CHESS ANALYTICS 01: Fischer 1971-72 compared with Karpov 1974 26 Tuesday May 2026 Posted by Ripsu-sama in chess, chess analytics ≈ Leave a comment Tagschampionship runs, chess, chess analytics, chess history, chess metrics, engine analysis, Fischer, Karpov, Stockfish, world championship 0. CHESS ANALYTICS 00: Methods: Measuring World-Championship Roads with Stockfish 18 WDL CHESS ANALYTICS 00.0: List of Other Chess Analytics Articles 1. CHESS ANALYTICS 01 part 1/3: the 11th World-Champion, Robert Fischer1.1. Overall verdict1.2. Match-by-match headline1.3. Fischer–Taimanov, 6–01.4. Fischer–Larsen, 6–01.5. Fischer–Petrosian, 6.5–2.51.6. Fischer–Spassky, 12.5–7.5 in played games1.7. Game-level findings1.8. What most strongly explains the scores?1.8.A. Expected-score advantage explains the base result1.8.B. Conversion explains why the result became historically crushing1.8.C. Loss and volatility metrics explain the engine edge1.8.D. Error Concentration is not a primary explanation1.8.E. RAP metrics mostly encode score + quality dominance1.9. Overall chess interpretation2. CHESS ANALYTICS 01 part 2/3: the 12th World-Champion, Anatoly Karpov2.1. Overall verdict2.2. Overall stability and SD reading2.3. Match-by-match summary2.4. Karpov–Polugaevsky, 5.5–2.52.5. Karpov–Spassky, 7–42.6. Karpov–Korchnoi, 12.5–11.52.7. Game Accuracy and Mutual Accuracy2.8. Game-by-game relative edge2.9. Which metric families best explain the run?2.9.1. Expected Score and Dominance2.9.2. Conversion2.9.3. Mean ES Loss, RMS ES Loss, and Volatility2.9.4. Error Concentration2.9.5. RAP metrics2.10. Chess interpretation3. CHESS ANALYTICS 01 part 3/3: 11th vs. 12th World-Championship runFischer 1971–72 compared with Karpov 1974FischerKarpovFischer’s volatility profileKarpov’s volatility profileWDL Accuracy SDPQ SDVolatility SDFischer’s routeKarpov’s routeFischer–Spassky 1972Karpov–Spassky 1974What changed in Spassky?Fischer vs Karpov through SpasskyMetric-based favorite: Fischer, narrowly to moderatelyRough match estimateFischer’s statistical weaponsKarpov’s statistical weapons3.12.1. Fischer’s result dominance is far larger3.12.2. Karpov’s technical cleanliness is higher3.12.3. Fischer’s relative separation is higher3.12.4. Karpov’s run is lower-volatility3.12.5. Fischer’s conversion is historically extreme3.13.1. Both were more accurate than their opponents3.13.2. Both had lower expected-score loss3.13.3. Both had lower volatility than their opponents3.13.4. Both scored above expectation3.13.5. Both beat Spassky by similar relative WDL margins Continue reading →
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