Statistics for top tier ground battles gathered from replays.
3000 replays from the 8th - 17th of this month.
Tanks
K/D
Cut off: 1500
Vehicle
Ratio
Data points
Leopard 2A7HU
1.64
2672
Merkava Mk.4M
1.56
1830
Strv 122B+
1.42
2986
M1A2T
1.41
6617
Black Night
1.38
1540
TKX
1.37
3413
Leopard 2A7V
1.35
12481
Strv 122B PLSS
1.35
1778
T-80BVM
1.30
27404
Type 10
1.30
4384
Challenger 2 OES
1.26
2000
BMPT
1.24
13929
Leclerc SXXI
1.24
1832
M1A2 SEP V2
1.23
8971
Centauro RGO
1.23
2004
BM Oplot-T
1.21
1714
ZTZ96B
1.21
3461
T-90M
1.20
14989
M1A2 SEP
1.19
4868
Strv 122A
1.16
2020
ZTZ99A
1.13
6562
VT4A1
1.13
3480
Type 90 (B) “Fuji”
1.12
6181
Leclerc
1.12
2310
M1A1 Click-Bait
1.11
15312
WZ1001(E) LCT
1.08
2592
Leopard 2A6
1.05
5384
T-80U-E1
1.03
26007
TKX (P)
1.02
1563
◍Т-80U-Е1
1.01
5980
BMPT-72
0.99
8629
Al-Khalid-I
0.99
6561
Oplot-M
0.99
2250
T-72B3A
0.98
4380
M1A1 AIM
0.97
6835
M1A2
0.97
3587
Leopard 2A5
0.97
5003
Leopard 2 PSO
0.96
5780
◍M1A1 HC
0.95
2555
Leopard 2A4M
0.91
7774
M1A1
0.90
2331
T-72B3 “Arena”
0.90
1534
CV90120-T
0.88
1848
HSTV-L
0.87
7083
VT5
0.87
2247
RDF/LT
0.86
4208
T-80UK
0.85
5141
M1A1 HC
0.83
2092
Leopard 2PL
0.81
7161
T-80U
0.81
3800
◍Leopard 2A4M
0.76
2326
T-72B3
0.76
3097
2S38
0.66
5272
BMP-2M
0.64
2824
PUMA VJTF
0.47
4798
K/D ground only
Cut off: 1500
Vehicle
Ratio
Data points
Leopard 2A7HU
1.86
2545
Merkava Mk.4M
1.64
1782
Strv 122B+
1.55
2867
M1A2T
1.53
6362
Strv 122B PLSS
1.53
1678
TKX
1.51
3262
Leopard 2A7V
1.48
11947
Type 10
1.39
4236
Leclerc SXXI
1.36
1755
T-80BVM
1.35
26894
Challenger 2 OES
1.35
1923
M1A2 SEP V2
1.34
8592
M1A2 SEP
1.32
4615
Centauro RGO
1.32
1940
BMPT
1.31
13398
BM Oplot-T
1.31
1648
Strv 122A
1.28
1918
T-90M
1.27
14571
ZTZ96B
1.25
3361
ZTZ99A
1.21
6271
Leclerc
1.20
2233
M1A1 Click-Bait
1.18
14757
Leopard 2A6
1.17
5078
Type 90 (B) “Fuji”
1.17
6024
WZ1001(E) LCT
1.17
2479
VT4A1
1.17
3394
M1A2
1.08
3383
Leopard 2A5
1.08
4713
Leopard 2 PSO
1.07
5433
Oplot-M
1.07
2163
T-80U-E1
1.06
25550
M1A1 AIM
1.04
6552
◍Т-80U-Е1
1.04
5881
Al-Khalid-I
1.04
6339
BMPT-72
1.03
8336
◍M1A1 HC
1.01
2458
T-72B3A
1.00
4290
Leopard 2A4M
0.98
7436
CV90120-T
0.98
1748
M1A1
0.96
2232
VT5
0.94
2143
HSTV-L
0.92
6650
M1A1 HC
0.89
1997
RDF/LT
0.89
3888
Leopard 2PL
0.88
6785
T-80UK
0.88
5027
T-80U
0.85
3672
T-72B3
0.81
2985
◍Leopard 2A4M
0.80
2248
2S38
0.68
4865
BMP-2M
0.68
2691
PUMA VJTF
0.51
4163
