Vehicle Performance at Top Tier fourth Edition

Demo analysis of current top tier battles.
Third Edition if you want to compare.

Data is collected from 1,001 Replays

Tanks

K/D Cut off: 200
Vehicle Ratio Data points
Strv 122A 1.49 602
BM Oplot-T 1.46 803
Leopard 2A7HU 1.45 1033
TKX 1.44 1547
T-80BVM 1.38 9616
Black Night 1.37 726
Leopard 2A7V 1.26 3003
Strv 122B PLSS 1.25 374
T-90M 1.22 6205
▄Leopard 2A6 1.22 242
Leclerc SXXI 1.21 1187
Ariete AMV 1.19 348
Type 10 1.18 1605
Centauro RGO 1.18 681
Leclerc S2 1.18 772
Merkava Mk.4M 1.17 414
Leclerc 1.16 1136
M1A2 SEP 1.15 1767
Merkava Mk.4 LIC 1.15 204
Ariete Сertezza 1.14 248
Centauro I 120 1.14 420
Challenger 2 OES 1.13 671
Type 90 (B) “Fuji” 1.13 3890
TKX (P) 1.12 1104
Merkava Mk.4B 1.12 303
Leclerc AZUR 1.11 999
Leopard 2A6NL 1.11 350
Challenger 3 TD 1.09 515
Challenger 2E 1.08 492
Type 90 (B) 1.08 767
Strv 122B+ 1.08 532
M1A2 1.06 959
WZ1001(E) LCT 1.06 868
M1A2 SEP V2 1.05 2172
Leopard 2A5NL 1.02 250
Object 292 1.0 298
VT4A1 1.0 549
Leopard 2 PSO 0.99 1555
Т-80U-Е1 0.98 5945
T-72B3A 0.98 2033
Type 90 0.98 1100
ZTZ99A 0.98 1316
Leopard 2A6 0.95 1639
T-72B3 0.94 1474
Leopard 2A4M 0.93 2467
M1A1 HC 0.92 487
T-80U 0.92 1089
M1A1 Click-Bait 0.91 4306
CV 90120 0.91 292
HSTV-L 0.9 2368
Leopard 2A5 0.88 1593
Challenger 2 0.88 248
M1A1 0.87 655
Ra’am Sagol 0.84 267
T-80UK 0.8 2054
MBT-2000 0.8 209
M1A1 AIM 0.78 1881
RDF/LT 0.78 1453
Т-90А 0.76 669
Al-Khalid-I 0.76 1220
Leopard 2PL 0.74 1247
VT5 0.71 722
KF41 0.69 259
BMP-2M 0.66 1565
2S25M 0.65 726
Freccia 0.63 285
M1128 Wolfpack 0.61 518
2S38 0.6 2216
T-80UD 0.6 274
Namer 30 0.6 221
Leopard 2 (PzBtl 123) 0.58 399
Leopard 2A4 0.58 316
BMD-4M 0.55 281
ZBD04A 0.53 260
OTOMATIC 0.52 308
PUMA VJTF 0.48 876
T-72AV (TURMS-T) 0.48 279
ADATS (M113) 0.43 228
ADATS 0.41 608
M3A3 Bradley 0.39 204
LAV-AD 0.36 375
2S6 0.19 396
CS/SA5 0.15 349
K/D Ground only Cut off: 200
Vehicle Ratio Data points
Leopard 2A7HU 1.7 972
Strv 122A 1.67 575
TKX 1.63 1475
BM Oplot-T 1.57 779
Black Night 1.49 701
T-80BVM 1.46 9383
Leopard 2A7V 1.43 2849
▄Leopard 2A6 1.41 227
