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	75.40 %	1.50	85 959	2 351	5.12	3.21
Minegumo	Japan	69.46 %	1.63	72 612	2 257	0.18	3.70
Neustrashimy	U.S.S.R.	75.70 %	1.50	72 651	2 440	4.75	4.96
Black	U.S.A.	76.56 %	1.44	67 305	2 384	3.61	4.24
ZF-6	Germany	74.02 %	1.52	70 696	2 394	4.06	3.54
Black B	U.S.A.	72.61 %	1.30	65 945	2 304	3.28	3.02
Jäger	Europe	71.89 %	1.29	69 440	2 211	0.64	3.74
Z-44	Germany	69.23 %	1.20	62 294	2 130	2.77	3.20
Somme	U.K.	76.16 %	1.59	72 724	2 452	3.50	5.08
Halford	U.S.A.	73.19 %	1.27	67 455	2 264	3.26	4.64
Friesland	Europe	74.05 %	1.48	87 885	2 556	7.96	3.67
Velos	Europe	70.83 %	1.34	67 734	2 302	5.43	3.28
Paolo Emilio	Italy	72.03 %	1.63	74 124	2 205	1.69	2.65
Groningen	The Netherlands	73.06 %	1.38	82 241	2 471	8.33	3.24
Benham	U.S.A.	76.10 %	1.57	76 536	2 409	2.48	5.29
Tashkent	U.S.S.R.	72.50 %	1.35	89 218	2 581	3.19	4.14
Kitakaze	Japan	72.34 %	1.55	86 352	2 432	4.09	3.72
Lambros Katsonis	Europe	70.32 %	1.26	67 114	2 139	2.85	2.47
Yūgumo	Japan	68.58 %	1.36	64 904	2 115	1.96	3.56
Felix Schultz	Germany	72.09 %	1.45	91 971	2 391	4.70	3.98
Chung Mu	Pan-Asia	75.07 %	1.54	78 134	2 351	3.34	4.55
Östergötland	Europe	71.77 %	1.38	68 421	2 361	7.01	4.37
Adriatico	Italy	72.57 %	1.35	69 457	2 279	2.12	3.28
Z-46	Germany	74.74 %	1.50	72 873	2 376	2.97	4.04
Mogador	France	75.17 %	1.68	87 850	2 476	2.78	4.51
Jutland	U.K.	75.13 %	1.56	72 753	2 447	3.35	5.03
Udaloi	U.S.S.R.	74.08 %	1.49	88 664	2 435	4.79	4.67
Fletcher	U.S.A.	70.15 %	1.35	63 525	2 177	3.92	3.32

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	71.48 %	1.37	77 784	2 265	4.48	2.82
Minegumo	Japan	66.46 %	1.45	66 300	2 168	0.13	3.27
Neustrashimy	U.S.S.R.	72.77 %	1.39	66 779	2 337	4.22	4.12
Black	U.S.A.	73.09 %	1.33	62 819	2 295	3.19	3.53
ZF-6	Germany	70.30 %	1.39	64 682	2 292	3.62	2.96
Black B	U.S.A.	67.76 %	1.19	60 604	2 199	3.05	2.67
Jäger	Europe	68.69 %	1.21	65 304	2 135	0.53	3.20
Z-44	Germany	65.71 %	1.08	58 054	2 038	2.43	2.62
Somme	U.K.	72.57 %	1.47	66 847	2 337	3.29	4.14
Halford	U.S.A.	69.94 %	1.16	63 448	2 176	2.93	3.71
Friesland	Europe	70.43 %	1.35	80 345	2 436	7.02	3.07
Velos	Europe	67.21 %	1.26	62 034	2 215	4.84	2.85
Paolo Emilio	Italy	68.76 %	1.52	69 653	2 120	1.47	2.33
Groningen	The Netherlands	69.62 %	1.27	75 869	2 353	7.51	2.69
Benham	U.S.A.	72.98 %	1.47	72 338	2 329	2.14	4.50
Tashkent	U.S.S.R.	68.82 %	1.24	81 476	2 438	2.77	3.37
Kitakaze	Japan	69.00 %	1.42	79 621	2 316	3.63	3.11
Lambros Katsonis	Europe	66.69 %	1.10	59 456	2 027	2.50	2.03
Yūgumo	Japan	64.97 %	1.24	60 120	2 002	1.69	2.85
Felix Schultz	Germany	67.91 %	1.34	84 191	2 279	4.17	3.22
Chung Mu	Pan-Asia	71.13 %	1.41	72 886	2 247	2.93	3.73
Östergötland	Europe	68.17 %	1.28	64 027	2 261	6.21	3.60
Adriatico	Italy	67.61 %	1.24	62 469	2 168	1.84	2.70
Z-46	Germany	70.85 %	1.38	66 018	2 258	2.60	3.33
Mogador	France	72.43 %	1.54	80 608	2 369	2.44	3.70
Jutland	U.K.	71.54 %	1.42	66 745	2 343	2.94	4.10
Udaloi	U.S.S.R.	70.46 %	1.37	80 342	2 310	3.99	3.82
Fletcher	U.S.A.	66.58 %	1.24	58 818	2 065	3.27	2.74

