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 2 201 51.32 % 0.70 66 153 1 699 2.29 1.45
Chikuma II Golden Japan 220 54.17 % 0.91 63 410 1 945 1.67 1.75
Tianjin Pan-Asia 5 638 51.85 % 0.69 62 329 1 739 3.00 1.23
Chikuma II Japan 656 55.40 % 0.89 60 382 1 989 1.39 2.43
Alaska B U.S.A. 541 164 52.77 % 0.70 59 920 1 664 3.02 1.15
Mengchong Pan-Asia 2 265 50.83 % 0.59 51 822 1 510 3.19 0.85
Admiral Schröder Germany 92 003 54.35 % 0.74 58 564 1 737 4.27 1.15
AL Azuma Japan 132 092 50.16 % 0.67 69 769 1 657 2.58 1.43
Michelangelo Italy 55 105 55.41 % 0.99 70 229 1 967 3.29 1.53
Ägir Germany 652 505 51.58 % 0.66 58 036 1 564 3.06 1.06
Tulsa U.S.A. 84 326 50.01 % 0.59 45 880 1 526 3.16 0.99
Azuma Japan 734 294 51.38 % 0.72 72 167 1 679 2.61 1.54
Alaska U.S.A. 2 115 052 53.86 % 0.76 63 686 1 670 2.99 1.31
Dalian Pan-Asia 36 009 49.88 % 0.61 49 934 1 629 3.52 1.11
Hector Commonwealth 12 456 51.58 % 0.70 52 709 1 687 2.66 1.19
Kronshtadt U.S.S.R. 652 776 55.28 % 0.80 66 476 1 805 1.32 1.54
Van Speijk The Netherlands 7 905 55.29 % 0.82 71 881 1 942 5.27 1.66
Siegfried Germany 207 982 54.78 % 0.81 69 357 1 738 2.93 1.41
Carnot France 134 509 50.87 % 0.65 60 891 1 610 2.87 1.14
Vallejo U.S.A. 11 691 53.13 % 0.75 69 908 1 833 5.01 1.53
Riga U.S.S.R. 824 670 50.61 % 0.63 51 445 1 576 2.42 1.05
Takahashi Japan 110 017 51.49 % 0.63 50 497 1 632 4.47 1.21
Brest France 240 819 52.62 % 0.71 62 115 1 719 3.38 1.11
Drake U.K. 477 186 52.05 % 0.70 64 332 1 678 2.34 1.42
Seattle U.S.A. 1 662 923 49.38 % 0.56 44 919 1 425 3.03 0.95
Sejong Pan-Asia 231 564 50.11 % 0.67 50 318 1 604 4.44 1.13
Santander Pan-America 81 202 51.36 % 0.66 49 181 1 667 3.53 1.08
Andalucía Spain 73 836 51.70 % 0.72 60 030 1 700 2.37 1.26
Dmitri Donskoi U.S.S.R. 1 774 061 50.86 % 0.65 55 723 1 543 1.86 1.20
Brindisi Italy 814 840 50.85 % 0.74 62 328 1 686 2.10 1.52
Johan de Witt The Netherlands 337 834 52.27 % 0.66 60 427 1 728 4.90 1.20
Roon Germany 2 255 127 49.84 % 0.60 54 413 1 498 1.60 1.20
Saint-Louis France 957 017 50.53 % 0.67 60 513 1 559 2.01 1.29
Neptune U.K. 2 079 348 49.76 % 0.71 50 314 1 482 2.99 1.17
Buffalo U.S.A. 2 106 874 48.58 % 0.55 44 411 1 375 2.24 0.85
Encounter Commonwealth 4 085 50.47 % 0.72 59 496 1 690 1.56 1.29
Ibuki Japan 1 952 421 49.43 % 0.63 52 689 1 490 1.68 1.23
Compare