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 20 984 49.65 % 0.70 42 624 1 604 2.13 1.05
Minegumo Japan 18 413 50.24 % 0.76 39 895 1 636 0.04 1.39
Neustrashimy U.S.S.R. 628 715 52.98 % 0.80 41 095 1 718 2.13 1.59
Black U.S.A. 977 847 53.68 % 0.77 40 771 1 725 1.57 1.38
ZF-6 Germany 329 414 49.57 % 0.70 36 691 1 639 1.72 1.07
Black B U.S.A. 14 687 50.43 % 0.60 34 386 1 599 1.49 0.98
Jäger Europe 372 312 52.58 % 0.77 45 230 1 699 0.21 1.57
Z-44 Germany 638 414 47.84 % 0.58 35 725 1 468 1.07 0.99
Somme U.K. 39 655 53.41 % 0.84 41 493 1 773 1.69 1.72
Halford U.S.A. 18 037 49.38 % 0.59 38 214 1 620 1.39 1.30
Friesland Europe 1 476 241 50.71 % 0.69 45 258 1 742 3.57 1.13
Velos Europe 49 044 50.40 % 0.70 36 355 1 633 2.32 1.21
Paolo Emilio Italy 348 378 51.59 % 0.89 44 952 1 612 0.61 1.13
Groningen The Netherlands 743 277 50.34 % 0.66 44 611 1 686 3.87 1.04
Benham U.S.A. 1 449 602 54.91 % 0.94 49 582 1 826 0.97 1.89
Tashkent U.S.S.R. 1 878 818 49.66 % 0.63 41 492 1 669 1.02 1.08
Kitakaze Japan 5 034 950 51.18 % 0.79 47 222 1 668 1.68 1.23
Lambros Katsonis Europe 168 217 49.47 % 0.59 34 059 1 537 1.20 0.87
Yūgumo Japan 7 388 258 48.57 % 0.68 35 894 1 395 0.62 1.09
Felix Schultz Germany 756 003 49.17 % 0.67 45 140 1 622 2.06 1.08
Chung Mu Pan-Asia 1 773 328 52.60 % 0.81 47 518 1 688 1.20 1.43
Östergötland Europe 2 910 054 50.69 % 0.73 41 501 1 676 3.02 1.39
Adriatico Italy 298 239 50.18 % 0.68 36 932 1 620 0.86 1.10
Z-46 Germany 3 187 701 51.46 % 0.71 36 885 1 579 1.04 1.15
Mogador France 1 278 838 52.43 % 0.82 45 621 1 714 1.12 1.32
Jutland U.K. 2 204 015 52.33 % 0.78 39 268 1 698 1.27 1.46
Udaloi U.S.S.R. 1 990 038 51.25 % 0.72 40 979 1 600 1.49 1.22
Fletcher U.S.A. 6 773 604 49.94 % 0.70 36 500 1 492 1.25 1.11
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