歼-10c 集中讨论帖

[gnahsuom]

新的一年，洗洗睡吧🛏

[霸天虎牢大乐迪]

当时j11b一个极小的数据改动修复都拖了一个版本，三个月之久，不必期待一个比j11b修复大几倍的工作量能在一个版本内改好了

[silent_requiem75]

md终于拿到五杀。3:33-42那三架扎堆进场被我投吸(马保国口音)了

[CM502KG]

这玩意有没有宣传册PL5DE

[CM502KG]

左下角这个dao’d导弹

[silent_requiem75]

@RoyallCSGO

Demo analysis of current top tier battles.

Ground Battles

1628 Replays

Tanks

K/D Cut off: 500

Vehicle	Ratio	Data points
TKX	1.59	2531
Leopard 2A7HU	1.55	1049
Merkava Mk.4M	1.53	712
Type 10	1.52	2860
M1A2T	1.47	2482
Leopard 2A7V	1.45	6495
T-80BVM	1.42	12814
Strv 122B+	1.42	1930
Leclerc S2	1.41	806
BMPT	1.39	1626
Leclerc	1.39	1209
▄Leopard 2A6	1.39	533
Strv 122A	1.38	1390
Strv 122B PLSS	1.36	1213
VT4A1	1.33	2640
Type 90 (B) “Fuji”	1.3	2978
Leclerc AZUR	1.29	876
M1A2 SEP	1.28	2549
Leclerc SXXI	1.28	1201
M1A2 SEP V2	1.26	4612
T-90M	1.26	7522
ZTZ99A	1.24	4269
Ariete Сertezza	1.22	517
BM Oplot-T	1.21	1131
WZ1001(E) LCT	1.19	1777
Challenger 2E	1.16	653
Challenger 2 OES	1.15	1308
Black Night	1.14	938
Centauro RGO	1.13	1032
Challenger 3 TD	1.12	982
M1A1 Click-Bait	1.11	8461
Al-Khalid-I	1.11	4301
Leopard 2A6	1.09	3116
◍M1A1 HC	1.08	1114
BMPT-72	1.08	1591
Type 90	1.08	847
VT4	0.99	529
T-72B3A	0.98	2135
TKX (P)	0.98	1046
M1A2	0.97	2548
Leopard 2A5	0.96	2894
◍Leopard 2A4M	0.96	971
Т-80U-Е1	0.96	17761
◍Т-80U-Е1	0.96	1249
Leopard 2 PSO	0.95	2897
CV90120-T	0.94	1252
Type 90 (B)	0.93	570
VT5	0.93	1490
Leopard 2A4M	0.92	4755
Т-90А	0.92	799
M1A1 AIM	0.9	3901
T-80UK	0.89	3043
M1A1	0.87	1565
HSTV-L	0.87	4431
Leopard 2PL	0.86	4128
M1A1 HC	0.83	1256
RDF/LT	0.8	4873
EBRC Jaguar	0.78	997
T-80U	0.77	2453
T-80UD	0.73	637
MBT-2000	0.7	804
2S25M	0.69	706
T-72B3	0.69	2770
2S38	0.67	3716
Leopard 2A4	0.65	518
BMP-2M	0.64	1813
Leopard 2 (PzBtl 123)	0.63	1240
M1128 Wolfpack	0.61	1077
PUMA VJTF	0.44	3392