Strv 122B PLSS 1.41 355
Leclerc SXXI 1.37 1125
Ariete AMV 1.35 329
Type 10 1.34 1518
Leclerc S2 1.34 730
T-90M 1.33 5976
Leclerc 1.33 1069
TKX (P) 1.31 1029
M1A2 SEP 1.3 1668
Centauro RGO 1.3 651
Merkava Mk.4M 1.3 394
Challenger 3 TD 1.29 478
Ariete Сertezza 1.29 234
Centauro I 120 1.29 398
Leclerc AZUR 1.27 940
Leopard 2A6NL 1.27 329
Challenger 2 OES 1.24 642
Challenger 2E 1.22 466
Type 90 (B) “Fuji” 1.21 3777
Type 90 (B) 1.21 730
Strv 122B+ 1.21 505
Merkava Mk.4B 1.21 292
Leopard 2A5NL 1.19 232
M1A2 1.18 910
M1A2 SEP V2 1.17 2061
WZ1001(E) LCT 1.16 834
Object 292 1.14 280
Type 90 1.14 1023
Leopard 2 PSO 1.13 1456
Leopard 2A6 1.11 1518
ZTZ99A 1.07 1259
VT4A1 1.04 539
Т-80U-Е1 1.03 5805
M1A1 HC 1.02 461
HSTV-L 1.02 2227
T-72B3 1.02 1415
T-72B3A 1.01 2010
Leopard 2A4M 1.0 2386
T-80U 1.0 1046
CV 90120 1.0 278
M1A1 Click-Bait 0.98 4150
Leopard 2A5 0.97 1514
M1A1 0.96 624
Challenger 2 0.95 238
Ra’am Sagol 0.93 253
RDF/LT 0.89 1354
KF41 0.88 227
M1A1 AIM 0.87 1776
T-80UK 0.86 1985
Т-90А 0.83 637
Al-Khalid-I 0.83 1165
Leopard 2PL 0.82 1173
VT5 0.79 676
OTOMATIC 0.76 243
Freccia 0.74 258
BMP-2M 0.73 1475
2S25M 0.72 682
M1128 Wolfpack 0.7 478
Namer 30 0.7 202
2S38 0.69 2050
Leopard 2 (PzBtl 123) 0.67 364
Leopard 2A4 0.66 293
T-80UD 0.65 262
ZBD04A 0.64 231
ADATS 0.62 459
PUMA VJTF 0.6 757
BMD-4M 0.6 267
T-72AV (TURMS-T) 0.53 260
LAV-AD 0.46 313
K/D rank 8 combat and ground only Cut off: 200
Vehicle Ratio Data points
Strv 122A 1.45 270
TKX 1.43 690
Leopard 2A7HU 1.43 552
BM Oplot-T 1.32 382
Leclerc S2 1.27 415
Challenger 3 TD 1.2 253
Black Night 1.2 374
T-80BVM 1.17 4875
Leopard 2A7V 1.14 1428
T-90M 1.11 3258
M1A2 1.1 446
Leclerc 1.09 566
Leclerc AZUR 1.08 542
Type 10 1.07 750
Leclerc SXXI 1.06 619
Challenger 2E 1.05 230
M1A2 SEP 1.04 926
Leopard 2 PSO 1.0 671
M1A2 SEP V2 0.99 1146
Merkava Mk.4M 0.98 222
WZ1001(E) LCT 0.96 383
Leopard 2A6 0.92 774
VT4A1 0.91 260
ZTZ99A 0.89 648
Strv 122B+ 0.87 254
T-72B3A 0.83 1065
Leopard 2A5 0.82 749
ADATS 0.53 239
Percentage of deaths caused by CAS Cut off: 100
Vehicle Ratio Data points
Tan-SAM Kai 77.88% 104
FSAF SAMP/T (Mamba) 63.73% 102
