There will be some inaccuracy with the new 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.
Ground Battles
2012 Replays
Tanks
K/D
Cut off: 500
Vehicle
Ratio
Data points
Merkava Mk.4M
1.78
1447
Merkava Mk.4B
1.62
1120
Merkava Mk.4 LIC
1.58
702
TKX
1.57
2626
Strv 122B+
1.55
2263
Type 10
1.5
3076
Leopard 2A7HU
1.5
1118
Strv 122A
1.49
1831
Strv 122B PLSS
1.49
1608
Leopard 2A7V
1.47
11962
Leclerc SXXI
1.44
1701
Leclerc
1.38
2263
Black Night
1.35
802
Type 90 (B) “Fuji”
1.28
2888
ZTZ99A
1.25
3999
Leclerc AZUR
1.25
1136
Leclerc S2
1.24
1275
WZ1001(E) LCT
1.23
2566
Centauro RGO
1.23
1242
▄Leopard 2A6
1.21
876
Ra’am Sagol
1.21
1501
T-80BVM
1.18
10999
TKX (P)
1.18
1016
Centauro I 120
1.18
560
M1A2 SEP V2
1.17
5340
VT4A1
1.17
1730
Challenger 3 TD
1.15
563
T-90M
1.14
9422
Leopard 2A6
1.13
5684
M1A2 SEP
1.12
3759
Type 90 (B)
1.12
660
Challenger 2
1.09
501
CV 90120
1.09
1255
Challenger 2 OES
1.06
1270
Leopard 2 PSO
1.05
5807
Type 90
1.03
944
M1A1 HC
1.02
1234
M1A2
1.02
2515
T-72B3A
1.0
1780
VT5
1.0
1294
Leopard 2A5
0.97
5218
T-80U
0.97
2269
M1A1 Click-Bait
0.96
9095
Leopard 2A4M
0.95
10372
HSTV-L
0.93
5192
Object 292
0.92
587
M1A1
0.91
1467
Al-Khalid-I
0.9
1165
M1A1 AIM
0.89
5269
Т-80U-Е1
0.89
13573
T-72B3
0.86
3185
T-80UK
0.82
4385
Leopard 2 PL
0.79
3843
Т-90А
0.76
1491
Namer 30
0.74
574
RDF/LT
0.73
3908
Leopard 2 (PzBtl 123)
0.71
1419
T-80B
0.66
520
M1128
0.6
570
Leopard 2A4
0.6
990
ZBD04A
0.6
699
M1128 Wolfpack
0.59
1287
Vilkas
0.59
523
BMP-2M
0.59
2641
2S38
0.57
3144
PUMA VJTF
0.56
2998
2S25M
0.56
1175
T-80UD
0.55
500
Begleitpanzer 57
0.51
545
T-72AV (TURMS-T)
0.51
539
M1 KVT
0.5
646
BMD-4M
0.5
650
ADATS
0.42
1594
LAV-AD
0.25
923
K/D ground only
Cut off: 500
Vehicle
Ratio
Data points
Merkava Mk.4M
1.86
1426
TKX
1.75
2525
Merkava Mk.4B
1.74
1090
Strv 122B PLSS
1.7
1527
Strv 122A
1.69
1742
Strv 122B+
1.68
2198
Merkava Mk.4 LIC
1.67
687
Leopard 2A7HU
1.63
1081
Type 10
1.62
2992
Leopard 2A7V
1.61
11558
Leclerc SXXI
1.55
1651
Leclerc
1.5
2186
Black Night
1.42
785
Leclerc S2
1.35
1226
Leclerc AZUR
1.35
1096
ZTZ99A
1.34
3888
Type 90 (B) “Fuji”
1.33
2837
▄Leopard 2A6
1.33
839
WZ1001(E) LCT
1.32
2490
Centauro RGO
1.32
1205
TKX (P)
1.29
973
Centauro I 120
1.27
541
Ra’am Sagol
1.27
1471
Leopard 2A6
1.26
5402
Challenger 3 TD
1.26
540
T-80BVM
1.25
10729
M1A2 SEP V2
1.24
5187
T-90M
1.23
9085
M1A2 SEP
1.22
3617
Type 90 (B)
1.22
635
VT4A1
1.22
1702
CV 90120
1.2
1200
Leopard 2 PSO
1.16
5528
Challenger 2 OES
1.14
1230
Type 90
1.13
901
M1A1 HC
1.11
1182
M1A2
1.1
2434
Leopard 2A5
1.08
4936
VT5
1.06
1255
T-80U
1.05
2188
M1A1 Click-Bait
1.01
8846
Object 292
1.01
559