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	65.18 %	1.19	66 143	2 067	3.72	2.12
Minegumo	Japan	61.79 %	1.28	58 304	2 035	0.10	2.67
Neustrashimy	U.S.S.R.	66.28 %	1.23	58 753	2 173	3.50	3.13
Black	U.S.A.	67.66 %	1.18	56 240	2 144	2.62	2.68
ZF-6	Germany	64.60 %	1.21	56 351	2 109	3.01	2.23
Black B	U.S.A.	63.20 %	1.05	52 595	2 030	2.43	2.06
Jäger	Europe	63.68 %	1.06	58 809	2 012	0.41	2.53
Z-44	Germany	59.98 %	0.94	51 713	1 886	1.96	1.96
Somme	U.K.	66.52 %	1.27	57 955	2 167	2.69	3.07
Halford	U.S.A.	64.75 %	0.99	57 193	2 037	2.34	2.77
Friesland	Europe	64.70 %	1.17	69 852	2 250	5.84	2.33
Velos	Europe	62.22 %	1.10	53 063	2 055	4.00	2.21
Paolo Emilio	Italy	63.78 %	1.36	62 912	1 974	1.17	1.90
Groningen	The Netherlands	63.96 %	1.09	66 547	2 172	6.35	2.07
Benham	U.S.A.	67.76 %	1.34	66 061	2 202	1.69	3.48
Tashkent	U.S.S.R.	62.99 %	1.06	69 953	2 212	2.18	2.44
Kitakaze	Japan	63.68 %	1.24	69 926	2 134	3.01	2.36
Lambros Katsonis	Europe	60.91 %	0.93	49 311	1 845	1.97	1.51
Yūgumo	Japan	60.17 %	1.07	52 904	1 825	1.31	2.16
Felix Schultz	Germany	62.51 %	1.14	72 681	2 099	3.46	2.35
Chung Mu	Pan-Asia	65.41 %	1.25	64 985	2 084	2.33	2.77
Östergötland	Europe	62.81 %	1.11	57 376	2 099	5.15	2.67
Adriatico	Italy	62.01 %	1.06	52 837	1 987	1.48	2.00
Z-46	Germany	65.11 %	1.20	56 806	2 070	2.06	2.47
Mogador	France	65.96 %	1.33	69 911	2 190	1.99	2.71
Jutland	U.K.	65.94 %	1.22	58 284	2 169	2.37	3.00
Udaloi	U.S.S.R.	64.80 %	1.19	68 370	2 106	3.00	2.76
Fletcher	U.S.A.	61.33 %	1.07	51 619	1 886	2.49	2.06

