Event: 2023深圳南山国际象棋大师对抗赛
Site: shenzhen, China
Date: 2023-10-11
White: Zhang, Xiao
WhiteElo: 1981
Black: Zhu, Jiner
BlackTitle: GM
BlackElo: 2425
Result: 0-1
ECO: D55
Opening: Queen's Gambit Declined: Anti-Tartakower Variation
Variant: Standard
TimeControl: 15m+5s

1. d4 { [%eval 0.0] [%clk 0:15:08] } 1... d5 { [%eval 0.27] [%clk 0:15:08] } 2. c4 { [%eval 0.29] [%clk 0:15:11] } 2... e6 { [%eval 0.3] [%clk 0:15:12] } 3. Nc3 { [%eval 0.39] [%clk 0:15:13] } 3... Nf6 { [%eval 0.43] [%clk 0:15:14] } 4. Nf3 { [%eval 0.0] [%clk 0:15:08] } 4... Be7 { [%eval 0.0] [%clk 0:15:17] } 5. Bg5 { [%eval 0.0] [%clk 0:15:09] } 5... O-O { [%eval 0.17] [%clk 0:15:05] } 6. e3 { [%eval 0.03] [%clk 0:15:12] } 6... h6 { [%eval 0.21] [%clk 0:15:06] } 7. Bxf6 { [%eval 0.23] [%clk 0:15:14] } 7... Bxf6 { [%eval 0.14] [%clk 0:15:07] } 8. Qc2 { [%eval 0.09] [%clk 0:15:17] } 8... c5 { [%eval 0.07] [%clk 0:13:40] } 9. O-O-O? { [%eval -1.42] } { Mistake. dxc5 was best. } { [%clk 0:13:51] } 9... cxd4 { [%eval -1.32] [%clk 0:12:48] } 10. exd4 { [%eval -1.24] [%clk 0:12:08] } 10... Nc6 { [%eval -1.34] [%clk 0:12:33] } 11. cxd5?! { [%eval -1.99] } { Inaccuracy. Kb1 was best. } { [%clk 0:11:41] } 11... exd5 { [%eval -2.11] [%clk 0:12:26] } 12. h3 { [%eval -1.67] [%clk 0:11:43] } 12... Nb4 { [%eval -1.51] [%clk 0:10:44] } 13. Qb3 { [%eval -1.7] [%clk 0:09:57] } 13... Qb6?! { [%eval -0.7] } { Inaccuracy. a5 was best. } { [%clk 0:10:34] } 14. g4 { [%eval -0.41] [%clk 0:08:31] } 14... a5 { [%eval 0.0] [%clk 0:10:35] } 15. Na4?! { [%eval -0.72] } { Inaccuracy. Kb1 was best. } { [%clk 0:07:47] } 15... Qc6+ { [%eval -0.22] [%clk 0:09:57] } 16. Kb1 { [%eval -0.15] [%clk 0:07:49] } 16... Be7?! { [%eval 0.83] } { Inaccuracy. b5 was best. } { [%clk 0:09:08] } 17. Ne5 { [%eval 0.98] [%clk 0:07:32] } 17... Qf6 { [%eval 0.69] [%clk 0:09:10] } 18. a3 { [%eval 0.3] [%clk 0:06:47] } 18... Nc6 { [%eval 0.35] [%clk 0:07:19] } 19. Qe3 { [%eval 0.36] [%clk 0:04:11] } 19... Rb8? { [%eval 1.82] } { Mistake. Nxe5 was best. } { [%clk 0:07:20] } 20. f4?! { [%eval 0.84] } { Inaccuracy. Nc3 was best. } { [%clk 0:04:02] } 20... Qd6?! { [%eval 1.66] } { Inaccuracy. Nxe5 was best. } { [%clk 0:06:20] } 21. Nc3 { [%eval 2.13] [%clk 0:03:46] } 21... Re8 { [%eval 1.75] [%clk 0:05:37] } 22. Bg2 { [%eval 1.81] [%clk 0:03:14] } 22... Be6?! { [%eval 2.86] } { Inaccuracy. b5 was best. } { [%clk 0:04:54] } 23. f5 { [%eval 2.46] [%clk 0:02:41] } 23... Bg5 { [%eval 3.78] [%clk 0:04:32] } 24. Qf2 { [%eval 3.1] [%clk 0:01:17] } 24... Bd7 { [%eval 3.87] [%clk 0:04:08] } 25. Nxd7?? { [%eval 0.79] } { Blunder. h4 was best. } { [%clk 0:00:28] } 25... Qxd7 { [%eval 0.65] [%clk 0:04:11] } 26. Nxd5 { [%eval 0.03] [%clk 0:00:29] } 26... Ne7 { [%eval 0.22] [%clk 0:03:56] } 27. h4 { [%eval 0.0] [%clk 0:00:17] } 27... Nxd5?? { [%eval 1.86] } { Blunder. Bxh4 was best. } { [%clk 0:03:56] } 28. hxg5 { [%eval 2.07] [%clk 0:00:19] } 28... Qb5 { [%eval 2.46] [%clk 0:03:20] } 29. Bxd5 { [%eval 3.24] [%clk 0:00:15] } 29... Re2 { [%eval 3.92] [%clk 0:03:21] } 30. Bxf7+?? { [%eval -3.4] } { Blunder. Qxe2 was best. } { [%clk 0:00:08] } 30... Kxf7 { [%eval -3.32] [%clk 0:03:06] } 31. g6+?! { [%eval -4.62] } { Inaccuracy. Qxe2 was best. } { [%clk 0:00:08] } 31... Kg8 { [%eval -4.62] [%clk 0:03:08] } 32. Qxe2 { [%eval -4.63] [%clk 0:00:08] } 32... Qxe2 { [%eval -4.55] [%clk 0:03:10] } 33. d5 { [%eval -4.85] [%clk 0:00:11] } 33... Qxg4 { [%eval -4.78] [%clk 0:03:12] } 34. Rhf1 { [%eval -4.98] [%clk 0:00:13] } 34... Rd8 { [%eval -4.77] [%clk 0:03:11] } 35. d6 { [%eval -4.89] [%clk 0:00:16] } 35... Qg3 { [%eval -4.79] [%clk 0:02:55] } 36. d7 { [%eval -4.82] [%clk 0:00:17] } 36... Qc7 { [%eval -4.94] [%clk 0:02:52] } 37. Rfe1 { [%eval -4.9] [%clk 0:00:17] } 37... Kf8 { [%eval -4.98] [%clk 0:02:55] } 38. f6 { [%eval -5.16] [%clk 0:00:09] } 38... Rxd7 { [%eval -5.0] [%clk 0:02:43] } 0-1