Event: German Masters 2023 - German Masters 2023 Damen
Site: Tornelo INT
Date: 2023-12-11
White: Sieber, Fiona
WhiteTitle: WGM
WhiteElo: 2274
Black: Lubbe, Melanie
BlackTitle: WGM
BlackElo: 2257
Result: 0-1
ECO: B32
Opening: Sicilian Defense: Godiva Variation
Variant: Standard

1. e4 { [%eval 0.14] } 1... c5 { [%eval 0.33] } 2. Nf3 { [%eval 0.0] } 2... Nc6 { [%eval 0.29] } 3. d4 { [%eval 0.33] } 3... cxd4 { [%eval 0.38] } 4. Nxd4 { [%eval 0.29] } 4... Qb6 { [%eval 0.57] } 5. Nb3 { [%eval 0.39] } 5... Nf6 { [%eval 0.74] } 6. Nc3 { [%eval 0.53] } 6... e6 { [%eval 0.72] } 7. a3 { [%eval 0.53] } 7... a6 { [%eval 0.85] } 8. Be3 { [%eval 0.66] } 8... Qc7 { [%eval 0.74] } 9. f4 { [%eval 0.7] } 9... d6 { [%eval 0.75] } 10. g4 { [%eval 0.73] } 10... b5 { [%eval 0.88] } 11. g5 { [%eval 1.0] } 11... Nd7 { [%eval 0.89] } 12. Qe2 { [%eval 0.84] } 12... Rb8 { [%eval 0.96] } 13. h4 { [%eval 0.66] } 13... Nb6 { [%eval 0.99] } 14. O-O-O { [%eval 0.93] } 14... Nc4 { [%eval 1.08] } 15. Bg1 { [%eval 1.02] } 15... N6a5?! { [%eval 1.73] } { Inaccuracy. N4a5 was best. } 16. Rh3 { [%eval 1.72] } 16... b4 { [%eval 1.81] } 17. Nxa5 { [%eval 1.79] } 17... Nxa5 { [%eval 1.89] } 18. axb4 { [%eval 1.8] } 18... Rxb4 { [%eval 1.98] } 19. Rd4?! { [%eval 1.31] } { Inaccuracy. f5 was best. } 19... Rb8 { [%eval 1.23] } 20. f5 { [%eval 1.39] } 20... Be7 { [%eval 1.41] } 21. Rf3 { [%eval 1.3] } 21... Nc6 { [%eval 1.59] } 22. Rc4 { [%eval 1.48] } 22... Qb7 { [%eval 1.27] } 23. Nd1?! { [%eval 0.6] } { Inaccuracy. Na4 was best. } 23... Ne5 { [%eval 0.66] } 24. Rb3 { [%eval 0.67] } 24... Qa8 { [%eval 0.7] } 25. Rxb8 { [%eval 0.62] } 25... Qxb8 { [%eval 0.64] } 26. Rc3 { [%eval 0.71] } 26... h6 { [%eval 0.65] } 27. Rg3? { [%eval -0.64] } { Mistake. gxh6 was best. } 27... hxg5 { [%eval -0.78] } 28. hxg5 { [%eval -0.74] } 28... exf5 { [%eval -0.84] } 29. exf5 { [%eval -0.82] } 29... Bxf5 { [%eval -0.68] } 30. Qxa6 { [%eval -0.87] } 30... O-O { [%eval -0.68] } 31. Bg2? { [%eval -2.23] } { Mistake. Nc3 was best. } 31... Qb4 { [%eval -2.26] } 32. Qa7?? { [%eval -5.42] } { Blunder. Rc3 was best. } 32... Qh4?! { [%eval -4.07] } { Inaccuracy. Qe1 was best. } 33. Bf2 { [%eval -4.69] } 33... Bxg5+ { [%eval -4.72] } 34. Ne3 { [%eval -5.69] } 34... Qf4 { [%eval -4.74] } 35. Kb1?! { [%eval -6.1] } { Inaccuracy. Rxg5 was best. } 35... Qxf2 { [%eval -6.06] } 36. Rxg5 { [%eval -6.05] } 36... Bxc2+ { [%eval -6.15] } 37. Ka2 { [%eval -5.98] } 37... Bg6?! { [%eval -4.47] } { Inaccuracy. Qg1 was best. } 38. Bd5 { [%eval -4.78] } 38... Qd2 { [%eval -5.03] } 