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ITF Women - Singles: W15 Brisbane (Australia), hard
ITF Women - Singles: W15 Brisbane (Australia), hard
14.07.2026 23:30 UTC Match prediction

Khan L. 🇦🇺 - Lin F. A. 🇹🇼

Tennis ITF Women - Singles: W15 Brisbane (Australia), hard
ITF Women - Singles: W15 Brisbane (Australia), hard hard 14.07.2026 23:30 UTC Finished
14.07.2026 23:30 UTC Finished
K
Khan L. 🇦🇺
L
Lin F. A. 🇹🇼
0:2
Odds
P1 2.40 38.5% BetBoom
P2 1.50 61.5% 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
High confidence

Our model prediction (Glicko-2)

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

2 Lin F. A. 🇹🇼 — 60%

Pure model vs market (2 · Lin F. A. 🇹🇼): model 51% · market 92% Δ −41 pp model estimates below the market

1 · Khan L. 🇦🇺39.6%
market8%
2 · Lin F. A. 🇹🇼 ✓ Прогноз60.4%
market92%

Model estimate: win Khan L. 🇦🇺 39.6%, win Lin F. A. 🇹🇼 60.4%. Model favourite — Lin F. A. 🇹🇼.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Lin F. A. 🇹🇼 (odds1.50) confidence 55% ✓ outcome correct

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Khan L. 🇦🇺 - Lin F. A. 🇹🇼 14 июля 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Lin F. A. 🇹🇼.

Line favourite Fonbet: Lin F. A. 🇹🇼. We cross-check with Glicko and the math model below.
  • Win odds (Fonbet): 1 11.00 / 2 1.01
  • Glicko: Khan L. 🇦🇺 39.6% / Lin F. A. 🇹🇼 60.4%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 8.1%
1 8.4%
2 ✓ Прогноз 91.6%

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 14.07.2026 23:30 UTC
Coverage hard
Form 3 matches
Match center

Khan L. 🇦🇺 - Lin F. A. 🇹🇼

В базе учтены недавние матчи обоих участников.

Form 3/3 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 0:2
Events 0
Statistics 0
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
Khan L. 🇦🇺 38.5% 39.6%
Lin F. A. 🇹🇼 61.5% 60.4% market and model agree
1X2: 3 Bookies

Glicko-2 - рейтинговая модель силы: сравнивает линию, историю и стабильность, но не дает гарантий.

Tennis math model
P1 / P2 39.6% / 60.4% probabilities
Rating 1,500 / 1,613 Khan L. 🇦🇺 / Lin F. A. 🇹🇼
RD 350 / 239 rating uncertainty
r +/- 2RD 800-2,200 / 1,135-2,092 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

Best value: value не найден

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 1.01 Fonbet · no value · model 60.4%
1 2.38 market consensus · no value · model 39.6%
Total
Over 16.5 2.02 Fonbet · line only
Over 17.5 1.80 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

Открыть на Fonbet →
bookmaker line and markets

Handicap

Outcome Betcity Fonbet
П1 +1.5 — 2.00 50.0%
П1 +2.5 — 2.00 50.0%
П1 +3.5 1.81 55.3% 7.10 14.1%
П1 +4.5 — 1.22 82.0%
П1 +5.5 — 1.83 54.6%
П1 +6.5 — 1.75 57.1%
П1 +7.5 — 1.70 58.8%
П1 +8.5 — 1.58 63.3%
П2 +1.5 — 1.72 58.1%
П2 +2.5 — 1.72 58.1%
П2 +3.5 — 1.04 96.2%
П2 +4.5 — 3.65 27.4%
П2 +5.5 — 1.87 53.5%
П2 +6.5 — 1.95 51.3%
П2 +7.5 — 2.02 49.5%
П2 +8.5 — 2.25 44.4%
П2 -3.5 1.90 52.6% —

Total

Outcome Betcity Fonbet
ТБ 16.5 — 2.02 49.5%
ТБ 17.5 — 1.80 55.6%
ТБ 18.5 — 1.95 51.3%
ТБ 19.5 — 1.77 56.5%
ТБ 20.5 1.85 54.1% 4.80 20.8%
ТБ 21.5 — 1.75 57.1%
ТБ 22.5 — 1.88 53.2%
ТБ 23.5 — 2.02 49.5%
ТБ 24.5 — 1.82 55.0%
ТБ 25.5 — 1.87 53.5%
ТБ 26.5 — 1.80 55.6%
ТМ 16.5 — 1.70 58.8%
ТМ 17.5 — 1.90 52.6%
ТМ 18.5 — 1.75 57.1%
ТМ 19.5 — 1.93 51.8%
ТМ 20.5 1.85 54.1% 1.13 88.5%

Outcome (1X2)

Outcome Baltbet Betcity Fonbet Leon
П1 2.40 41.7% 2.40 41.7% 11.00 9.1% 2.33 42.9%
П2 1.50 66.7% 1.50 66.7% 1.01 99.0% 1.49 67.1%
Match center
Khan L. 🇦🇺
W L W
26.05 22:30 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Fukui (Япония), хард
Khan L. 🇦🇺 2:1 Ishii K. (Япо)
21.05 23:00 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Toyama 2 (Япония), хард
Khan L. 🇦🇺 1:2 Miyata M. (Япо)
20.05 00:00 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Toyama 2 (Япония), хард
Khan L. 🇦🇺 2:0 Kawagishi N. (Япо)
2 Wins
1 Losses
1.7 Sets won
1.0 Sets lost
67% Win percentage
Lin F. A. 🇹🇼
W L W
26.05 22:30 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Fukui (Япония), хард
Lin F. A. 🇹🇼 2:1 Ishii K. (Япо)
21.05 23:00 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Toyama 2 (Япония), хард
Lin F. A. 🇹🇼 1:2 Miyata M. (Япо)
20.05 00:00 UTC+0 ITF ЖЕНЩИНЫ - ОДИНОЧНЫЙ РАЗРЯД: W15 Toyama 2 (Япония), хард
Lin F. A. 🇹🇼 2:0 Kawagishi N. (Япо)
2 Wins
1 Losses
1.7 Sets won
1.0 Sets lost
67% Win percentage