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	72.74 %	1.41	76 509	2 415	8.16	3.00
Minegumo	Japan	74.88 %	1.64	76 101	2 484	0.39	4.88
Neustrashimy	U.S.S.R.	77.97 %	1.36	63 067	2 498	7.89	5.30
Black	U.S.A.	79.05 %	1.29	61 606	2 447	6.43	4.36
ZF-6	Germany	75.25 %	1.40	62 517	2 451	6.52	3.35
Black B	U.S.A.	74.48 %	1.12	52 952	2 277	5.02	3.24
Jäger	Europe	72.44 %	1.23	67 115	2 324	1.14	3.91
Z-44	Germany	71.62 %	1.10	62 305	2 255	5.03	3.59
Somme	U.K.	79.15 %	1.38	60 224	2 523	6.15	5.23
Halford	U.S.A.	77.14 %	1.17	72 375	2 526	5.12	4.58
Friesland	Europe	75.49 %	1.27	73 988	2 581	13.38	3.46
Velos	Europe	75.96 %	1.38	65 813	2 546	8.32	4.49
Paolo Emilio	Italy	71.63 %	1.47	68 970	2 197	2.65	2.43
Groningen	The Netherlands	73.58 %	1.26	75 577	2 560	13.56	3.03
Benham	U.S.A.	76.71 %	1.51	73 371	2 464	3.69	6.48
Tashkent	U.S.S.R.	72.49 %	1.22	85 481	2 647	5.30	3.80
Kitakaze	Japan	70.83 %	1.34	74 993	2 408	6.63	3.19
Lambros Katsonis	Europe	72.43 %	1.12	60 598	2 201	4.80	2.27
Yūgumo	Japan	69.25 %	1.23	58 931	2 171	3.43	3.48
Felix Schultz	Germany	70.92 %	1.27	86 579	2 378	7.06	3.40
Chung Mu	Pan-Asia	76.13 %	1.37	70 617	2 386	6.09	4.59
Östergötland	Europe	73.00 %	1.25	64 188	2 432	11.73	4.32
Adriatico	Italy	73.08 %	1.28	67 154	2 380	3.98	3.41
Z-46	Germany	76.07 %	1.37	64 463	2 440	5.42	3.99
Mogador	France	74.52 %	1.49	78 962	2 447	4.56	3.94
Jutland	U.K.	75.94 %	1.37	63 286	2 455	5.55	5.15
Udaloi	U.S.S.R.	75.61 %	1.34	82 221	2 516	8.59	4.62
Fletcher	U.S.A.	72.36 %	1.26	58 866	2 290	7.52	3.74

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	68.74 %	1.27	69 339	2 268	7.18	2.48
Minegumo	Japan	71.67 %	1.52	70 138	2 372	0.32	4.14
Neustrashimy	U.S.S.R.	74.35 %	1.26	59 105	2 409	7.09	4.36
Black	U.S.A.	75.87 %	1.21	57 979	2 373	5.80	3.75
ZF-6	Germany	71.55 %	1.29	58 429	2 356	5.92	2.85
Black B	U.S.A.	70.78 %	1.05	49 166	2 221	4.65	2.68
Jäger	Europe	69.27 %	1.13	62 651	2 239	1.00	3.25
Z-44	Germany	67.01 %	1.04	57 989	2 164	4.48	2.97
Somme	U.K.	75.76 %	1.29	56 555	2 425	5.59	4.22
Halford	U.S.A.	73.55 %	1.07	66 513	2 433	4.43	3.81
Friesland	Europe	71.43 %	1.17	67 891	2 467	12.00	2.86
Velos	Europe	72.47 %	1.26	60 218	2 443	7.76	3.66
Paolo Emilio	Italy	67.84 %	1.37	65 151	2 114	2.38	2.12
Groningen	The Netherlands	69.76 %	1.15	69 371	2 445	12.51	2.52
Benham	U.S.A.	73.78 %	1.41	69 373	2 382	3.25	5.30
Tashkent	U.S.S.R.	68.62 %	1.13	78 973	2 531	4.77	3.11
Kitakaze	Japan	67.37 %	1.23	69 579	2 309	6.03	2.71
Lambros Katsonis	Europe	67.10 %	1.01	54 847	2 101	4.27	1.90
Yūgumo	Japan	65.66 %	1.12	54 500	2 063	3.00	2.88
Felix Schultz	Germany	67.28 %	1.15	80 438	2 283	6.40	2.80
Chung Mu	Pan-Asia	72.86 %	1.28	66 071	2 290	5.38	3.74
Östergötland	Europe	69.37 %	1.14	59 956	2 339	10.53	3.50
Adriatico	Italy	69.63 %	1.15	61 508	2 277	3.62	2.81
Z-46	Germany	72.75 %	1.27	59 286	2 329	4.80	3.36
Mogador	France	70.96 %	1.38	72 803	2 354	4.10	3.29
Jutland	U.K.	72.56 %	1.29	58 864	2 365	5.00	4.15
Udaloi	U.S.S.R.	71.82 %	1.24	75 159	2 396	7.25	3.77
Fletcher	U.S.A.	68.72 %	1.17	54 698	2 187	6.39	3.09