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	59.24 %	0.97	55 176	1 873	3.10	1.60
Minegumo	Japan	57.48 %	1.08	51 999	1 913	0.08	2.12
Neustrashimy	U.S.S.R.	61.00 %	1.06	51 817	2 008	2.94	2.37
Black	U.S.A.	62.37 %	1.02	49 844	1 985	2.15	2.07
ZF-6	Germany	58.64 %	1.00	48 802	1 924	2.49	1.69
Black B	U.S.A.	57.68 %	0.86	44 814	1 857	2.01	1.55
Jäger	Europe	59.28 %	0.94	53 133	1 890	0.32	2.01
Z-44	Germany	55.03 %	0.79	45 305	1 720	1.57	1.48
Somme	U.K.	61.43 %	1.09	50 625	2 010	2.23	2.31
Halford	U.S.A.	60.13 %	0.85	50 359	1 897	1.87	2.11
Friesland	Europe	59.46 %	0.99	60 826	2 068	4.96	1.79
Velos	Europe	57.06 %	0.93	46 063	1 898	3.32	1.65
Paolo Emilio	Italy	59.14 %	1.19	56 298	1 828	0.92	1.57
Groningen	The Netherlands	58.86 %	0.93	58 279	1 991	5.40	1.61
Benham	U.S.A.	63.02 %	1.20	59 992	2 067	1.35	2.72
Tashkent	U.S.S.R.	57.77 %	0.90	59 131	1 992	1.65	1.81
Kitakaze	Japan	58.89 %	1.07	61 165	1 955	2.46	1.85
Lambros Katsonis	Europe	55.58 %	0.76	41 320	1 686	1.58	1.14
Yūgumo	Japan	55.63 %	0.91	46 227	1 658	0.99	1.65
Felix Schultz	Germany	57.33 %	0.95	62 292	1 917	2.88	1.77
Chung Mu	Pan-Asia	60.20 %	1.07	57 742	1 925	1.81	2.11
Östergötland	Europe	57.57 %	0.96	51 197	1 939	4.30	2.06
Adriatico	Italy	57.00 %	0.88	45 282	1 823	1.19	1.52
Z-46	Germany	59.79 %	1.01	49 076	1 888	1.60	1.83
Mogador	France	60.51 %	1.13	60 304	2 004	1.63	2.04
Jutland	U.K.	60.51 %	1.06	50 656	1 989	1.91	2.24
Udaloi	U.S.S.R.	59.61 %	1.02	57 695	1 910	2.23	2.05
Fletcher	U.S.A.	56.67 %	0.92	44 891	1 710	1.90	1.58

	Nation	Battles	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	14 146	50.48 %	0.73	42 795	1 619	2.20	1.14
Minegumo	Japan	10 181	50.58 %	0.80	40 955	1 624	0.04	1.47
Neustrashimy	U.S.S.R.	242 258	52.82 %	0.81	41 155	1 725	2.16	1.63
Black	U.S.A.	450 636	53.18 %	0.74	38 784	1 683	1.55	1.35
ZF-6	Germany	178 359	48.82 %	0.68	35 722	1 598	1.74	1.04
Black B	U.S.A.	9 380	50.06 %	0.57	32 348	1 551	1.34	0.95
Jäger	Europe	176 130	52.10 %	0.74	43 307	1 656	0.19	1.49
Z-44	Germany	217 764	47.01 %	0.57	34 426	1 436	1.08	0.99
Somme	U.K.	16 078	53.41 %	0.81	39 179	1 724	1.51	1.65
Halford	U.S.A.	14 912	51.44 %	0.60	37 544	1 609	1.30	1.37
Friesland	Europe	758 147	50.64 %	0.71	46 211	1 746	3.73	1.17
Velos	Europe	22 247	48.92 %	0.65	34 255	1 593	2.34	1.12
Paolo Emilio	Italy	235 373	51.22 %	0.89	44 168	1 575	0.59	1.12
Groningen	The Netherlands	341 319	50.26 %	0.66	44 443	1 682	4.03	1.07
Benham	U.S.A.	778 483	54.95 %	0.93	48 325	1 806	0.94	1.89
Tashkent	U.S.S.R.	813 699	49.64 %	0.65	43 109	1 668	1.02	1.17
Kitakaze	Japan	2 663 445	51.15 %	0.80	47 764	1 660	1.71	1.27
Lambros Katsonis	Europe	72 299	49.48 %	0.61	34 584	1 547	1.15	0.92
Yūgumo	Japan	2 983 889	48.59 %	0.69	36 144	1 402	0.62	1.14
Felix Schultz	Germany	324 316	49.56 %	0.71	47 750	1 643	2.16	1.20
Chung Mu	Pan-Asia	776 088	52.55 %	0.81	46 425	1 671	1.22	1.46
Östergötland	Europe	1 127 035	50.59 %	0.74	41 384	1 677	3.23	1.43
Adriatico	Italy	128 774	50.15 %	0.69	37 037	1 615	0.84	1.14
Z-46	Germany	1 105 326	51.87 %	0.75	38 314	1 609	1.05	1.26
Mogador	France	632 465	52.30 %	0.83	46 070	1 705	1.13	1.38
Jutland	U.K.	998 836	52.27 %	0.79	39 321	1 696	1.30	1.51
Udaloi	U.S.S.R.	852 363	51.69 %	0.76	43 299	1 622	1.48	1.38
Fletcher	U.S.A.	4 923 600	49.33 %	0.66	34 103	1 422	1.25	1.05

Compare