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1e4+0.4e5+1.72Nf3?!+0.9...Inaccuracy. The following was best.2.Nc3Nc63.Nf3[...]2...Nc6+1.43Bb5+1.1Bc5?!+1.7Inaccuracy. The following was best.3...Nf64.Nc34O-O+1.2Nf6+1.65Nc3+1.4d6+1.16d4+0.9exd4??+2.9Blunder. The following was best.6...Bxd47.Bg57Nxd4??−5.0...Blunder. The following was best.7.Nd57...Bxd4−4.68Qxd4−5.9O-O?−3.3Mistake. The following was best.8...@h39Bxc6−1.0bxc6??+2.3Blunder. The following was best.9...@h310.e510Bg5??−9.0...Blunder. The following was best.10.@h6gxh610...B@e5−8.711Qd3−10.2Bxh2+−11.212Kxh2−11.7Ng4+−12.213Kh1−12.0Qxg5−11.314@h3−18.3Ne5−18.815Qg3−22.5Qxg3−21.616fxg3−23.6Bxh3−24.4
0-1
White time out, Black is victorious
FEN
[Event "Crazyhouse Chess - MSO Grand Prix 2023"] [Site "https://playstrategy.org/VzoU88qu"] [Date "2023.03.10"] [P1 "FluffyBear"] [P2 "kspttw"] [Result "0-1"] [UTCDate "2023.03.10"] [UTCTime "19:57:15"] [P1Elo "1768"] [P2Elo "2089"] [P1RatingDiff "-31"] [P2RatingDiff "+8"] [Variant "Crazyhouse"] [TimeControl "5+3"] [ECO "C65"] [Opening "Ruy Lopez: Berlin Defense, Beverwijk Variation"] [Termination "Time forfeit"] [Annotator "playstrategy.org"] 1. e4 e5 2. Nf3?! { (1.65 → 0.90) Inaccuracy. The following was best. } (2. Nc3 Nc6 3. Nf3 Bc5 4. Bc4 Nf6 5. d3 O-O 6. O-O d6 7. Nd5 Be6 8. Bg5 Bxd5) 2... Nc6 3. Bb5 Bc5?! { (1.09 → 1.69) Inaccuracy. The following was best. } (3... Nf6 4. Nc3) 4. O-O Nf6 { C65 Ruy Lopez: Berlin Defense, Beverwijk Variation } 5. Nc3 d6 6. d4 exd4?? { (0.86 → 2.94) Blunder. The following was best. } (6... Bxd4 7. Bg5) 7. Nxd4?? { (2.94 → -4.97) Blunder. The following was best. } (7. Nd5) 7... Bxd4 8. Qxd4 O-O? { (-5.87 → -3.31) Mistake. The following was best. } (8... P@h3) 9. Bxc6 bxc6?? { (-1.01 → 2.29) Blunder. The following was best. } (9... P@h3 10. e5) 10. Bg5?? { (2.29 → -9.05) Blunder. The following was best. } (10. P@h6 gxh6) 10... B@e5 11. Qd3 Bxh2+ 12. Kxh2 Ng4+ 13. Kh1 Qxg5 14. P@h3 Ne5 15. Qg3 Qxg3 16. fxg3 Bxh3 { P2 wins on time. } 0-1
Computer analysisMove timesCrosstableFEN & PGN
1 inaccuracy
0 mistakes
2 blunders
148Average centipawn loss
Learn from your mistakes
1 inaccuracy
1 mistake
2 blunders
71Average centipawn loss
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