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World Tennis. Women. Australia
World Tennis. Women. Australia
29.07.2026 00:30 UTC

Wan I W. πŸ‡ΉπŸ‡Ό - Tompson B. πŸ‡¦πŸ‡Ί

🎯 PropickAI prediction
Low confidence

Our model prediction (Glicko-2)

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

1 Wan I W. πŸ‡ΉπŸ‡Ό β€” 58%

Pure model vs market (1 Β· Wan I W. πŸ‡ΉπŸ‡Ό): model 45% Β· market 61% Ξ” βˆ’16 pp model estimates below the market

1 Β· Wan I W. πŸ‡ΉπŸ‡Ό58.2%
market61%
2 Β· Tompson B. πŸ‡¦πŸ‡Ί41.8%
market39%

Model estimate: win Wan I W. πŸ‡ΉπŸ‡Ό 58.2%, win Tompson B. πŸ‡¦πŸ‡Ί 41.8%. Model favourite β€” Wan I W. πŸ‡ΉπŸ‡Ό.

Informational estimate, not a betting recommendation.

AI agent prediction

Independent AI-agent assessment from our data (model, market line, form, H2H)

1Wan I W. πŸ‡ΉπŸ‡Ό (odds1.52) Score 2:1 confidence 58%
  • • Wan I W
  • • πŸ‡ΉπŸ‡Ό β€” Tompson B
  • • πŸ‡¦πŸ‡Ί (tennis)
  • • Wan I W
  • • πŸ‡ΉπŸ‡Ό: forma PVVP (2)
  • • Tompson B
  • • πŸ‡¦πŸ‡Ί: forma PVPVV (3-2)
  • • Model backs Wan I W
  • • πŸ‡ΉπŸ‡Ό: probability 58% vs 66% on the line (odds 1.52)
  • • no edge over the line (-7 pp) β€” informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Wan I W. πŸ‡ΉπŸ‡Ό - Tompson B. πŸ‡¦πŸ‡Ί July 29, 2026

Tennis math model

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

Line favourite market consensus: Wan I W. πŸ‡ΉπŸ‡Ό. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.55 / 2 2.44

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin β€” for reference, not a betting recommendation.
Winner bookmaker margin 5.5%
1 61.2%
2 38.8%

Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β€” reference information, not a prediction or a betting recommendation.

Tennis World Tennis. Women. Australia
World Tennis. Women. Australia hard 29.07.2026 00:30 UTC Not started
29.07.2026 00:30 UTC Not started
W
Wan I W. πŸ‡ΉπŸ‡Ό
T
Tompson B. πŸ‡¦πŸ‡Ί
-:-
Odds
P1 1.55 61.2% BetBoom
P2 2.44 38.9% 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 29.07.2026 00:30 UTC
Coverage hard
Form 6 matches
Match center

Wan I W. πŸ‡ΉπŸ‡Ό - Tompson B. πŸ‡¦πŸ‡Ί

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 4/5 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
Wan I W. πŸ‡ΉπŸ‡Ό 59.7% 58.2% market and model agree
Tompson B. πŸ‡¦πŸ‡Ί 40.3% 41.8%

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

Tennis math model
P1 / P2 58.2% / 41.8% probabilities
Rating 1,609 / 1,826 Wan I W. πŸ‡ΉπŸ‡Ό / Tompson B. πŸ‡¦πŸ‡Ί
RD 199 / 157 rating uncertainty
r +/- 2RD 1,211-2,007 / 1,512-2,139 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 2.32 market consensus Β· no value Β· model 41.8%
1 1.52 market consensus Β· no value Β· model 58.2%
Total
Over 20.5 1.85 market consensus Β· line only
Under 20.5 1.82 market consensus Β· line only

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

Handicap

Outcome Betcity Leon
— 1.74 57.5%
1.93 51.8% —
— 1.90 52.6%
1.77 56.5% —

Total

Outcome Betcity Leon
Over 20.5 1.87 53.5% 1.83 54.6%
Under 20.5 1.83 54.6% 1.80 55.6%

Outcome (1X2)

Outcome Baltbet Betcity Leon
1.55 64.5% 1.49 67.1% 1.53 65.4%
2.30 43.5% 2.44 41.0% 2.23 44.8%
Match center
Wan I W. πŸ‡ΉπŸ‡Ό
L W W L
24.07 00:00 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Wan I W. πŸ‡ΉπŸ‡Ό 0:2 Yoshimoto N. πŸ‡―πŸ‡΅Yoshimoto N. πŸ‡―πŸ‡΅
22.07 23:00 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Wan I W. πŸ‡ΉπŸ‡Ό 2:1 Stivens E. πŸ‡¦πŸ‡Ί
21.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Wan I W. πŸ‡ΉπŸ‡Ό 2:0 Warang A. πŸ‡¦πŸ‡Ί
14.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Wan I W. πŸ‡ΉπŸ‡Ό 0:2 Uemura M. πŸ‡―πŸ‡΅Uemura M. πŸ‡―πŸ‡΅
2 Wins
2 Losses
1.0 Sets won
1.3 Sets lost
50% Win percentage
Tompson B. πŸ‡¦πŸ‡Ί
L W L W W
22.07 23:00 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Tompson B. πŸ‡¦πŸ‡Ί 1:2 Arakava Nats. πŸ‡―πŸ‡΅
22.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Tompson B. πŸ‡¦πŸ‡Ί 2:0 Russell T. πŸ‡¦πŸ‡Ί
18.07 22:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Tompson B. πŸ‡¦πŸ‡Ί 0:2 Ayyava D. πŸ‡¦πŸ‡ΊAyyava D. πŸ‡¦πŸ‡Ί
17.07 22:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Tompson B. πŸ‡¦πŸ‡Ί 2:1 Yoshimoto N. πŸ‡―πŸ‡΅Yoshimoto N. πŸ‡―πŸ‡΅
17.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Tompson B. πŸ‡¦πŸ‡Ί 2:1 Subasic A. πŸ‡¦πŸ‡ΊSubasic A. πŸ‡¦πŸ‡Ί
3 Wins
2 Losses
1.4 Sets won
1.2 Sets lost
60% Win percentage