T-72B3A
1.01
1767
HSTV-L
1.0
5001
Leopard 2A4M
1.0
10063
M1A1
0.98
1415
Al-Khalid-I
0.97
1121
M1A1 AIM
0.95
5106
Т-80U-Е1
0.92
13295
T-72B3
0.92
3061
Namer 30
0.88
524
Leopard 2 PL
0.87
3655
T-80UK
0.87
4260
Т-90А
0.82
1423
Leopard 2 (PzBtl 123)
0.8
1333
RDF/LT
0.79
3747
T-80B
0.7
502
Leopard 2A4
0.69
914
ZBD04A
0.68
645
2S38
0.66
2885
BMP-2M
0.66
2469
M1128 Wolfpack
0.65
1218
PUMA VJTF
0.65
2726
M1128
0.64
546
2S25M
0.63
1097
ADATS
0.59
1268
T-72AV (TURMS-T)
0.55
515
BMD-4M
0.55
614
M1 KVT
0.53
625
LAV-AD
0.31
779
2S6
0.27
582
CS/SA5
0.22
674
Pantsir-S1
0.19
1274
K/D rank 8 combat and ground only
Cut off: 500
Vehicle
Ratio
Data points
TKX
1.61
1189
Merkava Mk.4M
1.44
729
Leopard 2A7HU
1.4
564
Strv 122B PLSS
1.39
671
Type 10
1.38
1385
Merkava Mk.4B
1.37
588
Leopard 2A7V
1.31
5530
Leclerc SXXI
1.31
819
Strv 122A
1.3
758
Leclerc
1.19
1106
Strv 122B+
1.19
929
Leclerc AZUR
1.14
560
WZ1001(E) LCT
1.11
1288
T-80BVM
1.05
6506
ZTZ99A
1.05
1959
Leclerc S2
1.04
627
CV 90120
1.02
522
T-90M
1.0
5388
M1A2 SEP V2
0.99
2838
Leopard 2A6
0.99
2476
M1A2 SEP
0.96
1988
VT4A1
0.92
867
M1A2
0.91
1265
Leopard 2 PSO
0.9
2518
Leopard 2A5
0.88
2225
T-72B3A
0.81
1033
Leopard 2 PL
0.68
1365
ADATS
0.48
700
Percentage of deaths caused by CAS
Cut off: 100
Vehicle
Ratio
Data points
IRIS-T SLM
61.16%
1264
ItO 90M
57.17%
474
FlaRakRad
50.83%
903
CLAWS
49.62%
655
Type 81 (C)
48.20%
305
Pantsir-S1
42.15%
1846
CS/SA5
32.64%
821
2S6
30.66%
662
Gepard 1A2
29.46%
404
ADATS
29.03%
1123
Gepard
24.07%
324
LAV-AD
19.49%
739
Begleitpanzer 57
17.50%
360
Namer 30
15.20%
329
PUMA VJTF
14.12%
1927
Vilkas
14.02%
328
2S38
12.96%
1998
Strv 122B PLSS
12.52%
647
ZBD04A
12.33%
438
Leopard 2A4
12.30%
618
Strv 122A
12.09%
736
M3A3 Bradley
11.00%
309
Leopard 2A5
10.63%
2652
Leopard 2A6
10.57%
2669
Leopard 2 (PzBtl 123)
10.39%
828
2S25M
10.39%
751
BMP-2M
10.37%
1659
TKX
9.90%
1020
Leopard 2 PSO
9.84%
2834
▄Leopard 2A6
9.32%
397
Type 90
9.23%
466
TKX (P)
9.21%
467
CV 90120
9.17%
600
Object 292
9.15%
306
Leopard 2 PL
8.77%
2143
Leclerc S2
8.60%
570
M1128 Wolfpack
8.54%
808
M1A1 HC
8.50%
612
Leopard 2A7V
8.35%
4836
BMD-4M
8.31%
433
Leopard 2A7HU
8.26%
448
Leclerc
8.10%
951
Type 90 (B)
8.04%
311
M1A2 SEP
8.01%
1773
Т-90А
8.01%
849
Leclerc AZUR
7.91%
506
T-90M
7.65%
4407
T-80UD
7.43%
323
Strv 122B+
7.34%
886
T-72B3
7.23%
1715
Al-Khalid-I
7.19%
612
Leclerc SXXI
7.16%
698
RDF/LT
7.12%
2260
HSTV-L
7.08%
2697
T-80U
7.05%
1149
Merkava Mk.4B
7.01%
428
Type 10
6.84%
1228
M1A1
6.78%
767
M1128
6.74%
356
T-72AV (TURMS-T)
6.72%
357
Centauro RGO
6.65%
556
WZ1001(E) LCT
6.60%
1151
M1A2
6.52%
1242
Challenger 2 OES
6.49%
