡³ 84.1% 81.1% market and model agree
Dekkers F. πŸ‡³πŸ‡± 15.9% 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 1,578 / 1,500 Van Ya. πŸ‡¨πŸ‡³ / Dekkers F. πŸ‡³πŸ‡±
RD 247 / 350 rating uncertainty
r +/- 2RD 1,083-2,072 / 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 5.73 market consensus Β· no value Β· model 18.9%
1 1.10 market consensus Β· no value Β· 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
1.10 90.9% 1.11 90.1% 1.08 92.6%
5.80 17.2% 5.70 17.5% 5.70 17.5%
Match center
Van Ya. πŸ‡¨πŸ‡³
L W
03.07 00:00 UTC+0 ITF Women - Singles: W15 Maanshan 4 (China), hard
Van Ya. πŸ‡¨πŸ‡³ 0:2 Van Dzh. πŸ‡¨πŸ‡³
01.07 00:00 UTC+0 ITF Women - Singles: W15 Maanshan 4 (China), hard
Van Ya. πŸ‡¨πŸ‡³ 2:0 Tikhonova A. (World)
1 Wins
1 Losses
1.0 Sets won
1.0 Sets lost
50% Win percentage
Dekkers F. πŸ‡³πŸ‡±
L W
03.07 00:00 UTC+0 ITF Women - Singles: W15 Maanshan 4 (China), hard
Dekkers F. πŸ‡³πŸ‡± 0:2 Van Dzh. πŸ‡¨πŸ‡³
01.07 00:00 UTC+0 ITF Women - Singles: W15 Maanshan 4 (China), hard
Dekkers F. πŸ‡³πŸ‡± 2:0 Tikhonova A. (World)
1 Wins
1 Losses
1.0 Sets won
1.0 Sets lost
50% Win percentage