K/D Ground only Cut off: 500

Vehicle	Ratio	Data points
TKX	1.72	2455
Leopard 2A7HU	1.69	1016
Type 10	1.63	2779
Merkava Mk.4M	1.62	697
Leclerc S2	1.59	769
Leopard 2A7V	1.58	6272
M1A2T	1.58	2414
Strv 122B+	1.58	1849
Strv 122A	1.56	1322
Strv 122B PLSS	1.54	1156
▄Leopard 2A6	1.52	514
Leclerc	1.51	1170
BMPT	1.5	1576
T-80BVM	1.47	12616
Leclerc SXXI	1.45	1141
Leclerc AZUR	1.39	850
M1A2 SEP	1.38	2467
VT4A1	1.38	2598
Type 90 (B) “Fuji”	1.37	2913
M1A2 SEP V2	1.36	4471
T-90M	1.33	7346
ZTZ99A	1.33	4144
Challenger 2E	1.3	620
BM Oplot-T	1.3	1098
WZ1001(E) LCT	1.3	1704
Ariete Сertezza	1.29	504
Challenger 3 TD	1.26	929
Challenger 2 OES	1.21	1276
Black Night	1.19	919
Centauro RGO	1.19	1007
M1A1 Click-Bait	1.18	8225
Leopard 2A6	1.17	3008
Al-Khalid-I	1.17	4193
◍M1A1 HC	1.15	1081
Type 90	1.15	822
BMPT-72	1.12	1562
TKX (P)	1.08	1000
M1A2	1.06	2444
CV90120-T	1.06	1179
Leopard 2A5	1.05	2761
Leopard 2 PSO	1.05	2762
VT4	1.05	513
◍Leopard 2A4M	1.01	943
VT5	1.01	1431
T-72B3A	1.0	2111
Type 90 (B)	1.0	547
Т-80U-Е1	0.99	17506
◍Т-80U-Е1	0.99	1226
M1A1 AIM	0.98	3748
Leopard 2A4M	0.98	4605
Т-90А	0.96	779
HSTV-L	0.95	4251
Leopard 2PL	0.94	3953
M1A1 HC	0.93	1184
M1A1	0.93	1515
T-80UK	0.93	2979
EBRC Jaguar	0.87	942
RDF/LT	0.86	4684
T-80U	0.81	2386
T-80UD	0.76	622
2S25M	0.75	672
MBT-2000	0.75	774
2S38	0.73	3547
T-72B3	0.73	2695
BMP-2M	0.7	1731
Leopard 2 (PzBtl 123)	0.69	1181
M1128 Wolfpack	0.67	1017
PUMA VJTF	0.51	3084

Percentage of deaths caused by CAS Cut off: 500

Vehicle	Ratio	Data points
IRIS-T SLM	57.82%	633
“BUK-M3”	54.47%	705
FlaRakRad	41.59%	1611
Pantsir-S1	30.76%	3690
CS/SA5	29.44%	975
ADATS	27.39%	2683
PUMA VJTF	13.07%	2356
Strv 122A	11.62%	585
Leclerc SXXI	11.41%	526
CV90120-T	11.34%	644
Strv 122B PLSS	11.11%	513
M1A1 HC	10.48%	687
Strv 122B+	10.14%	799
EBRC Jaguar	9.82%	560
Leopard 2 PSO	9.10%	1483
Leopard 2A5	9.00%	1478
M1128 Wolfpack	8.98%	668
WZ1001(E) LCT	8.98%	813
TKX (P)	8.73%	527
Leopard 2A7V	8.40%	2655
M1A2	8.05%	1292
Leopard 2PL	7.90%	2214
Leopard 2 (PzBtl 123)	7.77%	759
TKX	7.76%	979
Leclerc	7.71%	506
VT5	7.64%	772
HSTV-L	7.61%	2364
2S38	7.60%	2225
M1A1 AIM	7.46%	2050
BMP-2M	7.43%	1103
BMPT	7.35%	680
M1A2 SEP	7.33%	1118
Leopard 2A6	7.23%	1493
Type 10	7.13%	1136
RDF/LT	6.98%	2708
M1A2 SEP V2	6.92%	2037
M1A2T	6.77%	1005
ZTZ99A	6.55%	1907
BM Oplot-T	6.46%	511
◍M1A1 HC	6.17%	535
Leopard 2A4M	6.06%	2475
M1A1	5.97%	837
M1A1 Click-Bait	5.88%	4013
T-90M	5.29%	3325
Al-Khalid-I	5.29%	2040
Challenger 2 OES	5.25%	609
Type 90 (B) “Fuji”	5.02%	1295
T-80U	4.84%	1384
T-72B3	4.59%	1635
T-80UK	3.98%	1609
BMPT-72	3.79%	766
T-80BVM	3.74%	5298
VT4A1	3.70%	1134
◍Т-80U-Е1	3.61%	638
Т-80U-Е1	2.82%	9057
T-72B3A	2.22%	1079