Percentage of deaths caused by CAS
Cut off: 500
Vehicle
Ratio
Data points
IRIS-T SLM
58.58%
1200
“BUK-M3”
54.96%
917
NASAMS 3
54.49%
646
HQ11
47.21%
646
FlaRakRad
40.19%
2299
Pantsir-S1
31.48%
5445
CS/SA5
30.46%
1645
ADATS
27.20%
3901
Pantsir SM-SV
25.46%
2282
2S6
19.62%
729
PUMA VJTF
15.83%
3272
Challenger 3 TD
12.87%
575
Strv 122B PLSS
12.32%
755
Leopard 2A4
12.15%
568
Leopard 2A7HU
12.06%
1012
EBRC Jaguar
11.79%
831
Leopard 2 PSO
11.16%
2949
Leopard 2A6
11.05%
2625
Leopard 2A5
10.72%
2537
M1A2 SEP
10.62%
2223
ZBD04A
10.58%
520
M1A2
10.45%
1819
CV90120-T
10.06%
984
Leclerc S2
10.00%
590
Strv 122A
9.95%
935
M1128 Wolfpack
9.75%
872
TKX
9.59%
1439
RDF/LT
9.36%
2266
Leopard 2A7V
9.31%
5306
Leclerc SXXI
9.06%
817
MBT-2000
9.05%
829
Leopard 2PL
8.90%
3953
TKX (P)
8.79%
774
HSTV-L
8.76%
3788
Strv 122B+
8.75%
1234
M1A2 SEP V2
8.70%
4024
2S38
8.60%
3176
M1A2T
8.52%
2746
WZ1001(E) LCT
8.36%
1244
ZTZ99A
8.20%
3085
Ariete Certezza
8.20%
549
VT5
7.98%
1203
Leopard 2A4M
7.83%
4072
BM Oplot-T
7.75%
774
Challenger 2 OES
7.56%
886
M1A1 HC
7.52%
1144
Leopard 2 (PzBtl 123)
7.33%
614
Oplot-M
7.26%
1129
M1A1 AIM
7.22%
3465
M1A1
7.18%
1225
Type 10
7.18%
1907
Leclerc AZUR
7.14%
630
M1A1 Click-Bait
7.04%
7274
Type 90
6.79%
677
Centauro RGO
6.69%
897
Leclerc
6.61%
1089
BMP-2M
6.58%
1718
◍M1A1 HC
6.35%
1308
BMPT
6.35%
6205
T-72B3
6.04%
1755
Black Night
6.04%
646
Al-Khalid-I
5.91%
3298
T-80U
5.80%
2103
2S25M
5.77%
780
T-90M
5.59%
6801
◍Leopard 2A4M
5.58%
1325
Merkava Mk.4M
5.46%
714
T-90A
5.45%
715
BMPT-72
5.44%
4339
ZTZ96B
4.91%
1568
Type 90 (B) “Fuji”
4.84%
2913
T-72B3 “Arena”
4.71%
806
VT4A1
4.04%
1632
T-80UK
3.78%
2777
T-80BVM
3.77%
11901
T-72B3A
3.34%
2215
T-80U-E1
3.32%
12813
◍Т-80U-Е1
3.05%
2980
K/D rank 8 combat and ground only
Cut off: 500
Vehicle
Ratio
Data points
Leopard 2A7HU
1.58
1183
Strv 122B PLSS
1.45
757
M1A2T
1.39
2938
Merkava Mk.4M
1.39
868
TKX
1.38
1464
Type 10
1.34
1925
Strv 122B+
1.33
1348
Leopard 2A7V
1.26
5512
Black Night
1.25
719
M1A2 SEP
1.20
2216
M1A2 SEP V2
1.16
4137
T-80BVM
1.16
14534
BM Oplot-T
1.13
706
ZTZ99A
1.11
2639
T-90M
1.10
7760
WZ1001(E) LCT
1.07
1054
Leclerc SXXI
1.07
802
Strv 122A
1.05
850
Leclerc
1.03
1055
Leopard 2A6
1.02
2297
VT4A1
1.01
1512
M1A2
1.00
1410
Leopard 2A5
0.97
2153
Leclerc S2
0.96
573
Oplot-M
0.94
885
Leopard 2 PSO
0.93
2576
Leclerc AZUR
0.92
596
T-72B3A
0.85
2323
