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	74.74 %	1.56	89 858	2 415	5.08	3.31
Minegumo	Japan	70.79 %	1.54	69 821	2 264	0.19	3.89
Neustrashimy	U.S.S.R.	75.58 %	1.49	71 660	2 453	4.71	4.91
Black	U.S.A.	75.93 %	1.44	68 181	2 411	3.72	3.98
ZF-6	Germany	74.49 %	1.55	70 667	2 440	4.07	3.64
Black B	U.S.A.	67.88 %	1.27	62 523	2 240	3.61	2.71
Jäger	Europe	72.62 %	1.35	71 200	2 284	0.68	4.43
Z-44	Germany	68.37 %	1.18	64 235	2 156	2.74	3.14
Somme	U.K.	77.97 %	1.59	76 669	2 527	3.87	5.67
Halford	U.S.A.	75.29 %	1.28	73 112	2 409	3.42	4.63
Friesland	Europe	74.13 %	1.45	84 508	2 571	7.88	3.53
Velos	Europe	73.32 %	1.42	70 785	2 401	5.08	4.01
Paolo Emilio	Italy	73.00 %	1.64	77 754	2 290	1.71	2.64
Groningen	The Netherlands	73.49 %	1.38	83 514	2 513	7.99	3.19
Benham	U.S.A.	76.13 %	1.60	79 420	2 454	2.60	5.59
Tashkent	U.S.S.R.	72.40 %	1.32	85 976	2 564	3.17	3.70
Kitakaze	Japan	72.20 %	1.52	84 414	2 445	4.04	3.51
Lambros Katsonis	Europe	69.10 %	1.14	60 886	2 078	2.87	2.15
Yūgumo	Japan	68.25 %	1.32	64 340	2 102	1.98	3.25
Felix Schultz	Germany	72.15 %	1.38	85 813	2 358	4.56	3.37
Chung Mu	Pan-Asia	74.76 %	1.52	79 446	2 371	3.38	4.22
Östergötland	Europe	72.10 %	1.38	68 688	2 374	6.73	4.19
Adriatico	Italy	72.22 %	1.34	65 712	2 260	2.19	3.02
Z-46	Germany	73.05 %	1.40	66 952	2 318	2.91	3.50
Mogador	France	75.23 %	1.64	84 867	2 483	2.73	4.08
Jutland	U.K.	75.24 %	1.53	71 261	2 455	3.30	4.63
Udaloi	U.S.S.R.	73.25 %	1.41	82 472	2 392	4.64	3.91
Fletcher	U.S.A.	70.25 %	1.35	64 756	2 213	3.90	3.19

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	70.05 %	1.41	81 907	2 286	4.50	2.76
Minegumo	Japan	67.96 %	1.41	63 419	2 173	0.15	3.26
Neustrashimy	U.S.S.R.	71.84 %	1.37	65 941	2 352	4.17	4.06
Black	U.S.A.	72.42 %	1.33	63 853	2 321	3.27	3.37
ZF-6	Germany	70.74 %	1.42	65 084	2 332	3.61	3.01
Black B	U.S.A.	65.36 %	1.15	56 296	2 124	3.31	2.34
Jäger	Europe	69.52 %	1.25	67 132	2 207	0.58	3.66
Z-44	Germany	64.75 %	1.08	59 602	2 062	2.41	2.58
Somme	U.K.	74.35 %	1.49	70 307	2 418	3.46	4.62
Halford	U.S.A.	70.60 %	1.16	68 851	2 283	2.97	3.63
Friesland	Europe	70.38 %	1.33	77 648	2 452	6.94	2.94
Velos	Europe	70.14 %	1.32	63 443	2 287	4.53	3.31
Paolo Emilio	Italy	69.32 %	1.52	72 157	2 181	1.49	2.34
Groningen	The Netherlands	69.89 %	1.26	76 934	2 386	7.21	2.67
Benham	U.S.A.	72.83 %	1.50	75 026	2 372	2.23	4.64
Tashkent	U.S.S.R.	68.46 %	1.20	78 477	2 427	2.74	3.01
Kitakaze	Japan	68.87 %	1.40	78 032	2 330	3.59	2.95
Lambros Katsonis	Europe	65.48 %	1.03	54 988	1 971	2.56	1.79
Yūgumo	Japan	64.85 %	1.21	59 518	1 992	1.70	2.71
Felix Schultz	Germany	67.32 %	1.26	78 602	2 244	4.05	2.76
Chung Mu	Pan-Asia	71.09 %	1.41	74 116	2 269	2.94	3.51
Östergötland	Europe	68.40 %	1.26	64 129	2 272	5.96	3.45
Adriatico	Italy	67.95 %	1.18	59 649	2 154	1.94	2.47
Z-46	Germany	69.63 %	1.29	61 428	2 204	2.54	2.89
Mogador	France	71.56 %	1.51	78 052	2 370	2.40	3.37
Jutland	U.K.	71.54 %	1.40	65 738	2 346	2.90	3.81
Udaloi	U.S.S.R.	69.53 %	1.29	74 665	2 263	3.88	3.19
Fletcher	U.S.A.	66.85 %	1.24	60 016	2 105	3.27	2.68