K/D rank 8 combat and ground only Cut off: 500

Vehicle	Ratio	Data points
Type 10	1.51	1248
TKX	1.5	1118
M1A2T	1.39	1218
Strv 122A	1.36	611
Leclerc SXXI	1.29	559
T-80BVM	1.25	6710
Leopard 2A7V	1.2	2926
VT4A1	1.19	1185
M1A2 SEP	1.17	1174
Strv 122B+	1.17	847
Strv 122B PLSS	1.15	532
T-90M	1.14	3923
WZ1001(E) LCT	1.13	775
Leclerc	1.13	545
ZTZ99A	1.11	1903
M1A2 SEP V2	1.09	2171
BM Oplot-T	1.09	523
Leopard 2A6	0.96	1432
Leopard 2A5	0.88	1192
Leopard 2 PSO	0.86	1327
T-72B3A	0.86	1145
M1A2	0.83	1063

SPAA

K/D to CAS Cut off: 300

Vehicle	Ratio	Data points
FSAF SAMP/T (Mamba)	2.77	324
HQ11	2.33	469
IRIS-T SLM	2.25	1191
NASAMS 3	2.05	345
CLAWS	1.72	543
EldE 98	1.67	361
CS/SA5	1.62	753
“BUK-M3”	1.59	993
Pantsir-S1	1.43	2754
FlaRakRad	1.01	1348
Tan-SAM Kai	0.93	399
ADATS	0.81	1333

K/D planes only Cut off: 200

Vehicle	Ratio	Data points
FSAF SAMP/T (Mamba)	3.4	229
HQ11	3.06	325
IRIS-T SLM	2.88	839
NASAMS 3	2.26	235
“BUK-M3”	2.23	713
EldE 98	2.16	253
CS/SA5	2.0	483
CLAWS	1.96	376
Pantsir-S1	1.35	1750
Tan-SAM Kai	1.0	280
FlaRakRad	0.84	801
ADATS	0.69	825

K/D to helicopters only Cut off: 200

Vehicle	Ratio	Data points
Pantsir-S1	1.57	1004
IRIS-T SLM	1.35	352
FlaRakRad	1.33	547
CS/SA5	1.14	270
ADATS	1.05	508
“BUK-M3”	0.72	280

Weapons destroyed to CAS deaths Cut off: 200

Vehicle	Ratio	Data points
FSAF SAMP/T (Mamba)	2.63	312
HQ11	2.26	460
“BUK-M3”	1.7	1037
Pantsir-S1	1.49	2821
NASAMS 3	1.34	264
CLAWS	1.33	466
CS/SA5	1.22	638
ItO 90M	1.01	251
IRIS-T SLM	0.88	688
Tan-SAM Kai	0.8	373
FlaRakRad	0.56	1046
ADATS	0.38	1012

Planes

K/D planes only Cut off: 100

Vehicle	Ratio	Data points
Rafale C	2.39	105
◄EF-2000	2.18	235
Su-30SM2	1.94	206
Su-30SM	1.34	379
F-15E	0.87	127
▄Su-30MK	0.85	152
Su-33	0.77	133
Su-34	0.69	113
◌F/A-18C	0.46	209

Ground kills Cut off: 100

Vehicle	Kills
Su-30SM	1286
Su-30SM2	673
Su-34	537
▄Su-30MK	442
◄EF-2000	297
Rafale C	275
F-15E	271
◌F/A-18C	251
JAS39E	251
▄Su-30MKM	199
F/A-18C Early	167
JH-7A	147
Su-39	132
F-2A	128
␗Su-30MKK	128
F-16C	114

Ground kills to deaths Cut off: 300

Vehicle	Ratio	Data points
Su-30SM2	2.44	949
Su-30SM	1.95	1945
Rafale C	1.88	421
Su-34	1.8	836
JAS39E	1.6	408
▄Su-30MK	1.04	866
F-15E	1.02	536
◄EF-2000	0.91	622
F-2A	0.66	321
Su-39	0.58	361
F/A-18C Early	0.56	466
◌F/A-18C	0.45	812