616
ZTZ99A
6.25%
1775
M1A2 SEP V2
6.20%
2466
VT5
6.02%
648
M1A1 AIM
5.86%
2782
Leopard 2A4M
5.80%
5328
T-80B
5.73%
314
M1A1 Click-Bait
5.36%
4643
T-80BVM
5.35%
5043
T-80UK
5.19%
2409
Black Night
4.99%
341
M1 KVT
4.88%
430
Ra’am Sagol
4.42%
678
Merkava Mk.4M
4.04%
520
Type 90 (B) “Fuji”
4.02%
1268
Т-80U-Е1
3.86%
7195
VT4A1
3.52%
796
T-72B3A
1.46%
892
SPAA
K/D to CAS
Cut off: 200
Vehicle
Ratio
Data points
IRIS-T SLM
2.8
2938
CS/SA5
2.43
920
CLAWS
2.37
1094
EldE 98
2.19
297
SPYDER
1.97
258
ADATS
1.61
851
Type 81 (C)
1.61
383
FlaRakRad
1.57
1181
Tan-SAM Kai
1.5
235
ItO 90M
1.38
644
Pantsir-S1
1.37
1842
Strela-10M
1.36
316
Strela-10M2
1.35
275
2S6
1.08
422
LAV-AD
0.74
250
K/D planes only
Cut off: 200
Vehicle
Ratio
Data points
IRIS-T SLM
2.79
2020
CS/SA5
2.48
612
CLAWS
2.47
749
Type 81 (C)
1.72
253
Strela-10M
1.55
227
Pantsir-S1
1.36
1243
ADATS
1.26
509
FlaRakRad
1.19
766
2S6
1.09
276
ItO 90M
1.07
418
K/D to helicopters only
Cut off: 200
Vehicle
Ratio
Data points
IRIS-T SLM
2.83
918
FlaRakRad
2.77
415
ADATS
2.39
342
CS/SA5
2.35
308
ItO 90M
2.28
226
CLAWS
2.17
345
Pantsir-S1
1.38
599
Weapons destroyed to CAS deaths
Cut off: 100
Vehicle
Ratio
Data points
Tan-SAM Kai
1.03
191
IRIS-T SLM
0.96
1518
CLAWS
0.94
630
CS/SA5
0.82
488
Pantsir-S1
0.74
1352
HQ17
0.51
119
Tor-M1
0.44
105
ItO 90M
0.42
385
FlaRakRad
0.36
624
SPYDER
0.3
113
EldE 98
0.29
120
ADATS
0.25
409
2S6
0.17
238
Strela-10M2
0.1
129
Strela-10M
0.09
146
Type 81 (C)
0.05
155
LAV-AD
0.01
146
Planes
K/D planes only
Cut off: 100
Vehicle
Ratio
Data points
Rafale C
2.33
290
F-2A
2.25
104
◄EF-2000
1.75
817
F-16C
1.44
259
F/A-18C Late
1.41
159
J-11B
1.26
122
Su-30SM
1.05
720
F-15E
0.86
312
◌F/A-18C
0.74
139
Su-33
0.72
246
Su-34
0.39
276
Su-39
0.31
111
Ground kills
Cut off: 100
Vehicle
Amount
Su-30SM
1362
Su-34
662
◄EF-2000
636
F-15E
621
Rafale C
487
F-16C
354
MQ-1
334
Su-39
323
AV-8B
250
◌F/A-18C
244
J-11B
226
F/A-18C Late
187
JH-7A
177
F/A-18C Early
175
Orion
147
JAS39C
108
F-16D
107
F-111F
100
Ground kills to deaths
Cut off: 200
Vehicle
Ratio
Data points
Rafale C
2.1
719
Su-30SM
1.71
2160
JH-7A
1.61
287
Su-34
1.54
1093
AV-8B
1.52
415
J-11B
1.43
384
F-15E
1.19
1144
JAS39C
1.15
202
◌F/A-18C
1.09
467
F-16C
1.05
691
F/A-18C Late
0.95
384
◄EF-2000
0.93
1317
Su-39
0.84
706
F/A-18C Early
0.82
388
F-2A
0.72
215
MQ-1
0.48
1032
A-10A
0.45
291
Orion
0.37
548
Su-33
0.1
403
Ground kills to deaths from ground sources
Cut off: 200
Vehicle
Ratio
Data points
Rafale C
3.83
614
Su-30SM
3.29
1776
Su-34
3.02
881
J-11B
2.35
322
JH-7A
2.13
260
AV-8B
1.98
376
◌F/A-18C
1.94
370
◄EF-2000
1.92
967
F-15E
1.86
954
F-16C
1.73
559
