Event: European Woman Chess Championship
Site: Prague, Hotel Don Giovanni, Czech Republic
Date: 2022-08-31
White: Garcia Martin, Marta
WhiteElo: 2305
Black: Lhotska, Anna
BlackElo: 2081
Result: 0-1
ECO: D31
Opening: Queen's Gambit Declined: Janowski Variation
Variant: Standard
TimeControl: 90 min. + 30 min. +30 sec. per move

1. d4 { [%eval 0.0] [%clk 1:28:36] } 1... d5 { [%eval 0.38] [%clk 1:30:47] } 2. c4 { [%eval 0.27] [%clk 1:29:00] } 2... e6 { [%eval 0.3] [%clk 1:31:12] } 3. Nc3 { [%eval 0.39] [%clk 1:29:12] } 3... a6 { [%eval 0.41] [%clk 1:31:34] } 4. cxd5 { [%eval 0.4] [%clk 1:27:09] } 4... exd5 { [%eval 0.35] [%clk 1:31:47] } 5. g3 { [%eval -0.09] [%clk 1:15:24] } 5... c6 { [%eval 0.09] [%clk 1:28:19] } 6. Bg2 { [%eval 0.0] [%clk 1:15:27] } 6... Be7 { [%eval 0.23] [%clk 1:16:48] } 7. Nh3 { [%eval -0.12] [%clk 1:07:53] } 7... h6?! { [%eval 0.61] } { Inaccuracy. Nf6 was best. } { [%clk 1:15:22] } 8. Nf4 { [%eval 0.27] [%clk 1:04:17] } 8... Nf6 { [%eval 0.49] [%clk 1:14:43] } 9. O-O { [%eval 0.05] [%clk 1:04:41] } 9... Bf5?! { [%eval 1.07] } { Inaccuracy. O-O was best. } { [%clk 1:13:41] } 10. Kh1?! { [%eval 0.45] } { Inaccuracy. f3 was best. } { [%clk 0:46:31] } 10... O-O { [%eval 0.58] [%clk 1:10:41] } 11. f3 { [%eval 0.44] [%clk 0:44:13] } 11... Qd7? { [%eval 1.72] } { Mistake. Bb4 was best. } { [%clk 0:38:47] } 12. e4 { [%eval 1.68] [%clk 0:42:18] } 12... dxe4?! { [%eval 2.8] } { Inaccuracy. Bh7 was best. } { [%clk 0:35:27] } 13. fxe4 { [%eval 2.05] [%clk 0:42:41] } 13... Bg4 { [%eval 2.55] [%clk 0:35:19] } 14. Qd3 { [%eval 2.12] [%clk 0:27:05] } 14... Rd8? { [%eval 3.78] } { Mistake. a5 was best. } { [%clk 0:33:34] } 15. h3 { [%eval 2.58] [%clk 0:17:27] } 15... g5? { [%eval 4.93] } { Mistake. Be6 was best. } { [%clk 0:23:04] } 16. hxg4 { [%eval 5.19] [%clk 0:17:32] } 16... gxf4 { [%eval 5.39] [%clk 0:22:41] } 17. gxf4?! { [%eval 3.86] } { Inaccuracy. e5 was best. } { [%clk 0:17:12] } 17... Qxg4 { [%eval 4.12] [%clk 0:17:17] } 18. Rg1?? { [%eval 1.88] } { Blunder. Rf3 was best. } { [%clk 0:10:35] } 18... Kh8 { [%eval 2.32] [%clk 0:17:29] } 19. Rd1?? { [%eval -2.59] } { Blunder. Qh3 was best. } { [%clk 0:02:58] } 19... Rxd4 { [%eval -2.44] [%clk 0:15:57] } 20. Qxd4 { [%eval -4.8] [%clk 0:01:14] } 20... Qh5+ { [%eval -2.56] [%clk 0:16:19] } 21. Kg1 { [%eval -4.43] [%clk 0:01:42] } 21... Bc5 { [%eval -3.18] [%clk 0:16:42] } 22. Be3? { [%eval -5.26] } { Mistake. e5 was best. } { [%clk 0:02:09] } 22... Bxd4 { [%eval -5.3] [%clk 