CLAWS 63.09% 401
IRIS-T SLM 61.14% 404
Sky Sabre 56.88% 109
“BUK-M3” 56.24% 521
Type 81 (C) 54.90% 255
FlaRakRad 52.89% 225
ItO 90M 49.57% 347
Strela-10M2 46.62% 133
Pantsir-S1 44.11% 1410
ADATS (M113) 43.40% 159
Gepard 1A2 39.84% 123
CS/SA5 39.80% 304
ADATS 34.49% 432
OTOMATIC 32.02% 203
2S6 31.83% 333
Gepard 25.89% 112
Begleitpanzer 57 23.39% 124
LAV-AD 22.46% 276
KF41 20.92% 153
PUMA VJTF 20.10% 592
ZBD04A 17.06% 170
Freccia 15.43% 175
Challenger 3 TD 15.04% 246
M3A3 Bradley 14.97% 147
Type 16 (FPS) 14.68% 109
Leopard 2A5NL 14.52% 124
Leopard 2A7HU 14.49% 421
TKX (P) 14.40% 521
Leopard 2A6 14.37% 842
BMP-3 14.17% 127
Type 90 13.85% 556
Leopard 2 (PzBtl 123) 13.83% 253
Namer 30 13.77% 138
▄Leopard 2A6 13.76% 109
MBT-2000 12.93% 116
Leclerc 12.76% 525
Leopard 2 PSO 12.66% 782
Leopard 2A6NL 12.65% 166
Leclerc AZUR 12.45% 474
M1128 Wolfpack 12.42% 322
RDF/LT 12.13% 816
Object 292 12.08% 149
Ariete Сertezza 12.07% 116
M1A2 SEP 12.03% 823
2S38 12.02% 1381
M1 KVT 11.97% 117
Ariete AMV 11.95% 159
Leclerc S2 11.86% 354
Type 10 11.82% 736
Leopard 2A7V 11.61% 1326
Leclerc SXXI 11.57% 536
Leopard 2A4 11.50% 200
Strv 122B PLSS 11.45% 166
TKX 11.37% 633
HSTV-L 11.32% 1246
Centauro I 120 11.22% 196
Strv 122A 11.16% 242
Challenger 2E 11.02% 236
VT5 10.87% 423
Strv 122B+ 10.55% 256
M1A2 10.52% 466
Merkava Mk.4M 10.47% 191
M1A2 SEP V2 10.46% 1061
Leopard 2PL 10.31% 718
M1A1 HC 10.24% 254
T-72AV (TURMS-T) 10.05% 189
Type 90 (B) 10.05% 368
2S25M 9.98% 441
M1A1 AIM 9.94% 1056
Ra’am Sagol 9.66% 145
Centauro RGO 9.58% 313
BMP-2M 9.52% 945
Leopard 2A5 9.34% 846
Challenger 2 OES 9.21% 315
CV 90120 9.15% 153
M1A1 8.86% 350
ZTZ99A 8.57% 665
Т-90А 8.40% 381
T-90M 8.21% 2790
Black Night 8.17% 306
WZ1001(E) LCT 8.08% 421
Al-Khalid-I 7.94% 693
T-72B3 7.77% 759
BMD-4M 7.73% 181
Merkava Mk.4B 7.69% 143
T-80U 7.58% 567
Challenger 2 7.58% 132
BM Oplot-T 7.34% 327
T-80UD 7.02% 171
M1A1 Click-Bait 6.94% 2249
Leopard 2A4M 6.35% 1275
M1128 6.25% 112
Type 90 (B) “Fuji” 6.20% 1824
T-80UK 6.06% 1139
T-80BVM 5.76% 4045
Т-80U-Е1 4.67% 3000
VT4A1 3.65% 274
T-72B3A 2.24% 1025

