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	Kagero (A)	Type93 mod. 2	Type8 mod. 1	Propulsion: 52,000 hp

	Kagero (B)		Type8 mod. 2

	Kagero (C)

Stats

Survivability 27

Artillery 22

Torpedoes 28

AA Defense 15

Maneuverability 78

Concealment 90

Statistics of same tier and type warships

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	72.61 %	1.40	76 426	2 414	8.16	2.98
Minegumo	Japan	74.61 %	1.66	75 244	2 465	0.36	4.77
Neustrashimy	U.S.S.R.	78.33 %	1.36	63 051	2 497	7.89	5.31
Black	U.S.A.	79.04 %	1.29	61 545	2 448	6.43	4.37
ZF-6	Germany	75.26 %	1.40	62 527	2 451	6.51	3.36
Black B	U.S.A.	74.48 %	1.09	53 141	2 259	5.04	3.17
Jäger	Europe	72.71 %	1.23	67 309	2 331	1.14	4.15
Z-44	Germany	70.48 %	1.10	62 229	2 253	5.02	3.58
Somme	U.K.	78.87 %	1.37	59 926	2 516	6.07	5.19
Halford	U.S.A.	77.24 %	1.17	72 435	2 529	5.04	4.74
Friesland	Europe	75.47 %	1.27	73 973	2 580	13.39	3.46
Velos	Europe	75.90 %	1.38	66 039	2 549	8.29	4.48
Paolo Emilio	Italy	71.62 %	1.46	68 964	2 197	2.66	2.42
Groningen	The Netherlands	73.59 %	1.26	75 576	2 560	13.57	3.02
Benham	U.S.A.	76.70 %	1.51	73 275	2 464	3.70	6.48
Tashkent	U.S.S.R.	72.49 %	1.22	85 473	2 647	5.30	3.80
Kitakaze	Japan	70.83 %	1.34	74 963	2 408	6.62	3.18
Lambros Katsonis	Europe	72.35 %	1.12	61 006	2 206	4.79	2.30
Yūgumo	Japan	69.22 %	1.23	58 910	2 171	3.43	3.48
Felix Schultz	Germany	70.78 %	1.27	86 562	2 378	7.05	3.40
Chung Mu	Pan-Asia	76.14 %	1.37	70 568	2 386	6.09	4.59
Östergötland	Europe	73.01 %	1.25	64 174	2 432	11.73	4.30
Adriatico	Italy	73.05 %	1.28	67 084	2 379	3.97	3.41
Z-46	Germany	76.06 %	1.37	64 447	2 440	5.42	3.99
Mogador	France	74.53 %	1.49	78 945	2 447	4.55	3.94
Jutland	U.K.	75.95 %	1.37	63 289	2 455	5.56	5.15
Udaloi	U.S.S.R.	75.61 %	1.34	82 268	2 515	8.58	4.62
Fletcher	U.S.A.	72.35 %	1.26	58 862	2 290	7.53	3.74

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	68.21 %	1.26	68 980	2 258	7.18	2.42
Minegumo	Japan	71.92 %	1.50	70 142	2 375	0.32	4.17
Neustrashimy	U.S.S.R.	74.38 %	1.26	59 072	2 407	7.11	4.34
Black	U.S.A.	75.90 %	1.21	57 938	2 373	5.79	3.75
ZF-6	Germany	71.56 %	1.29	58 430	2 355	5.92	2.85
Black B	U.S.A.	70.53 %	1.04	48 831	2 204	4.61	2.52
Jäger	Europe	69.46 %	1.13	62 819	2 245	1.00	3.37
Z-44	Germany	66.98 %	1.04	57 911	2 164	4.48	2.97
Somme	U.K.	75.74 %	1.29	56 354	2 424	5.53	4.15
Halford	U.S.A.	73.74 %	1.05	66 384	2 427	4.40	3.90
Friesland	Europe	71.41 %	1.17	67 859	2 466	11.99	2.86
Velos	Europe	72.32 %	1.27	60 415	2 445	7.74	3.81
Paolo Emilio	Italy	67.86 %	1.36	65 127	2 114	2.38	2.12
Groningen	The Netherlands	69.76 %	1.15	69 335	2 444	12.51	2.52
Benham	U.S.A.	73.63 %	1.41	69 286	2 382	3.25	5.28
Tashkent	U.S.S.R.	68.62 %	1.13	78 950	2 531	4.76	3.11
Kitakaze	Japan	67.37 %	1.23	69 557	2 309	6.03	2.71
Lambros Katsonis	Europe	67.17 %	1.01	55 180	2 103	4.26	1.92
Yūgumo	Japan	65.64 %	1.12	54 483	2 063	2.99	2.88
Felix Schultz	Germany	67.25 %	1.15	80 422	2 283	6.40	2.79
Chung Mu	Pan-Asia	72.85 %	1.28	66 039	2 289	5.38	3.74
Östergötland	Europe	69.36 %	1.14	59 939	2 339	10.53	3.50
Adriatico	Italy	69.62 %	1.15	61 442	2 277	3.62	2.81
Z-46	Germany	72.75 %	1.27	59 262	2 329	4.80	3.36
Mogador	France	70.96 %	1.38	72 773	2 353	4.10	3.29
Jutland	U.K.	72.55 %	1.29	58 854	2 365	5.00	4.15
Udaloi	U.S.S.R.	71.82 %	1.24	75 193	2 395	7.27	3.77
Fletcher	U.S.A.	68.72 %	1.18	54 692	2 187	6.40	3.09