F/A-18C Late
1.57
306
Su-39
1.15
605
F/A-18C Early
1.09
336
A-10A
0.57
248
MQ-1
0.53
967
Orion
0.4
510
Su-33
0.17
235
Helicopters
Ground kills
Cut off: 200
Vehicle
Amount
EC-665 Tiger UHT
910
Ka-50
622
Mi-28NM
461
Z-10ME
453
Ka-52
443
AH-64A
302
YAH-64
226
AH-60
217
RAH-66
170
Z-10
167
AH-1Z
166
AH-64D
138
Z-19E
112
Ground kills to deaths
Cut off: 200
Vehicle
Ratio
Data points
Z-10ME
2.7
621
AH-60
1.95
328
EC-665 Tiger UHT
1.66
1457
AH-64D
1.55
227
AH-1Z
1.5
277
Mi-28NM
1.45
780
Z-10
1.22
304
Z-19E
0.96
229
RAH-66
0.89
362
Ka-52
0.87
951
YAH-64
0.81
506
AH-64A
0.75
703
Ka-50
0.56
1726
Ground kills to deaths from ground sources
Cut off: 200
Minor nations effect to the extreme. True minor nations like Japan, Italy and France already have less but more experienced players, but the following factors make it so that even less people play israel:
Have to get rank IV in the US/USSR/UK/FR tree first to be able to start the Israeli tree.
Have to grind through 50 centurion, M48 and M60 variants.
So this means less bad players play the merkavas, these type bad players usually bring the stats down on other vehicles.
RU best at literally anything.
Ha! Bias confirmed.
It’s also funny to see the almighty 2S38 hugging the bottom in pretty much every stat. From fear mongering found on the forums, one could assume it’s basically a HSTV-L equivalent at a much lower BR.
Merkava is quite a formidable tank atm. I’d say its 3rd behind the Leo/Strv and M1A2 SEP (V2 after Merk). Add in the “minor nation skill” and there you go.
People bitch about them all the time but my experience of shooting them is often hitting and not doing any critical damage, followed up by being killed.
Player stats mean a lot, especially large datasets.
Just place 2A7 on like 10.3 and see it’s stats go up. I doubt that would be a coincidence.
Until you find a way to objectively weigh all of the different stats (mobility, firepower, etc.), looking at player stats will be the best way to balance things, especially from major nations.
They aren’t. A cursory look through Statshark shows this, with for example no less than 3 Zeros ahead of the very OP I-225 in kills per spawn for 5.0, which also has the french NC.900 (Fw 190 A8) as the #1 plane in that metric.
Almost any BR you look at follows a noticeable trend of major nations needing hugely OP vehicles to match minor nations with far more experienced players in worse ones.
People were unironically saying the pantsir was the best spaa still, jesus. It’s also funny to see much worse it is against helis since the radar bug is awful against those.