SPAA

K/D to CAS Cut off: 150
Vehicle Ratio Data points
Sky Sabre 2.21 199
IRIS-T SLM 2.11 768
ItO 90M 1.88 495
FSAF SAMP/T (Mamba) 1.77 180
“BUK-M3” 1.71 793
ADATS (M113) 1.68 185
CS/SA5 1.68 324
Pantsir-S1 1.59 1614
Type 81 (C) 1.44 341
ADATS 1.41 359
OTOMATIC 1.34 152
CLAWS 1.29 579
FlaRakRad 1.24 267
Tan-SAM Kai 1.17 176
2S6 1.16 229
2S38 0.73 287
K/D planes only Cut off: 150
Vehicle Ratio Data points
IRIS-T SLM 3.42 420
Type 81 (C) 2.00 174
“BUK-M3” 1.95 549
CS/SA5 1.91 169
CLAWS 1.74 299
ItO 90M 1.69 194
ADATS 1.50 155
Pantsir-S1 1.39 912
K/D to helicopters only Cut off: 150
Vehicle Ratio Data points
ItO 90M 2.01 301
Pantsir-S1 1.91 702
FlaRakRad 1.50 150
CS/SA5 1.46 155
ADATS 1.34 204
IRIS-T SLM 1.29 348
“BUK-M3” 1.28 244
Type 81 (C) 1.04 167
CLAWS 0.94 280
Weapons destroyed to CAS deaths Cut off: 150
Vehicle Ratio Data points
FSAF SAMP/T (Mamba) 2.05 198
Sky Sabre 1.63 163
“BUK-M3” 1.44 714
Pantsir-S1 1.08 1296
CLAWS 1.01 509
CS/SA5 0.91 231
ItO 90M 0.77 305
FlaRakRad 0.48 176
IRIS-T SLM 0.44 355
ADATS 0.28 191
Type 81 (C) 0.10 154
2S38 0.02 170

Planes

K/D planes only Cut off: 100
Vehicle Ratio Data points
Rafale C 2.69 177
◄EF-2000 1.63 113
Su-30SM 1.11 442
Su-33 0.99 163
F-15E 0.95 107
Su-34 0.44 108
Ground kills Cut off: 50
Vehicle Kills
Su-30SM 791
Rafale C 308
Su-34 276
F-15E 180
Su-39 133
F-16C 112
◄EF-2000 81
▄F-5E 71
F/A-18C Early 68
Su-25T 60
F-2000A 60
F-16I 58
◌F/A-18C 57
AV-8B 55
Su-25SM3 53
Ground kills to deaths Cut off: 100
Vehicle Ratio Data points
Rafale C 1.87 473
Su-25T 1.50 100
Su-30SM 1.44 1339
Su-34 1.28 492
AV-8B 1.17 102
Su-39 0.99 268
F-15E 0.95 370
▄F-5E 0.91 149
F-2000A 0.82 133
F-16C 0.79 253
◌F/A-18C 0.64 146
F/A-18C Early 0.62 178
F/A-18C Late 0.59 116
◄EF-2000 0.46 256
A-10A 0.45 106
F-2A 0.44 101
Su-33 0.15 261
Ground kills to deaths from ground sources Cut off: 100
Vehicle Ratio Data points
Rafale C 3.14 406
Su-30SM 2.62 1093
Su-34 2.12 406
▄F-5E 1.51 118
F-15E 1.44 305
F-16C 1.35 195
Su-39 1.33 233
◌F/A-18C 1.04 112
F/A-18C Early 0.91 143
◄EF-2000 0.77 186
Su-33 0.28 156

Helicopters

Ground kills Cut off: 50
Vehicle Kills
Mi-28NM 2395
Ka-50 387
AH-64E 382
Z-10ME 313
Ka-52 256
EC-665 Tiger UHT 185
AH-64A 108
YAH-64 97
AH-129D 91
AH-64D 80
AH-1Z 80
Tiger HAD Block 2 75
RAH-66 57
AH-64DJP 52
Ground kills to deaths Cut off: 100
Vehicle Ratio Data points
Mi-28NM 2.35 3414
AH-64E 2.06 567
Z-10ME 1.97 472
EC-665 Tiger UHT 1.34 323
AH-129D 1.28 162
AH-1Z 1.21 146
Tiger HAD Block 2 1.21 137
Ka-52 1.14 480
RAH-66 0.78 130
Ka-50 0.77 887
YAH-64 0.71 233
AH-64D 0.71 192
AH-64A 0.56 301
Ground kills to deaths from ground sources Cut off: 100
Vehicle Ratio Data points
Mi-28NM 3.24 3134
AH-64E 2.94 512
Z-10ME 2.48 439
EC-665 Tiger UHT 2.28 266
AH-129D 1.90 139
AH-1Z 1.70 127
Tiger HAD Block 2 1.67 120
Ka-52 1.47 430
AH-64D 1.05 156
RAH-66 0.97 116
Ka-50 0.93 804
YAH-64 0.92 202
AH-64A 0.69 265

Note

Multi-vehicle SPAA 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.
3 Likes

I never plan on doing these right after a update is released, I always like things to settle before I do. But my curiosity got the better of me and I wanted to see the percentage that CAS is making up of all kills from each nation.
Thought I may as well share the data too.

