Wargaming did it again. With recent update some historical data for removed warships has been deleted. Unfortunately there is nothing I can do at the moment. The data for periods will repair itself. 😢😢😢

Baltimore (<31.05.2018)



Tier IX
Type Cruiser
Nation U.S.A.
Cost in credits 13 600 000
Designed after the treaty limitations had been lifted and built using the experience gained in World War II. Greater dimensions of the cruiser improved her survivability owing to a reinforced armor deck and enhanced protection for the propulsion. In addition to the main battery guns, the ship received dual-purpose artillery mounts.



Equipment

Configuration: Basic Top
Main Battery Hull Gun Fire Control System Engine
203 mm/55 Mk15
203 mm/55 Mk15
Baltimore (A)
Baltimore (A)
Mk9 mod. 1
Mk9 mod. 1
Propulsion: 120,000 hp
Propulsion: 120,000 hp
Baltimore (B)
Baltimore (B)
Mk9 mod. 2
Mk9 mod. 2

Stats

Survivability 52
Artillery 62
AA Defense 60
Maneuverability 60
Concealment 51

Statistics of same tier and type warships



Nation Battles Win rate Avg. frags Avg. damage Avg. experience Avg. planes destroyed Kills / deaths
Roon CLR Germany 3 586 50.92 % 0.57 67 646 1 674 4.07 1.32
Tianjin Pan-Asia 10 187 52.96 % 0.69 66 624 1 831 4.78 1.31
Alaska B U.S.A. 859 646 53.01 % 0.64 61 200 1 708 5.12 1.10
Mengchong Pan-Asia 4 162 50.24 % 0.54 52 822 1 554 5.13 0.83
Admiral Schröder Germany 74 949 55.22 % 0.65 55 289 1 763 7.53 0.97
AL Azuma Japan 467 532 50.20 % 0.56 68 597 1 615 4.28 1.26
Michelangelo Italy 47 738 55.92 % 0.87 69 517 1 986 4.92 1.39
Ägir Germany 724 954 51.87 % 0.60 59 372 1 598 4.97 1.02
Tulsa U.S.A. 67 787 51.50 % 0.56 46 893 1 612 6.47 0.97
Azuma Japan 2 902 827 51.03 % 0.62 73 151 1 660 3.95 1.45
Alaska U.S.A. 2 683 871 54.59 % 0.72 65 651 1 713 4.69 1.30
Dalian Pan-Asia 45 781 50.64 % 0.53 46 990 1 665 6.17 1.02
Hector Commonwealth 10 864 54.52 % 0.64 51 392 1 769 4.85 1.23
Kronshtadt U.S.S.R. 506 582 56.96 % 0.75 68 594 1 851 2.11 1.58
Van Speijk The Netherlands 14 457 59.00 % 0.79 76 507 2 105 9.28 1.87
Siegfried Germany 390 353 55.37 % 0.77 71 717 1 796 4.75 1.46
Carnot France 183 627 52.06 % 0.63 65 604 1 681 4.93 1.22
Vallejo U.S.A. 15 098 57.12 % 0.77 77 020 2 047 9.21 1.78
Riga U.S.S.R. 1 437 982 50.76 % 0.53 49 423 1 567 4.07 0.92
Takahashi Japan 141 452 52.74 % 0.59 48 115 1 722 8.91 1.26
Brest France 430 168 52.83 % 0.65 63 297 1 772 5.96 1.04
Drake U.K. 738 081 53.07 % 0.66 68 638 1 750 3.92 1.52
Seattle U.S.A. 1 580 758 49.94 % 0.50 44 193 1 480 5.40 0.90
Sejong Pan-Asia 371 594 50.58 % 0.58 44 648 1 658 8.05 1.03
Santander Pan-America 94 285 52.19 % 0.57 48 442 1 731 6.72 0.97
Andalucía Spain 114 728 52.38 % 0.69 65 218 1 781 3.85 1.31
Dmitri Donskoi U.S.S.R. 2 633 823 51.18 % 0.57 57 026 1 582 3.06 1.16
Brindisi Italy 1 828 687 50.73 % 0.64 64 724 1 697 3.12 1.47
Johan de Witt The Netherlands 647 166 53.34 % 0.63 62 401 1 828 8.48 1.20
Roon Germany 2 599 358 49.86 % 0.52 58 440 1 571 2.74 1.23
Saint-Louis France 1 350 563 50.70 % 0.61 63 860 1 626 3.55 1.29
Neptune U.K. 1 862 716 50.71 % 0.63 51 539 1 586 5.68 1.13
Buffalo U.S.A. 1 940 848 49.11 % 0.51 46 154 1 458 4.22 0.84
Encounter Commonwealth 1 679 55.65 % 0.82 75 285 2 001 3.38 1.99
Ibuki Japan 2 606 732 49.41 % 0.54 51 611 1 480 2.66 1.16
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