Ground kills to deaths from ground sources Cut off: 300

Vehicle	Ratio	Data points
Su-30SM2	3.52	864
Su-30SM	2.81	1744
Rafale C	2.62	380
Su-34	2.4	761
JAS39E	2.26	362
F-15E	1.43	461
▄Su-30MK	1.37	764
◄EF-2000	1.29	527
F/A-18C Early	0.75	391
Su-39	0.71	319
◌F/A-18C	0.66	632

Helicopters

Ground kills Cut off: 100

Vehicle	Kills
Mi-28NM	2094
Z-10ME	833
AH-64E	512
Ka-50	352
EC-665 Tiger UHT	204
Ka-52	163
◥AH-64E (Japan)	162
RAH-66	140
AH-64A	131

Ground kills to deaths Cut off: 200

Vehicle	Ratio	Data points
Mi-28NM	2.69	2872
Z-10ME	2.47	1170
◥AH-64E (Japan)	2.45	228
AH-64E	1.95	774
EC-665 Tiger UHT	1.19	376
Ka-52	0.92	341
RAH-66	0.57	385
AH-64A	0.54	372
Ka-50	0.5	1061

Ground kills to deaths from ground sources Cut off: 200

Vehicle	Ratio	Data points
Mi-28NM	3.6	2676
◥AH-64E (Japan)	3.18	213
Z-10ME	3.12	1100
AH-64E	2.49	718
EC-665 Tiger UHT	1.63	329
Ka-52	1.14	306
RAH-66	0.71	337
AH-64A	0.64	336
Ka-50	0.57	972

Other

Nation K/D

Nation	Ratio	Data points
Japan	1.21	15116
France	1.17	8067
China	1.14	26390
Sweden	1.12	9832
Italy	1.1	5246
Israel	1.06	2965
Great Britain	1.03	7415
USSR	1.02	83382
USA	0.9	50720
Germany	0.87	40043

Nation CAS kill percentage

Nation	Tank Kills	CAS Kills	CAS % Nation	CAS % Total	Tank Kills % Total
USSR	32523	5968	15.50%	48.72%	32.23%
USA	20238	1916	8.65%	15.64%	20.06%
Germany	15605	866	5.26%	7.07%	15.47%
Japan	7111	608	7.88%	4.96%	7.05%
Sweden	4305	334	7.20%	2.73%	4.27%
China	11159	1533	12.08%	12.52%	11.06%
France	3269	507	13.43%	4.14%	3.24%
Italy	2346	128	5.17%	1.04%	2.32%
Great Britian	3080	247	7.42%	2.02%	3.05%
Isreal	1269	142	10.06%	1.16%	1.26%

Nation CAS death percentage

Nation	Tank Deaths	CAS Deaths	CAS Deaths %
USSR	33858	3046	8.25%
USA	21341	2638	11.00%
Germany	17343	2721	13.56%
Japan	5597	725	11.47%
Sweden	3623	706	16.31%
China	10054	1199	10.65%
France	2858	512	15.19%
Italy	2137	252	10.55%
Great Britia	2963	387	11.55%
Isreal	1130	141	11.09%

Note

Multi-vehicle SPAA There will be some inaccuracy with multi-vehicle systems. This is because it’s not always possible to determine exactly who was responsible for the destruction of the system. In these cases, when the radar/command vehicle self-destructs I’ve estimated the responsible vehicle based on the distribution of launcher kills. Example: The Su-30SM is responsible for 17% of all launcher vehicle kills so gets 17% of the self-destructions.

Air Battles

1029 Replays

Unfortunately the Italian and German AESA Eurofighters cannot be set apart from their non-AESA versions, as both show up the same way in the kill feed.

There is also the case in which Britain benifits from being paired with France 94.03% of the time.