CAS kills Percentage
Nation Tank Kills CAS Kills Ratio
USSR 18125 4582 20.18%
Isreal 835 196 19.01%
China 2744 510 15.67%
USA 8715 1465 14.39%
France 2719 456 14.36%
Great Britian 1757 192 9.85%
Italy 2088 170 7.53%
Germany 6696 388 5.48%
Sweden 1394 59 4.06%
Japan 6076 198 3.16%
CAS kills Percentage previous updates
Nation Hornet’s Sting Leviathans Current
USSR 18.72% 13.26% 20.18%
Isreal 17.75% 13.09% 19.01%
China 15.81% 15.70% 15.67%
USA 14.72% 13.13% 14.39%
France 15.26% 13.94% 14.36%
Great Britian 10.19% 9.73% 9.85%
Italy 8.46% 6.95% 7.53%
Germany 6.53% 7.38% 5.48%
Sweden 4.92% 3.78% 4.06%
Japan 5.49% 4.28% 3.16%
2 Likes

Thanks for the data.

2 Likes

The CAS percentages align with win rates in the opposite direction.

Collected another 2,000 replays.
Dataset is now from 3,003 replays.

Tanks

K/D Cut off: 500
Vehicle Ratio Data points
Leopard 2A7HU 1.5 2494
TKX 1.39 4350
Strv 122B PLSS 1.38 1620
Leopard 2A7V 1.36 11516
Black Night 1.36 1797
T-80BVM 1.34 25397
BM Oplot-T 1.33 2521
Strv 122A 1.29 2066
Type 10 1.28 5031
Leclerc SXXI 1.28 3125
Strv 122B+ 1.28 2232
Leclerc 1.27 3102
Merkava Mk.4M 1.27 1310
T-90M 1.26 16544
Merkava Mk.4 LIC 1.26 662
Leclerc AZUR 1.22 2701
Challenger 2E 1.21 1403
Centauro RGO 1.21 1904
Centauro I 120 1.19 1142
Leclerc S2 1.18 2015
Merkava Mk.4B 1.18 1011
Ariete AMV 1.16 871
Type 90 (B) “Fuji” 1.15 9447
M1A2 SEP 1.14 5510
TKX (P) 1.12 2779
Ariete Сertezza 1.12 681
WZ1001(E) LCT 1.11 2860
Leopard 2A6NL 1.1 779
Ra’am Sagol 1.1 1107
Challenger 3 TD 1.09 1369
▄Leopard 2A6 1.09 832
T-80UM2 1.08 523
M1A2 1.07 3336
ZTZ99A 1.07 4136
M1A2 SEP V2 1.05 7102
Challenger 2 OES 1.04 1959
Type 90 (B) 1.04 2036
Ariete PSO 1.03 522
Leopard 2A5NL 1.03 713
◍M1A1 HC 1.02 1283
◍Т-80U-Е1 1.02 1032
Object 292 1.01 1037
CV 90120 1.01 1186
Т-80U-Е1 1.0 16160
VT4A1 1.0 1754
T-72B3A 0.99 5523
Type 90 0.99 2871
T-80U 0.98 3606
M1A1 Click-Bait 0.96 13273
Leopard 2 PSO 0.96 5904
Leopard 2A6 0.95 5720
HSTV-L 0.94 8044
M1A1 0.92 2307
T-72B3 0.92 4601
Leopard 2A5 0.91 5927
Leopard 2A4M 0.9 8642
M1A1 HC 0.89 1593
Challenger 2 0.87 862
IPM1 0.85 513
◍Leopard 2A4M 0.85 1179
T-80UK 0.84 6467
Al-Khalid-I 0.82 5300
MBT-2000 0.82 790
M1A1 AIM 0.81 6900
