Chess Candidates 2026

2026 Candidates Win Probability Evolution 🎯 Win Probability Evolution: 2026 FIDE Candidates Rounds 0–6 | All players start equal at 12.5% (R0) 💡 Hover over points for exact Win%. Click legend items to toggle players. Source: CITF v1.2+LTB Model | Win% from 100,000 Monte Carlo simulations | Baseline: 8 players → 12.5% each at R0 | Round 6, 2026 FIDE Candidates

From 2800 to 68%: The CITF Model's Journey Through Round 6 | 2026 Candidates From 2800 to 68%: The CITF Model's Journey Through Round 6 A round-by-round retrospective of how a neutral, results-only forecasting engine identified a historic winner trajectory When the 2026 FIDE Candidates began, every player started at APR = 2800 ± 95 . No pre-tournament favoritism. No external ratings. Just pure, adaptive learning from each game result. Now, after six rounds, the model assigns Javokhir Sindarov a 68.4% win probability with 79% confidence . How did we get here? This retrospective traces the model's evolution from symmetric uncertainty to decisive prediction. Core Philosophy: CITF v1.2+LTB uses only in-tournament data—results, points, colors, momentum—to forecast outcomes. No Elo, no H2H history, no opening databases. Just Bayesian learn...

The 68% Threshold: Sindarov's Historic Pace After Round 6 | 2026 Candidates The 68% Threshold: Sindarov's Historic Pace After Round 6 The 2026 Candidates is 43% complete. The statistical narrative is no longer emerging—it's locking in. After six rounds of intense elite chess, Javokhir Sindarov has crossed a critical statistical boundary. Our in-tournament forecasting engine now assigns him a 68.4% probability of winning the 2026 FIDE Candidates , with a Model Confidence Index of 79% —crossing from "High" into "Decisive" territory. This isn't narrative hype. It's calibrated probability, derived exclusively from 100,000 Monte Carlo simulations, adaptive Bayesian rating updates, and a historical benchmark against every Candidates winner since 2013. Round 6 Snapshot: Sindarov defeated Wei Yi (1-0) to reach 5....

The 54% Threshold: Why Javokhir Sindarov Is Already the 2026 Candidates Favorite The 54% Threshold: Why Javokhir Sindarov Is Already the 2026 Candidates Favorite By the end of Round 5, the tournament is only 35% complete. Yet the statistical narrative is already written. 🤔 What Is This Model & How Does It Work? If you're new to this analysis, here's what you need to know: 📊 The Model: CITF v1.2+LTB Candidates In-Tournament Forecast is a custom-built prediction engine designed specifically for elite chess round-robins. Unlike traditional chess ratings (like Elo), which are static and pre-tournament, this model learns and adapts after every single game based only on what happens in the tournament itself. ...

2026 Candidates – Round 4: Sindarov takes historic lead 2026 Candidates Tournament – Round 4 Sindarov takes a historic lead; the chase begins Previous post (methodology & round 3): Tracking Candidates with a pure in‑tournament model Quick methodology refresher This model uses only in‑tournament results – every player starts with a neutral 2800 TPR (in‑tournament performance rating). After each round, we update ratings using Bayesian shrinkage (to avoid over‑reaction), then run 100,000 Monte Carlo simulations of the remaining games with draw‑adjusted probabilities from historical Candidates data (2013–2024). Key metrics in the table: TPR – Bayesian in‑tournament performance rating (posterior mean). SoSIG – average forecasted TPR of opponents not yet played (higher = tougher remaining schedule). P(≥8.5) – probability of reaching the historical wi...