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	62.41 %	1.05	58 579	2 061	6.01	1.85
Minegumo	Japan	67.91 %	1.31	62 064	2 247	0.23	3.16
Neustrashimy	U.S.S.R.	68.72 %	1.13	52 973	2 259	6.02	3.25
Black	U.S.A.	70.58 %	1.10	52 652	2 247	4.95	2.94
ZF-6	Germany	65.41 %	1.14	52 016	2 188	5.05	2.22
Black B	U.S.A.	64.83 %	0.92	44 077	2 095	3.77	1.88
Jäger	Europe	63.81 %	1.00	56 312	2 090	0.81	2.53
Z-44	Germany	61.59 %	0.93	52 049	2 014	3.72	2.25
Somme	U.K.	68.91 %	1.12	50 560	2 266	4.71	3.03
Halford	U.S.A.	67.22 %	0.93	58 448	2 279	3.65	3.02
Friesland	Europe	65.38 %	1.02	59 356	2 291	10.13	2.16
Velos	Europe	65.39 %	1.10	53 313	2 258	6.80	2.75
Paolo Emilio	Italy	62.96 %	1.23	59 323	1 980	1.99	1.74
Groningen	The Netherlands	64.15 %	0.98	60 601	2 259	10.92	1.94
Benham	U.S.A.	68.61 %	1.26	63 192	2 252	2.69	3.98
Tashkent	U.S.S.R.	63.02 %	0.97	68 927	2 342	3.98	2.31
Kitakaze	Japan	62.65 %	1.09	61 590	2 149	5.16	2.10
Lambros Katsonis	Europe	61.50 %	0.84	46 830	1 936	3.59	1.46
Yūgumo	Japan	60.36 %	0.97	47 841	1 891	2.38	2.15
Felix Schultz	Germany	61.64 %	1.01	71 459	2 126	5.44	2.11
Chung Mu	Pan-Asia	66.73 %	1.13	59 326	2 141	4.36	2.80
Östergötland	Europe	63.88 %	1.02	53 737	2 190	8.88	2.66
Adriatico	Italy	64.14 %	1.01	53 212	2 112	3.08	2.12
Z-46	Germany	66.55 %	1.10	51 978	2 153	3.88	2.54
Mogador	France	65.46 %	1.19	63 832	2 198	3.46	2.47
Jutland	U.K.	67.10 %	1.14	52 400	2 220	4.16	3.05
Udaloi	U.S.S.R.	66.25 %	1.09	64 834	2 208	5.63	2.80
Fletcher	U.S.A.	63.38 %	1.03	48 709	2 019	4.91	2.35