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	62.30 %	1.06	58 549	2 066	6.01	1.85
Minegumo	Japan	67.81 %	1.31	62 017	2 254	0.23	3.20
Neustrashimy	U.S.S.R.	68.71 %	1.13	52 981	2 259	6.01	3.26
Black	U.S.A.	70.57 %	1.10	52 671	2 246	4.95	2.94
ZF-6	Germany	65.41 %	1.14	52 022	2 189	5.05	2.22
Black B	U.S.A.	65.37 %	0.93	44 236	2 103	3.78	1.90
Jäger	Europe	63.72 %	1.00	56 176	2 086	0.80	2.48
Z-44	Germany	61.64 %	0.93	52 105	2 014	3.73	2.25
Somme	U.K.	69.22 %	1.12	50 553	2 267	4.75	3.03
Halford	U.S.A.	67.41 %	0.94	58 581	2 285	3.64	3.02
Friesland	Europe	65.29 %	1.02	59 358	2 292	10.11	2.16
Velos	Europe	65.83 %	1.12	53 527	2 269	6.79	2.75
Paolo Emilio	Italy	62.96 %	1.23	59 367	1 981	1.98	1.73
Groningen	The Netherlands	64.17 %	0.99	60 636	2 260	10.92	1.94
Benham	U.S.A.	68.63 %	1.26	63 242	2 252	2.69	3.98
Tashkent	U.S.S.R.	63.03 %	0.97	68 943	2 342	3.98	2.31
Kitakaze	Japan	62.65 %	1.09	61 608	2 149	5.16	2.10
Lambros Katsonis	Europe	61.51 %	0.84	46 620	1 934	3.59	1.45
Yūgumo	Japan	60.45 %	0.97	47 863	1 891	2.38	2.15
Felix Schultz	Germany	61.66 %	1.01	71 486	2 127	5.43	2.11
Chung Mu	Pan-Asia	66.74 %	1.13	59 344	2 141	4.36	2.81
Östergötland	Europe	63.88 %	1.02	53 747	2 190	8.88	2.66
Adriatico	Italy	64.14 %	1.02	53 275	2 113	3.09	2.12
Z-46	Germany	66.55 %	1.10	52 003	2 154	3.88	2.54
Mogador	France	65.47 %	1.19	63 863	2 199	3.47	2.47
Jutland	U.K.	67.10 %	1.14	52 409	2 220	4.16	3.05
Udaloi	U.S.S.R.	66.25 %	1.09	64 829	2 208	5.63	2.80
Fletcher	U.S.A.	63.39 %	1.02	48 713	2 019	4.91	2.35