ADATS
0.46
1613
Pantsir SM-SV
0.33
1211
CS/SA5
0.26
566
Pantsir-S1
0.16
2025
FlaRakRad
0.11
587
SPAA
K/D to CAS
Cut off: 300
Vehicle
Ratio
Data points
Pantsir SM-SV
3.35
2527
Sky Sabre
2.49
377
FSAF SAMP/T (Mamba)
2.36
500
HQ11
2.36
1026
FSAF SAMP/T
2.10
459
EldE 98
1.96
308
IRIS-T SLM
1.80
1966
NASAMS 3
1.50
879
Pantsir-S1
1.43
4163
▄ItO 90M
1.39
431
CS/SA5
1.35
1179
CLAWS
1.24
586
“BUK-M3”
1.24
1127
ItO 90M
1.22
377
FlaRakRad
1.11
1954
ADATS
0.88
1995
Tan-SAM Kai
0.77
454
K/D planes only
Cut off: 200
Vehicle
Ratio
Data points
HQ11
3.52
700
Pantsir SM-SV
3.52
1549
Sky Sabre
3.40
255
FSAF SAMP/T
2.90
324
FSAF SAMP/T (Mamba)
2.83
364
EldE 98
2.49
220
IRIS-T SLM
2.41
1283
NASAMS 3
1.74
612
CS/SA5
1.56
716
“BUK-M3”
1.49
829
Pantsir-S1
1.42
2748
CLAWS
1.36
389
▄ItO 90M
1.10
242
Tan-SAM Kai
1.01
299
FlaRakRad
0.95
1074
ADATS
0.82
1076
K/D to helicopters only
Cut off: 200
Vehicle
Ratio
Data points
Pantsir SM-SV
3.11
978
Pantsir-S1
1.45
1415
FlaRakRad
1.35
880
HQ11
1.17
326
CS/SA5
1.10
463
IRIS-T SLM
1.09
683
NASAMS 3
1.07
267
ADATS
0.95
919
“BUK-M3”
0.74
298
Weapons destroyed to CAS deaths
Cut off: 200
Vehicle
Ratio
Data points
Pantsir SM-SV
4.44
3163
HQ11
3.82
1470
FSAF SAMP/T
3.51
668
FSAF SAMP/T (Mamba)
3.00
596
Sky Sabre
2.18
343
Pantsir-S1
2.05
5236
OTOMATIC
1.76
334
“BUK-M3”
1.66
1342
NASAMS 3
1.61
917
CLAWS
1.36
619
ItO 90M
1.28
388
▄ItO 90M
1.14
386
CS/SA5
1.00
1004
Type 03
0.91
216
SPYDER
0.87
236
Tan-SAM Kai
0.73
445
IRIS-T SLM
0.67
1176
FlaRakRad
0.64
1516
ADATS
0.46
1547
2S6
0.45
208
Planes
K/D planes only
Cut off: 100
Vehicle
Ratio
Data points
Rafale C
2.42
188
J-10C
2.23
139
F-2000A (AESA Included)
2.09
133
◄EF-2000 (AESA Included)
1.87
419
F/A-18E
1.72
144
JAS39E
1.63
171
▄Su-30MKM
1.50
150
Su-30SM2
1.41
825
J-15T
1.30
101
Su-30SM
1.27
415
F-2A
1.27
134
F-16C
1.11
184
␗Su-30MKK
0.91
103
F-15E
0.84
273
Su-33
0.76
236
F/A-18C Early
0.69
147
▄Su-30MK
0.61
421
Su-34
0.60
245
◌F/A-18C
0.55
191
Ground kills
Cut off: 100
Vehicle
Kills
Su-30SM2
2397
Su-30SM
1277
▄Su-30MK
1053
Su-34
823
F-15E
578
◄EF-2000 (AESA Included)
457
▄Su-30MKM
417
JAS39E
322
Rafale C
287
F/A-18E
267
JH-7A
267
F-16C
259
◌F/A-18C
249
J-10C
242
F/A-18C Early
241
␗Su-30MKK
227
F-15I
187
F-2000A (AESA Included)
185
J-15T
156
Su-39
147
F-2A
121
F/A-18C Late
108
Ground kills to deaths
Cut off: 300
Vehicle
Ratio
Data points
▄Su-30MKM
