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World Tennis. Women. Australia
World Tennis. Women. Australia
28.07.2026 00:30 UTC Match prediction

Webb S - Russell T. 🇦🇺

Tennis World Tennis. Women. Australia
World Tennis. Women. Australia hard 28.07.2026 00:30 UTC Finished
28.07.2026 00:30 UTC Finished
W
Webb S
R
Russell T. 🇦🇺
2:0
Odds
P1 1.43 63.5% BetBoom
P2 2.49 36.5% 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
🎯 PropickAI prediction

Our model prediction (Glicko-2)

2 Russell T. 🇦🇺 — 51%

1 · Webb S48.6%
2 · Russell T. 🇦🇺51.4%

Model estimate: win Webb S 48.6%, win Russell T. 🇦🇺 51.4%. Model favourite — Russell T. 🇦🇺.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Russell T. 🇦🇺 (odds2.49) Score 1:2 confidence 51% ✗ outcome missed
  • • Uebb S
  • • 🇦🇺 — Russell T
  • • 🇦🇺 (tennis)
  • • Uebb S
  • • 🇦🇺: forma PPVV (2)
  • • Russell T
  • • 🇦🇺: forma PPVV (2)
  • • Model backs Russell T
  • • 🇦🇺: probability 51% vs 40% on the line (odds 2.49)
  • • edge over the line +11 pp — value pick.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Webb S - Russell T. 🇦🇺 July 28, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Webb S.

Line favourite Fonbet: Webb S. We cross-check with Glicko and the math model below.
  • Win odds (Fonbet): 1 1.01 / 2 10.00
  • Glicko: Webb S 48.6% / Russell T. 🇦🇺 51.4%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 9.0%
1 90.8%
2 9.2%

Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.

Match center
Start 28.07.2026 00:30 UTC
Coverage hard
Form 6 matches
Match center

Webb S - Russell T. 🇦🇺

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 4/4 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
Post-match / PropickAI database
Score 2:0
Events 0
Statistics 0
PropickAI check: math model and Glicko-2

We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.

Option Signal Prediction / actual Rating
Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 51.4% fact: home missed / ROI -100.0% / Brier 0.527 / LogLoss 0.721
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 50.2% fact: home missed / ROI -100.0% / Brier 0.503 / LogLoss 0.696
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
Webb S 63.5% 48.6% market favourite
Russell T. 🇦🇺 36.5% 51.4% Glicko contrarian
1X2: 1 Bookies

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

Tennis math model
P1 / P2 48.6% / 51.4% probabilities
Rating 1,518 / 1,622 Webb S / Russell T. 🇦🇺
RD 204 / 189 rating uncertainty
r +/- 2RD 1,110-1,926 / 1,245-1,999 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 10.00 Fonbet · weak value +413.6% · model 51.4%
1 1.01 Fonbet · no value · model 48.6%
Total
Over 17.5 1.77 Fonbet · line only
Over 18.5 1.77 Fonbet · 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

Open on Fonbet →
bookmaker line and markets

Handicap

Outcome Fonbet Leon
1.01 99.0% —
1.63 61.4% —
2.95 33.9% 1.82 55.0%
1.85 54.1% —
1.88 53.2% —
1.80 55.6% —
— 1.82 55.0%
9.00 11.1% —
2.13 47.0% —
1.33 75.2% —
1.85 54.1% —
1.82 55.0% —
1.90 52.6% —

Total

Outcome Fonbet
Over 17.5 1.77 56.5%
Over 18.5 1.77 56.5%
Over 19.5 1.90 52.6%
Over 20.5 1.78 56.2%
Over 21.5 1.85 54.1%
Over 22.5 1.30 76.9%
Over 23.5 1.85 54.1%
Over 25.5 1.82 55.0%
Over 26.5 6.60 15.2%
Over 29.5 1.85 54.1%
Over 32.5 1.77 56.5%
Over 33.5 1.77 56.5%
Under 17.5 1.93 51.8%
Under 18.5 1.93 51.8%
Under 19.5 1.80 55.6%
Under 20.5 1.92 52.1%
Under 21.5 1.85 54.1%
Under 22.5 3.15 31.8%

Outcome (1X2)

Outcome Fonbet Leon
1.01 99.0% 1.43 69.9%
10.00 10.0% 2.49 40.2%
Match center
Webb S
L L W W
21.07 22:00 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Webb S 1:2 Katsumi N. 🇯🇵
16.07 23:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Webb S 0:2 Yan Yu. 🇹🇼
15.07 23:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Webb S 2:0 Fairclough L. 🇦🇺
14.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Webb S 2:0 Arakava Nats. 🇯🇵
2 Wins
2 Losses
1.3 Sets won
1.0 Sets lost
50% Win percentage
Russell T. 🇦🇺
L L W W
22.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane 2 (Australia), hard
Russell T. 🇦🇺 0:2 Tompson B. 🇦🇺
17.07 00:30 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Russell T. 🇦🇺 0:2 Ayyava D. 🇦🇺Ayyava D. 🇦🇺
15.07 22:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Russell T. 🇦🇺 2:1 Lin F. A. 🇹🇼
14.07 22:00 UTC+0 ITF Women - Singles: W15 Brisbane (Australia), hard
Russell T. 🇦🇺 2:0 Shibata S. 🇯🇵
2 Wins
2 Losses
1.0 Sets won
1.3 Sets lost
50% Win percentage