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	56.80 %	0.87	49 727	1 895	5.07	1.38
Minegumo	Japan	63.65 %	1.11	54 677	2 094	0.16	2.44
Neustrashimy	U.S.S.R.	63.34 %	1.00	47 250	2 104	5.13	2.53
Black	U.S.A.	65.06 %	0.97	47 657	2 104	4.18	2.31
ZF-6	Germany	60.04 %	0.98	45 875	2 025	4.28	1.73
Black B	U.S.A.	59.44 %	0.80	39 516	1 956	3.16	1.48
Jäger	Europe	59.11 %	0.88	50 243	1 938	0.63	1.94
Z-44	Germany	56.55 %	0.81	46 298	1 854	3.11	1.74
Somme	U.K.	63.51 %	0.96	45 093	2 091	4.02	2.24
Halford	U.S.A.	61.65 %	0.81	52 006	2 117	3.05	2.31
Friesland	Europe	59.82 %	0.88	51 849	2 118	8.62	1.68
Velos	Europe	59.10 %	0.95	45 358	2 078	5.84	2.03
Paolo Emilio	Italy	58.29 %	1.11	53 934	1 841	1.64	1.47
Groningen	The Netherlands	58.99 %	0.84	52 680	2 078	9.54	1.49
Benham	U.S.A.	63.80 %	1.13	57 674	2 122	2.20	3.09
Tashkent	U.S.S.R.	57.88 %	0.83	59 578	2 148	3.27	1.75
Kitakaze	Japan	58.13 %	0.95	54 276	1 987	4.39	1.67
Lambros Katsonis	Europe	56.30 %	0.70	39 352	1 772	3.00	1.10
Yūgumo	Japan	55.64 %	0.83	41 772	1 714	1.85	1.64
Felix Schultz	Germany	56.35 %	0.87	62 979	1 968	4.60	1.64
Chung Mu	Pan-Asia	61.30 %	0.98	52 940	1 985	3.49	2.15
Östergötland	Europe	58.86 %	0.88	47 932	2 038	7.51	2.05
Adriatico	Italy	58.20 %	0.86	46 011	1 953	2.61	1.63
Z-46	Germany	61.42 %	0.96	45 692	1 981	3.06	1.96
Mogador	France	60.29 %	1.04	55 741	2 040	2.93	1.90
Jutland	U.K.	61.87 %	0.99	46 454	2 070	3.45	2.37
Udaloi	U.S.S.R.	60.95 %	0.94	55 699	2 019	4.35	2.12
Fletcher	U.S.A.	58.47 %	0.89	43 201	1 848	3.74	1.83

	Nation	Battles	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	16 511	48.94 %	0.63	37 933	1 619	3.83	0.96
Minegumo	Japan	11 428	53.27 %	0.83	41 795	1 759	0.10	1.75
Neustrashimy	U.S.S.R.	267 303	54.51 %	0.77	38 262	1 812	3.91	1.71
Black	U.S.A.	343 689	55.54 %	0.74	38 658	1 808	3.11	1.55
ZF-6	Germany	217 834	50.52 %	0.71	35 706	1 726	3.13	1.16
Black B	U.S.A.	10 087	51.23 %	0.60	32 237	1 668	2.35	1.04
Jäger	Europe	120 933	51.57 %	0.69	40 914	1 684	0.42	1.44
Z-44	Germany	230 864	48.71 %	0.61	36 314	1 579	2.20	1.19
Somme	U.K.	28 826	54.42 %	0.76	37 325	1 816	3.07	1.66
Halford	U.S.A.	26 523	53.05 %	0.60	40 430	1 803	2.25	1.59
Friesland	Europe	513 978	50.72 %	0.63	39 679	1 793	6.50	1.11
Velos	Europe	10 271	51.44 %	0.68	33 779	1 740	4.45	1.38
Paolo Emilio	Italy	261 205	50.68 %	0.87	43 890	1 594	1.15	1.09
Groningen	The Netherlands	424 479	50.48 %	0.61	40 528	1 763	7.39	1.01
Benham	U.S.A.	515 225	55.46 %	0.91	47 624	1 876	1.58	2.16
Tashkent	U.S.S.R.	849 699	49.98 %	0.62	45 622	1 830	2.21	1.20
Kitakaze	Japan	3 796 564	50.59 %	0.71	42 613	1 689	3.18	1.15
Lambros Katsonis	Europe	72 990	50.70 %	0.59	34 124	1 660	2.38	0.93
Yūgumo	Japan	3 212 311	48.44 %	0.63	32 523	1 447	1.20	1.13
Felix Schultz	Germany	416 817	49.13 %	0.66	50 122	1 727	3.60	1.16
Chung Mu	Pan-Asia	657 443	53.23 %	0.77	43 617	1 748	2.52	1.52
Östergötland	Europe	1 214 931	51.38 %	0.69	38 778	1 777	5.82	1.44
Adriatico	Italy	134 557	51.78 %	0.68	38 128	1 749	1.95	1.21
Z-46	Germany	709 549	53.77 %	0.74	37 217	1 732	2.12	1.39
Mogador	France	524 906	52.48 %	0.79	43 982	1 774	2.22	1.32
Jutland	U.K.	966 458	53.93 %	0.76	37 262	1 807	2.49	1.63
Udaloi	U.S.S.R.	581 705	53.12 %	0.73	43 840	1 752	2.97	1.50
Fletcher	U.S.A.	2 323 134	50.89 %	0.68	34 392	1 580	2.53	1.26

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