1.98
628
Su-30SM2
1.97
3612
Su-30SM
1.76
2001
Su-34
1.56
1352
Rafale C
1.37
497
F-15I
1.36
325
JH-7A
1.29
474
J-10C
1.29
430
F/A-18E
1.17
496
F-2000A (AESA Included)
1.17
343
JAS39E
1.06
626
▄Su-30MK
1.01
2097
␗Su-30MKK
1.01
452
F-15E
0.99
1162
◄EF-2000 (AESA Included)
0.74
1074
Su-39
0.73
347
F-16C
0.69
637
F/A-18C Early
0.55
682
F-2A
0.48
371
◌F/A-18C
0.46
793
Su-33
0.12
501
Ground kills to deaths from ground sources
Cut off: 300
Vehicle
Ratio
Data points
▄Su-30MKM
3.02
555
Su-30SM2
2.92
3218
Su-30SM
2.45
1798
Su-34
2.29
1183
Rafale C
1.95
434
J-10C
1.79
377
F/A-18E
1.68
426
JH-7A
1.55
439
▄Su-30MK
1.46
1773
JAS39E
1.46
543
F-15E
1.42
985
␗Su-30MKK
1.38
392
◄EF-2000 (AESA Included)
1.10
872
F-16C
0.97
526
Su-39
0.93
305
F/A-18C Early
0.73
572
◌F/A-18C
0.64
641
Su-33
0.20
330
Helicopters
Ground kills
Cut off: 100
Vehicle
Kills
Mi-28NM
5133
Z-10ME
1122
AH-64E
936
Ka-50
627
EC-665 Tiger UHT
404
Ka-52
322
◥AH-64E
242
AH-64A
192
◘AH-64E
174
YAH-64
157
Z-19E
129
AH-60
113
AH Mk.2
112
␗AH-64E
104
Ground kills to deaths
Cut off: 200
Vehicle
Ratio
Data points
Mi-28NM
2.70
7035
Z-10ME
2.21
1630
AH-64E
2.07
1389
◥AH-64E
2.02
362
◘AH-64E
1.96
263
AH-60
1.15
211
EC-665 Tiger UHT
1.09
774
Ka-52
0.88
690
YAH-64
0.66
395
Z-19E
0.65
327
Ka-50
0.55
1773
RAH-66
0.50
221
AH-64A
0.48
589
Ground kills to deaths from ground sources
Cut off: 200
Vehicle
Ratio
Data points
Mi-28NM
3.81
6479
Z-10ME
2.71
1536
AH-64E
2.50
1310
◘AH-64E
2.49
244
◥AH-64E
2.42
342
EC-665 Tiger UHT
1.43
686
Ka-52
1.07
623
YAH-64
0.78
358
Z-19E
0.76
298
Ka-50
0.64
1612
AH-64A
0.57
527
Other
Nation K/D
Nation
Ratio
Data points
Italy
1.16
13094
Israel
1.12
7022
Japan
1.08
24156
USSR
1.06
170784
Great Britain
1.05
10422
France
1.05
13189
Sweden
1.05
14451
China
1.04
50074
USA
0.92
81538
Germany
0.86
68178
Nation ground K/D
Nation
Ratio
Data points
Italy
1.21
11096
Israel
1.21
5410
Japan
1.13
20408
Sweden
1.11
11895
Great Britain
1.06
8425
China
1.03
40557
France
1.02
10179
USSR
0.99
135920
USA
0.97
66245
Germany
0.90
56499
Nation CAS kill percentage
Nation
Tank Kills
CAS Kills
CAS % Nation
CAS % Total
Tank Kills % Total
USSR
67775
12374
15.44%
54.69%
36.97%
USA
32618
3312
9.22%
14.64%
17.79%
China
20566
2530
10.95%
11.18%
11.22%
Germany
26775
1293
4.61%
5.71%
14.61%
Japan
10816
922
7.85%
4.08%
5.90%
France
5138
664
11.44%
2.93%
2.80%
Sweden
6253
448
