Singapore 2026: the title odds race
One line per player: the chance of winning the title on each day's simulation run, exactly as published at the time. The forecast moves with a player's own results and with what rivals do in the other half of the draw.
Title race
how the forecast moved · daily runs Sep 21 to Sep 30
Coloured lines: players who entered the daily top 5 of title probability at least once. A line ending in ✕ is an elimination. Grey lines are the best of the rest. Tap a player to isolate their line.
Data table: title probability by day
| Player | Sep 21 | Sep 22 | Sep 23 | Sep 24 | Sep 25 | Sep 26 | Sep 27 | Sep 30 |
|---|---|---|---|---|---|---|---|---|
| Leylah Fernandez | 3.3% | 6.0% | 5.2% | 7.6% | 10.2% | 38.1% | 58.7% | 100.0% |
| Amanda Anisimova | 35.3% | - | - | - | - | - | - | - |
| Mirra Andreeva | 27.1% | 35.8% | 34.6% | 36.7% | 45.9% | out | - | - |
| Talia Gibson | 0.9% | 3.5% | 3.2% | 5.9% | 7.0% | 44.4% | 41.3% | out |
| Elise Mertens | 7.1% | 11.5% | 18.6% | 18.3% | out | - | - | - |
| Maja Chwalinska | 0.5% | 1.2% | 2.4% | 2.2% | 9.3% | 17.6% | out | - |
| Alexandra Eala | 9.3% | 17.2% | 17.2% | 14.6% | out | - | - | - |
| Maria Sakkari | 3.7% | 5.8% | 7.7% | 7.9% | 12.5% | out | - | - |
| Xinyu Wang | 1.4% | 3.6% | 3.3% | 4.2% | 9.1% | out | - | - |
| Barbora Krejcikova | 4.5% | 4.5% | out | - | - | - | - | - |
How the race unfolded
Leylah Fernandez won Singapore 2026. On Sep 21, the opening run of the simulation, the favourite was Amanda Anisimova at 35.3%. Leylah Fernandez took the front on Sep 27 and kept it to the end, after the lead had changed hands 3 times. The sharpest fall: Mirra Andreeva, from 45.9% to out of the tournament on Sep 26.
Last open forecast (Sep 27)
- Leylah Fernandez (6) 58.7%
- Talia Gibson 41.3%
Forecasts come from the daily Monte Carlo run of the remaining draw (20,000 simulations on calibrated Elo and Glicko-2 ratings) and are stored when published, never rewritten. Methodology: how the simulations work · model transparency.
Reuse this data · CC BY 4.0
The WTA title odds history dataset is free to reuse, including commercially, under CC BY 4.0. Attribution with a link is the only requirement. Copy-paste credit:
Data: <a href="https://www.predixsport.com/wta_tennis_tournament_simulations/singapore-2026">WTA title odds history by Predixsport</a> (CC BY 4.0)