K/D Cut off: 300

Vehicle	Ratio	Data points
Rafale C	1.73	3739
Typhoon (AESA)	1.58	765
Su-30SM2	1.27	11830
Rafale M	1.17	784
F-2000A (AESA included)	1.11	1337
JAS39E	1.09	1351
◄EF-2000 (AESA included)	1.05	6485
J-11B	0.97	646
Typhoon FGR.4	0.96	803
Su-30SM	0.87	5868
J-10C	0.83	1721
F-15C	0.82	1771
J-10A	0.82	598
␗Su-30MKK	0.81	514
F-2A	0.8	370
␗Mirage 2000	0.8	347
▄Su-30MKM	0.75	718
Su-27SM	0.74	507
F-16C	0.73	412
F-15E	0.72	2203
F/A-18E	0.71	1434
▄Su-30MK	0.69	602
F/A-18C Late	0.59	965
Su-34	0.57	490

Nation pairing with France

Nation	Pairing	Data points
Great Britain	94.03%	553
Sweden	81.74%	575
Germany	72.73%	858
China	72.57%	711
USA	66.28%	860
USSR	64.36%	881
Japan	42.41%	507
Israel	35.43%	127
Italy	25.17%	445

Nation pairing with France (Filtered) Replays where if either nation was on both teams have been filtered out

Nation	Pairing	Data points
Great Britain	93.91%	542
Sweden	81.58%	570
China	61.46%	506
Germany	51.25%	480
Japan	41.37%	498
USA	36.54%	457
Israel	34.4%	125
Italy	24.83%	443
USSR	12.29%	358

Have a good new year.

这个用于冲dev的话应该还挺管用的，分析空历数据可以看出来，虫子在每一个分房权重里都几乎是食物链底端的角色。阵风的数据是之前和现在轮椅攒过来的，现在统治顶喷空历的就是sm2、双风、鹰狮e（这东西还是个14.0）。而10c的kd比连11b都不如，得和鹰金都坐在小孩那一桌。
讲句题外话，红旗5.5的数据意外不错……？

[NCC105]

@silent_requiem75

红旗5.5的数据意外不错……？

除了备弹也没啥问题
但是除了比较极端情况下，要拦截大量弹药，也不是完全不够用。
因为反正一般不止你一个aa，固定翼现在又过街老鼠

[CM502KG]

[Weapon Missing] J-10C Lacks PL-5DE Missiles // Gaijin.net // Issues
找不到弹体数据

[霸天虎牢大乐迪]

红旗11的冷发射和巨大过载加上转超快雷达确实不错，但车体太大，备弹太少了

[gnahsuom]

现在的空战真便秘，然后吃这坨玩意

[Solometal_Clover]

我现在不求他出个陆盾近防炮了，出个同样的副车让场上有两个机动发射车我都算他们动了脑子

[NCC105]

陆盾本来就没啥用的，不适合环境，还会把机制搞复杂，本来就不如直接来个发射车，都不知道这个谁带起来的，感觉陆盾会有用
陆盾没ahead和VT，拦截效率丢你游是不行的，而且本身体积大也不能跟sa5一样方便。

[silent_requiem75]

不过我觉得我昨天骂归骂，已经算比较克制的了，没什么嘴臭的事

[FangCun]

gaijing还在装死，懒死他们不改歼10的阻力和发动机

[_流萤]

或者说拿个625当副车?（buneng

[霸天虎牢大乐迪]

机炮车可能真不一定有导弹车好用，但是hq11整个系统应该是有导弹发射车、导弹装填车（同样8具发射筒）和一辆机炮近防车的

[NCC105]

@霸天虎牢大乐迪

导弹发射车、导弹装填车

应该说AIO一体车和发射车兼装填车，那个本身还是发射车，只是装了吊臂用来给自己和aio车装填，弹药车应该有其他的

[CM502KG]

[CM502KG]

@Monika_in_action 其他飞机修复了制作组为什么忘了j10c 这也太奇怪了

[Cooked_dough]

包括幼师，f2a，苏34在内这些小众/很早就出了的相控阵飞机都修了雷达，为什么唯独j10c没修呢？让人浮想联翩呢