6.69%
1.98%
3.41%
Israel
2964
421
12.44%
1.86%
1.62%
Great Britain
4328
387
8.21%
1.71%
2.36%
Italy
6084
274
4.31%
1.21%
3.32%
Nation CAS death percentage
Nation
Tank Deaths
CAS Deaths
CAS Deaths %
Israel
2446
427
14.86%
Germany
29724
4953
14.28%
France
5041
819
13.98%
Sweden
5642
906
13.84%
Italy
5012
757
13.12%
Great Britain
4097
569
12.19%
USA
33627
4540
11.90%
China
19991
2483
11.05%
Japan
9592
1183
10.98%
USSR
68145
6084
8.20%
Nation pairing
USA
USSR
DE
GB
Japan
Italy
FR
China
Sweden
Israel
USA
25.2%
23.4%
70.2%
43.7%
72.4%
48.6%
49.6%
53.3%
92.6%
USSR
25.2%
49.8%
16.3%
32.4%
35.1%
23.1%
32.4%
18.2%
12.0%
DE
23.4%
49.8%
41.1%
39.3%
12.1%
35.7%
30.8%
72.4%
33.5%
GB
70.2%
16.3%
41.1%
69.6%
65.0%
66.4%
73.5%
61.0%
71.8%
Japan
43.7%
32.4%
39.3%
69.6%
71.9%
91.7%
71.4%
42.2%
52.0%
Italy
72.4%
35.1%
12.1%
65.0%
71.9%
68.7%
63.5%
38.7%
74.2%
FR
48.6%
23.1%
35.7%
66.4%
91.7%
68.7%
80.8%
54.9%
59.0%
China
49.6%
32.4%
30.8%
73.5%
71.4%
63.5%
80.8%
44.6%
49.9%
Sweden
53.3%
18.2%
72.4%
61.0%
42.2%
38.7%
54.9%
44.6%
67.1%
Israel
92.6%
12.0%
33.5%
71.8%
52.0%
74.2%
59.0%
49.9%
67.1%
Notes
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.
Vehicle Names
Some vehicles with similar names are combined into one for certain vehicles. This isn't my doing but how the game displays them in the kill feed.
Any minor nation player is better than main nation player,so people playing Hungarian 2A7,Chinese Abrams and other minor nation vehicles tend to be better,yes.
Literally nobody fires at recon drones and the Elde literally only have a real chance against those given their missiles are so slow and short range. Also it’s small, I mean it still can’t get to some cap points to rearm because gaijin is too lazy to fix its mobility I bug reported and it gets stuck unable to move or loses all speed and fish tails itself when going in a straight line or refuses to turn because the trailer is pushing it. But yeah it’s OP should be 13.0 tbh
These jokes wrote themselves…ffs HOW IN THE HELL IS THERE AN 18.2% CHANCE TO GET RUSSIAN TEAMMATES AS A SWEDEN MAIN. Also a 72% chance to get Germans…. Holy fuck my theories are correct Sweden literally is allergic to Russian teammates!!!
It’s not really any significant different than the SEPv1 and the SEPv2 is at worst a sidegrade to the M1A2T, it could be argued that the SEPv2 is better.