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	56.95 %	0.87	49 728	1 897	5.05	1.38
Minegumo	Japan	63.50 %	1.12	54 457	2 083	0.16	2.43
Neustrashimy	U.S.S.R.	63.32 %	1.00	47 244	2 103	5.13	2.52
Black	U.S.A.	65.03 %	0.97	47 644	2 103	4.18	2.31
ZF-6	Germany	60.02 %	0.98	45 859	2 024	4.28	1.73
Black B	U.S.A.	59.54 %	0.78	39 303	1 951	3.15	1.46
Jäger	Europe	59.19 %	0.88	50 316	1 941	0.63	1.97
Z-44	Germany	56.54 %	0.81	46 250	1 853	3.11	1.73
Somme	U.K.	63.05 %	0.96	45 118	2 088	4.00	2.24
Halford	U.S.A.	61.53 %	0.80	51 764	2 110	3.04	2.28
Friesland	Europe	59.84 %	0.88	51 860	2 117	8.62	1.68
Velos	Europe	58.99 %	0.95	45 262	2 069	5.84	2.03
Paolo Emilio	Italy	58.30 %	1.10	53 902	1 840	1.64	1.47
Groningen	The Netherlands	58.28 %	0.84	52 651	2 077	9.54	1.49
Benham	U.S.A.	63.78 %	1.13	57 634	2 122	2.21	3.08
Tashkent	U.S.S.R.	57.86 %	0.83	59 557	2 148	3.27	1.75
Kitakaze	Japan	58.12 %	0.95	54 258	1 987	4.39	1.66
Lambros Katsonis	Europe	56.30 %	0.71	39 504	1 774	2.99	1.10
Yūgumo	Japan	55.64 %	0.83	41 750	1 714	1.85	1.64
Felix Schultz	Germany	56.36 %	0.87	62 956	1 967	4.60	1.62
Chung Mu	Pan-Asia	61.29 %	0.98	52 926	1 985	3.49	2.14
Östergötland	Europe	58.85 %	0.88	47 922	2 037	7.51	2.05
Adriatico	Italy	58.19 %	0.86	45 943	1 952	2.60	1.62
Z-46	Germany	61.42 %	0.96	45 668	1 981	3.06	1.96
Mogador	France	60.28 %	1.04	55 706	2 039	2.93	1.90
Jutland	U.K.	61.87 %	0.99	46 443	2 070	3.45	2.37
Udaloi	U.S.S.R.	60.95 %	0.94	55 701	2 019	4.35	2.12
Fletcher	U.S.A.	58.46 %	0.89	43 198	1 848	3.74	1.83

	Nation	Battles	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	16 747	48.95 %	0.63	37 923	1 621	3.82	0.96
Minegumo	Japan	12 318	53.21 %	0.83	41 803	1 759	0.10	1.74
Neustrashimy	U.S.S.R.	268 828	54.49 %	0.77	38 252	1 812	3.91	1.71
Black	U.S.A.	345 902	55.52 %	0.74	38 656	1 808	3.11	1.55
ZF-6	Germany	218 230	50.51 %	0.71	35 700	1 726	3.13	1.16
Black B	U.S.A.	10 370	51.42 %	0.60	32 330	1 675	2.37	1.06
Jäger	Europe	123 355	51.55 %	0.69	40 930	1 685	0.42	1.44
Z-44	Germany	233 173	48.68 %	0.61	36 304	1 579	2.20	1.18
Somme	U.K.	29 588	54.43 %	0.76	37 358	1 820	3.09	1.68
Halford	U.S.A.	27 551	52.97 %	0.60	40 487	1 803	2.26	1.59
Friesland	Europe	515 368	50.72 %	0.63	39 677	1 793	6.50	1.11
Velos	Europe	10 499	51.15 %	0.68	33 690	1 732	4.48	1.37
Paolo Emilio	Italy	262 684	50.69 %	0.87	43 905	1 594	1.15	1.09
Groningen	The Netherlands	426 900	50.45 %	0.61	40 503	1 762	7.39	1.01
Benham	U.S.A.	516 958	55.44 %	0.91	47 600	1 876	1.58	2.15
Tashkent	U.S.S.R.	851 197	49.97 %	0.62	45 606	1 830	2.21	1.20
Kitakaze	Japan	3 810 509	50.58 %	0.71	42 592	1 688	3.18	1.15
Lambros Katsonis	Europe	73 952	50.67 %	0.59	34 135	1 660	2.38	0.93
Yūgumo	Japan	3 222 947	48.43 %	0.63	32 505	1 447	1.20	1.13
Felix Schultz	Germany	417 936	49.13 %	0.66	50 097	1 726	3.60	1.16
Chung Mu	Pan-Asia	660 589	53.22 %	0.77	43 620	1 749	2.52	1.52
Östergötland	Europe	1 217 737	51.37 %	0.68	38 765	1 777	5.82	1.44
Adriatico	Italy	135 517	51.76 %	0.68	38 100	1 748	1.95	1.21
Z-46	Germany	712 069	53.75 %	0.74	37 198	1 731	2.12	1.39
Mogador	France	526 583	52.47 %	0.79	43 952	1 774	2.22	1.32
Jutland	U.K.	969 258	53.92 %	0.76	37 248	1 807	2.49	1.62
Udaloi	U.S.S.R.	582 994	53.11 %	0.73	43 835	1 752	2.97	1.50
Fletcher	U.S.A.	2 328 517	50.90 %	0.68	34 391	1 580	2.53	1.26

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