Tennis · 2026 season
WTA forecasts
Win probabilities for every match from a rating model fit only on past results.
Upcoming
| Date | Match | First named | Second named |
|---|---|---|---|
| 12 Nov 2026 | Elizabeth Mandlik vs Andrea Lazaro Garcia | 30% | 70% |
| 12 Nov 2026 | Laura Samson vs Irene Burillo | 56% | 44% |
| 12 Nov 2026 | Bianca Andreescu vs Marina Bassols Ribera | 78% | 22% |
| 12 Nov 2026 | Alice Tubello vs Polona Hercog | 69% | 31% |
| 12 Nov 2026 | Marta Kostyuk vs Coco Gauff | 30% | 70% |
| 12 Nov 2026 | Jessica Pegula vs Linda Noskova | 52% | 48% |
| 13 Nov 2026 | Aryna Sabalenka vs Elina Svitolina | 59% | 41% |
| 13 Nov 2026 | Mirra Andreeva vs Karolina Muchova | 68% | 32% |
Recent results
| Date | Match | Score | Pre-game chance of the winner |
|---|---|---|---|
| 11 Nov 2026 | Aryna Sabalenka vs Mirra Andreeva | 0–2 | 42% |
| 11 Nov 2026 | Elina Svitolina vs Karolina Muchova | 2–1 | 52% |
| 11 Nov 2026 | Maria Lourdes Carle vs Marina Bassols Ribera | 0–2 | 61% |
| 11 Nov 2026 | Bianca Andreescu vs Laura Pigossi | 2–0 | 93% |
| 11 Nov 2026 | Irene Burillo vs Julia Grabher | 2–0 | 40% |
| 11 Nov 2026 | Lucia Bronzetti vs Elizabeth Mandlik | 0–2 | 39% |
| 11 Nov 2026 | Laura Samson vs Sofia Costoulas | 2–0 | 67% |
| 11 Nov 2026 | Andrea Lazaro Garcia vs Jazmin Ortenzi | 2–1 | 63% |
| 11 Nov 2026 | Polona Hercog vs Carole Monnet | 2–0 | 37% |
| 11 Nov 2026 | Tatjana Maria vs Alice Tubello | 0–2 | 40% |
| 10 Nov 2026 | Coco Gauff vs Linda Noskova | 0–2 | 35% |
| 10 Nov 2026 | Maria Lourdes Carle vs Valentina Mediorreal Arias | 2–1 | 57% |
Questions and answers
What are the odds for the next WTA matches?
According to PodiumOracle's model: Elizabeth Mandlik vs Andrea Lazaro Garcia (12 November 2026): Andrea Lazaro Garcia 70%; Laura Samson vs Irene Burillo (12 November 2026): Laura Samson 56%; Bianca Andreescu vs Marina Bassols Ribera (12 November 2026): Bianca Andreescu 78%. Every upcoming one's chances are on this page and update until the start.
How accurate are PodiumOracle's WTA predictions?
On 10,182 games from held-back seasons (2024 to 2026), which the model never saw while it was tuned, the side it favoured won 63% of the time. Its log loss was 0.629, against 0.693 for the base rate and 0.679 for recent form. Against the betting markets on the same finished games, its log loss was 0.629 against the bookmakers' 0.575 over 1,943 games, 0.644 against Polymarket's 0.571 over 2,959 games and 0.628 against Kalshi's 0.577 over 1,936 games (lower is better).
How are the WTA predictions made?
Every player has a rating that moves after each result, by more when the result was a surprise. The gap between two ratings, plus home advantage, gives each game's chance. The settings are chosen on older seasons and tested on the most recent ones.