0:16:49] } 23. Bxd4 { [%eval -5.44] [%clk 0:02:13] } 23... Nd7 { [%eval -5.25] [%clk 0:16:54] } 24. e5 { [%eval -5.53] [%clk 0:00:57] } 24... c5 { [%eval -5.57] [%clk 0:16:24] } 25. Bf2 { [%eval -5.39] [%clk 0:00:34] } 25... Rg8 { [%eval -5.62] [%clk 0:15:55] } 26. Rd3 { [%eval -6.31] [%clk 0:00:58] } 26... Ng4? { [%eval -3.9] } { Mistake. Qf5 was best. } { [%clk 0:15:14] } 27. Bg3 { [%eval -4.25] [%clk 0:00:38] } 27... Nb6? { [%eval -2.61] } { Mistake. Nf8 was best. } { [%clk 0:08:45] } 28. Ne4?! { [%eval -4.0] } { Inaccuracy. Re1 was best. } { [%clk 0:00:37] } 28... c4 { [%eval -3.4] [%clk 0:07:49] } 29. Rf3?! { [%eval -4.73] } { Inaccuracy. Rd2 was best. } { [%clk 0:00:34] } 29... Nd5 { [%eval -4.9] [%clk 0:07:33] } 30. Re1 { [%eval -5.13] [%clk 0:01:02] } 30... Qf5?! { [%eval -3.28] } { Inaccuracy. Ne7 was best. } { [%clk 0:06:40] } 31. Bh3 { [%eval -4.0] [%clk 0:00:38] } 31... Qe6 { [%eval -3.3] [%clk 0:05:42] } 32. Nd6 { [%eval -3.04] [%clk 0:00:44] } 32... f5 { [%eval -3.11] [%clk 0:04:26] } 33. Bg2 { [%eval -3.67] [%clk 0:00:33] } 33... b5 { [%eval -3.78] [%clk 0:04:22] } 34. a4 { [%eval -4.1] [%clk 0:00:40] } 34... Rb8 { [%eval -3.38] [%clk 0:04:05] } 35. axb5 { [%eval -3.36] [%clk 0:00:56] } 35... axb5 { [%eval -3.36] [%clk 0:04:31] } 36. Ra3 { [%eval -4.01] [%clk 0:01:16] } 36... c3?! { [%eval -2.57] } { Inaccuracy. b4 was best. } { [%clk 0:04:09] } 37. bxc3 { [%eval -3.05] [%clk 0:01:03] } 37... Nde3 { [%eval -2.9] [%clk 0:03:55] } 38. Bf3?! { [%eval -4.48] } { Inaccuracy. Ra7 was best. } { [%clk 0:00:39] } 38... Nc2 { [%eval -4.5] [%clk 0:03:49] } 39. Rea1?! { [%eval -6.34] } { Inaccuracy. Ra7 was best. } { [%clk 0:00:33] } 39... Nxa1 { [%eval -5.97] [%clk 0:04:01] } 40. Rxa1 { [%eval -6.71] [%clk 0:01:02] } 40... Rg8 { [%eval -6.21] [%clk 0:02:59] } 41. Ra7 { [%eval -7.42] [%clk 0:22:00] } 41... Nxe5 { [%eval -6.87] [%clk 0:27:10] } 42. fxe5 { [%eval -6.51] [%clk 0:22:20] } 42... Rxg3+ { [%eval -6.72] [%clk 0:27:28] } 43. Kf2 { [%eval -7.22] [%clk 0:22:37] } 43... Rg7 { [%eval -6.9] [%clk 0:25:26] } 44. Ra8+ { [%eval -6.86] [%clk 0:23:02] } 44... Kh7 { [%eval -7.11] [%clk 0:25:07] } 45. Ne8 { [%eval -10.36] [%clk 0:23:29] } 45... Re7 { [%eval -7.25] [%clk 0:23:01] } 46. Nf6+ { [%eval -7.62] [%clk 0:23:48] } 46... Kg7 { [%eval -7.65] [%clk 0:22:55] } 47. Nh5+ { [%eval -7.5] [%clk 0:15:48] } 47... Kf7 { [%eval -8.11] [%clk 0:22:43] } 48. Nf4 { [%eval -9.52] [%clk 0:16:02] } 48... Qxe5 { [%eval -9.41] [%clk 0:21:55] } 0-1