39. Rg2 { [%eval -5.46] } 39... Qc1 { [%eval -5.25] } 40. Qb6 { [%eval -5.83] } 40... Qb1+ { [%eval -5.52] } 41. Ka3 { [%eval -5.56] } 41... Be4 { [%eval -5.87] } 42. Rd2 { [%eval -6.24] } 42... Bxd5 { [%eval -5.99] } 43. Rxd5 { [%eval -6.15] } 43... Ra8+ { [%eval -6.12] } 44. Kb3 { [%eval -6.19] } 44... Qa2+ { [%eval -6.32] } 45. Kc2 { [%eval -7.09] } 45... Rc8+ { [%eval -6.05] } 46. Kd1 { [%eval -7.06] } 46... Qb1+ { [%eval -5.77] } 47. Ke2 { [%eval -6.02] } 47... Qe4 { [%eval -5.91] } 48. Rxd6 { [%eval -5.85] } 48... Nc4 { [%eval -6.16] } 49. Rd8+ { [%eval -5.67] } 49... Rxd8 { [%eval -6.29] } 50. Qxd8+ { [%eval -6.0] } 50... Kh7 { [%eval -6.33] } 51. Qd3 { [%eval -6.34] } 51... Qxd3+ { [%eval -6.07] } 52. Kxd3 { [%eval -6.52] } 52... Nxb2+? { [%eval -3.52] } { Mistake. Nxe3 was best. } 53. Kc3 { [%eval -3.47] } 53... Na4+ { [%eval -3.4] } 54. Kb4 { [%eval -3.65] } 54... Nb6 { [%eval -3.48] } 55. Kc5 { [%eval -3.97] } 55... Nd7+ { [%eval -3.77] } 56. Kd6 { [%eval -3.77] } 56... Nf6 { [%eval -3.6] } 57. Ke7 { [%eval -3.5] } 57... Kg6 { [%eval -4.0] } 58. Kf8?! { [%eval -5.02] } { Inaccuracy. Ng2 was best. } 58... Nd7+ { [%eval -4.45] } 59. Kg8 { [%eval -5.09] } 59... Ne5 { [%eval -4.63] } 60. Nd5 { [%eval -5.25] } 60... Kh6 { [%eval -5.65] } 61. Kf8 { [%eval -5.86] } 61... g5 { [%eval -4.72] } 62. Ke7 { [%eval -4.87] } 62... Kg6 { [%eval -5.15] } 63. Kd6 { [%eval -6.14] } 63... Nc4+?! { [%eval -4.68] } { Inaccuracy. Kf5 was best. } 64. Kc5 { [%eval -4.83] } 64... Nd2 { [%eval -4.89] } 65. Kd4 { [%eval -5.0] } 65... f5 { [%eval -4.75] } 66. Ke5?! { [%eval -6.29] } { Inaccuracy. Ke3 was best. } 66... Nc4+?! { [%eval -4.57] } { Inaccuracy. Nf3+ was best. } 67. Kd4 { [%eval -4.57] } 67... Nd2 { [%eval -4.58] } 68. Ke5?! { [%eval -6.58] } { Inaccuracy. Ke3 was best. } 68... Nf3+ { [%eval -6.56] } 69. Ke6 { [%eval -6.73] } 69... f4 { [%eval -7.54] } 70. Ne7+ { [%eval -7.9] } 70... Kh5 { [%eval -6.81] } 71. Kf5 { [%eval -7.7] } 71... Nh4+ { [%eval -7.83] } 72. Ke4 { [%eval -8.3] } 72... Kg4 { [%eval -8.2] } 73. Nd5 { [%eval -7.82] } 73... Kg3 { [%eval -8.6] } 74. Nf6 { [%eval -8.23] } 74... f3 { [%eval -8.61] } 75. Ke3 { [%eval -8.52] } 75... Ng2+ { [%eval -8.58] } 76. Kd2 { [%eval -8.57] } 76... g4 { [%eval -9.05] } 77. Ne4+ { [%eval -35.75] } 77... Kf4 { [%eval -8.52] } 78. Nc5 { [%eval -9.26] } 78... Nh4 { [%eval -8.23] } 79. Nd3+ { [%eval -8.29] } 79... Kg3 { [%eval -11.55] } 80. Ke1 { [%eval -37.24] } 80... Kg2 { [%eval -35.48] } 81. Nf4+ { [%eval -36.14] } 81... Kg1 { [%eval -63.14] } 0-1