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	63.61 %	1.16	68 994	2 095	3.78	2.07
Minegumo	Japan	63.52 %	1.17	55 931	2 023	0.09	2.43
Neustrashimy	U.S.S.R.	66.32 %	1.20	58 161	2 182	3.46	3.02
Black	U.S.A.	67.14 %	1.18	57 468	2 168	2.65	2.62
ZF-6	Germany	64.99 %	1.22	57 076	2 156	2.99	2.26
Black B	U.S.A.	61.02 %	0.94	49 046	1 966	2.74	1.67
Jäger	Europe	64.47 %	1.11	61 037	2 077	0.42	2.83
Z-44	Germany	59.84 %	0.94	52 698	1 906	1.94	1.94
Somme	U.K.	67.48 %	1.30	61 407	2 252	2.86	3.35
Halford	U.S.A.	64.10 %	1.00	59 957	2 094	2.39	2.71
Friesland	Europe	64.68 %	1.14	67 953	2 260	5.75	2.22
Velos	Europe	64.19 %	1.13	55 131	2 105	3.80	2.43
Paolo Emilio	Italy	64.21 %	1.34	64 247	2 023	1.18	1.91
Groningen	The Netherlands	64.24 %	1.08	67 131	2 194	6.15	2.02
Benham	U.S.A.	67.82 %	1.36	68 224	2 237	1.77	3.55
Tashkent	U.S.S.R.	62.71 %	1.01	67 183	2 209	2.15	2.19
Kitakaze	Japan	63.79 %	1.21	68 731	2 146	2.96	2.28
Lambros Katsonis	Europe	60.30 %	0.87	46 454	1 807	2.07	1.37
Yūgumo	Japan	59.92 %	1.04	52 357	1 819	1.33	2.03
Felix Schultz	Germany	61.83 %	1.07	67 936	2 062	3.35	2.05
Chung Mu	Pan-Asia	65.52 %	1.23	66 185	2 107	2.32	2.66
Östergötland	Europe	62.84 %	1.10	57 362	2 108	4.91	2.59
Adriatico	Italy	62.22 %	1.02	51 353	1 986	1.53	1.87
Z-46	Germany	64.15 %	1.12	53 702	2 028	2.03	2.18
Mogador	France	65.82 %	1.30	68 084	2 191	1.97	2.54
Jutland	U.K.	65.81 %	1.21	57 593	2 169	2.34	2.84
Udaloi	U.S.S.R.	64.01 %	1.12	63 542	2 069	2.94	2.35
Fletcher	U.S.A.	61.83 %	1.09	53 088	1 935	2.51	2.08

