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. 😢😢😢

Kagero (< 01.12.2016)



Tier IX
Type Destroyer
Nation Japan
Cost in credits 13 200 000
Due to a good balance of her main characteristics, Kagero was the most successful destroyer design in the Imperial Japanese Navy. She had extremely long-range, high-speed, oxygen-fueled torpedoes that made her considerably superior to all ships of her type in terms of torpedo armament power.



Equipment

Configuration: Basic Top
Main Battery Hull Torpedoes Gun Fire Control System Engine
127 mm/50 Type3
127 mm/50 Type3
Kagero (A)
Kagero (A)
Type93 mod. 2
Type93 mod. 2
Type8 mod. 1
Type8 mod. 1
Propulsion: 52,000 hp
Propulsion: 52,000 hp
Kagero (B)
Kagero (B)
Type8 mod. 2
Type8 mod. 2
Kagero (C)
Kagero (C)

Stats

Survivability 27
Artillery 22
Torpedoes 28
AA Defense 15
Maneuverability 78
Concealment 90

Statistics of same tier and type warships



Nation Battles Win rate Avg. frags Avg. damage Avg. experience Avg. planes destroyed Kills / deaths
STAR Kitakaze Japan 21 845 49.62 % 0.70 42 499 1 602 2.13 1.04
Minegumo Japan 25 713 50.10 % 0.75 39 198 1 627 0.04 1.35
Neustrashimy U.S.S.R. 637 075 52.95 % 0.80 41 056 1 717 2.13 1.59
Black U.S.A. 991 761 53.63 % 0.77 40 708 1 723 1.57 1.37
ZF-6 Germany 331 440 49.57 % 0.70 36 692 1 639 1.72 1.07
Black B U.S.A. 15 823 50.54 % 0.61 34 560 1 606 1.47 0.99
Jäger Europe 398 947 52.52 % 0.76 45 179 1 700 0.21 1.57
Z-44 Germany 650 997 47.85 % 0.58 35 693 1 468 1.07 0.99
Somme U.K. 43 948 53.33 % 0.84 41 500 1 777 1.70 1.71
Halford U.S.A. 20 384 49.63 % 0.59 38 177 1 622 1.40 1.29
Friesland Europe 1 483 928 50.71 % 0.69 45 252 1 742 3.57 1.13
Velos Europe 52 209 50.23 % 0.69 36 141 1 628 2.32 1.20
Paolo Emilio Italy 352 403 51.57 % 0.89 44 934 1 610 0.60 1.13
Groningen The Netherlands 756 986 50.32 % 0.66 44 577 1 686 3.87 1.04
Benham U.S.A. 1 462 952 54.91 % 0.94 49 570 1 826 0.97 1.89
Tashkent U.S.S.R. 1 887 622 49.65 % 0.63 41 459 1 668 1.02 1.07
Kitakaze Japan 5 075 400 51.17 % 0.79 47 180 1 667 1.68 1.23
Lambros Katsonis Europe 177 577 49.45 % 0.59 34 051 1 537 1.21 0.87
Yūgumo Japan 7 438 305 48.56 % 0.67 35 865 1 395 0.62 1.09
Felix Schultz Germany 765 376 49.14 % 0.66 45 066 1 620 2.07 1.08
Chung Mu Pan-Asia 1 789 121 52.57 % 0.81 47 470 1 687 1.20 1.42
Östergötland Europe 2 931 314 50.67 % 0.73 41 462 1 676 3.02 1.39
Adriatico Italy 304 132 50.17 % 0.68 36 886 1 619 0.85 1.09
Z-46 Germany 3 205 455 51.46 % 0.71 36 862 1 579 1.04 1.15
Mogador France 1 288 368 52.41 % 0.82 45 580 1 713 1.12 1.32
Jutland U.K. 2 217 852 52.33 % 0.78 39 230 1 698 1.28 1.45
Udaloi U.S.S.R. 1 999 911 51.25 % 0.71 40 952 1 599 1.49 1.22
Fletcher U.S.A. 6 812 334 49.93 % 0.70 36 469 1 492 1.25 1.11
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