	Nation	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	58.20 %	0.96	58 164	1 915	3.09	1.57
Minegumo	Japan	57.63 %	0.99	49 303	1 880	0.08	1.90
Neustrashimy	U.S.S.R.	61.12 %	1.05	51 407	2 012	2.87	2.34
Black	U.S.A.	62.13 %	1.03	51 364	2 011	2.19	2.03
ZF-6	Germany	58.93 %	1.04	49 591	1 974	2.46	1.72
Black B	U.S.A.	56.93 %	0.79	42 608	1 812	2.17	1.26
Jäger	Europe	59.96 %	0.98	55 337	1 951	0.33	2.21
Z-44	Germany	55.29 %	0.80	46 253	1 745	1.58	1.46
Somme	U.K.	62.49 %	1.10	53 338	2 077	2.37	2.50
Halford	U.S.A.	57.81 %	0.81	51 055	1 913	1.95	2.00
Friesland	Europe	59.39 %	0.97	59 283	2 069	4.83	1.70
Velos	Europe	58.40 %	0.96	47 690	1 932	3.19	1.83
Paolo Emilio	Italy	59.47 %	1.18	57 158	1 872	0.93	1.58
Groningen	The Netherlands	59.06 %	0.92	58 361	2 006	5.26	1.56
Benham	U.S.A.	63.14 %	1.21	61 655	2 096	1.40	2.77
Tashkent	U.S.S.R.	57.60 %	0.86	56 646	1 997	1.63	1.63
Kitakaze	Japan	59.00 %	1.05	60 248	1 968	2.43	1.78
Lambros Katsonis	Europe	55.11 %	0.72	39 484	1 653	1.67	1.06
Yūgumo	Japan	55.48 %	0.90	45 817	1 653	0.99	1.56
Felix Schultz	Germany	56.61 %	0.89	58 285	1 885	2.76	1.55
Chung Mu	Pan-Asia	60.52 %	1.06	58 843	1 947	1.81	2.06
Östergötland	Europe	57.61 %	0.96	51 195	1 946	4.08	1.99
Adriatico	Italy	57.13 %	0.86	44 505	1 821	1.25	1.45
Z-46	Germany	59.11 %	0.94	46 846	1 855	1.58	1.67
Mogador	France	60.65 %	1.10	59 066	2 011	1.60	1.93
Jutland	U.K.	60.56 %	1.04	50 155	1 989	1.89	2.14
Udaloi	U.S.S.R.	58.96 %	0.96	53 889	1 879	2.23	1.78
Fletcher	U.S.A.	57.12 %	0.94	46 670	1 768	1.90	1.62

	Nation	Battles	Win rate	Avg. frags	Avg. damage	Avg. experience	Avg. planes destroyed	Kills / deaths
STAR Kitakaze	Japan	21 805	49.63 %	0.70	42 492	1 602	2.13	1.04
Minegumo	Japan	25 259	50.07 %	0.75	39 147	1 626	0.04	1.35
Neustrashimy	U.S.S.R.	636 776	52.95 %	0.80	41 063	1 717	2.13	1.59
Black	U.S.A.	991 093	53.64 %	0.77	40 711	1 723	1.57	1.38
ZF-6	Germany	331 343	49.57 %	0.70	36 693	1 639	1.72	1.07
Black B	U.S.A.	15 803	50.54 %	0.61	34 579	1 606	1.47	1.00
Jäger	Europe	397 106	52.52 %	0.76	45 181	1 700	0.21	1.57
Z-44	Germany	650 386	47.85 %	0.58	35 695	1 468	1.07	0.99
Somme	U.K.	43 691	53.32 %	0.84	41 472	1 775	1.70	1.71
Halford	U.S.A.	20 204	49.66 %	0.59	38 249	1 624	1.40	1.29
Friesland	Europe	1 483 399	50.71 %	0.69	45 256	1 742	3.57	1.13
Velos	Europe	51 986	50.27 %	0.69	36 160	1 629	2.32	1.20
Paolo Emilio	Italy	352 192	51.58 %	0.89	44 935	1 610	0.60	1.13
Groningen	The Netherlands	756 249	50.32 %	0.66	44 575	1 685	3.87	1.04
Benham	U.S.A.	1 462 333	54.91 %	0.94	49 568	1 825	0.97	1.89
Tashkent	U.S.S.R.	1 887 487	49.65 %	0.63	41 459	1 668	1.02	1.07
Kitakaze	Japan	5 073 407	51.17 %	0.79	47 182	1 667	1.68	1.23
Lambros Katsonis	Europe	176 999	49.46 %	0.59	34 040	1 536	1.21	0.87
Yūgumo	Japan	7 436 348	48.56 %	0.67	35 867	1 395	0.62	1.09
Felix Schultz	Germany	764 898	49.14 %	0.66	45 065	1 620	2.07	1.08
Chung Mu	Pan-Asia	1 788 302	52.58 %	0.81	47 473	1 687	1.20	1.42
Östergötland	Europe	2 930 138	50.68 %	0.73	41 466	1 676	3.02	1.39
Adriatico	Italy	303 785	50.18 %	0.68	36 892	1 619	0.85	1.09
Z-46	Germany	3 204 927	51.46 %	0.71	36 862	1 579	1.04	1.15
Mogador	France	1 288 027	52.41 %	0.82	45 581	1 713	1.12	1.32
Jutland	U.K.	2 217 137	52.33 %	0.78	39 232	1 698	1.28	1.45
Udaloi	U.S.S.R.	1 999 532	51.25 %	0.71	40 952	1 599	1.49	1.22
Fletcher	U.S.A.	6 810 822	49.93 %	0.70	36 470	1 492	1.25	1.11

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