T 80 U 0.8 622
RDF/LT 0.79 4422
Т-90А 0.77 2113
VT5 0.77 2195
Freccia 0.77 789
Leopard 2PL 0.76 4940
T-80B 0.7 617
KF41 0.69 707
M1128 0.67 797
BMP-2M 0.67 4815
T-80UD 0.67 815
2S25M 0.66 2240
ZBD04A 0.65 908
Namer 30 0.65 719
Leopard 2A4 0.61 1112
Radkampfwagen 90 0.61 509
2S38 0.61 5905
M1 KVT 0.59 628
M1128 Wolfpack 0.59 1681
T-72AV (TURMS-T) 0.59 810
Leopard 2 (PzBtl 123) 0.58 1347
OTOMATIC 0.58 809
BMD-4M 0.57 735
PUMA VJTF 0.52 3320
ZTZ96A (P) 0.52 640
Abrams 0.5 535
Begleitpanzer 57 0.49 615
ADATS (M113) 0.49 562
BMP-3 0.46 515
ADATS 0.43 2061
M3A3 Bradley 0.39 670
LAV-AD 0.3 1267
K/D Ground only Cut off: 500
Vehicle Ratio Data points
Leopard 2A7HU 1.73 2361
Strv 122B PLSS 1.59 1532
TKX 1.56 4149
Leopard 2A7V 1.52 11018
Strv 122A 1.48 1950
Black Night 1.47 1739
Leclerc SXXI 1.45 2963
Type 10 1.44 4789
Leclerc 1.42 2954
T-80BVM 1.41 24867
BM Oplot-T 1.41 2457
Strv 122B+ 1.4 2146
Merkava Mk.4 LIC 1.4 632
Merkava Mk.4M 1.38 1264
Challenger 2E 1.36 1333
Leclerc AZUR 1.36 2579
T-90M 1.35 16032
Centauro I 120 1.34 1081
Centauro RGO 1.34 1820
Merkava Mk.4B 1.34 956
Leclerc S2 1.32 1911
Ariete AMV 1.31 824
TKX (P) 1.3 2599
M1A2 SEP 1.28 5221
Leopard 2A6NL 1.27 729
Challenger 3 TD 1.26 1280
Ariete Сertezza 1.26 646
Type 90 (B) “Fuji” 1.23 9155
▄Leopard 2A6 1.23 786
WZ1001(E) LCT 1.2 2764
M1A2 1.19 3172
Leopard 2A5NL 1.18 670
M1A2 SEP V2 1.16 6775
ZTZ99A 1.16 3979
Ra’am Sagol 1.16 1078
Challenger 2 OES 1.15 1870
Type 90 (B) 1.15 1937
T-80UM2 1.14 511
Object 292 1.13 985
Type 90 1.12 2705
CV 90120 1.12 1127
Leopard 2 PSO 1.11 5500
Leopard 2A6 1.1 5316
◍M1A1 HC 1.07 1254
T-80U 1.05 3484
◍Т-80U-Е1 1.05 1017
Leopard 2A5 1.04 5554
Т-80U-Е1 1.04 15839
VT4A1 1.04 1721
M1A1 Click-Bait 1.03 12817
HSTV-L 1.03 7643
T-72B3A 1.02 5452
M1A1 1.0 2213
T-72B3 0.99 4435
M1A1 HC 0.97 1522
Leopard 2A4M 0.97 8313
Challenger 2 0.96 818
◍Leopard 2A4M 0.91 1135
Freccia 0.91 722
T 80 U 0.91 583
MBT-2000 0.9 750
M1A1 AIM 0.89 6576
T-80UK 0.89 6281
RDF/LT 0.88 4163
Al-Khalid-I 0.88 5105
Leopard 2PL 0.85 4643
VT5 0.85 2077
Т-90А 0.83 2023
OTOMATIC 0.82 661
KF41 0.8 647
M1128 0.79 728
T-80B 0.78 584
Namer 30 0.76 660
ZBD04A 0.74 840
BMP-2M 0.73 4558
2S25M 0.73 2110
T-80UD 0.71 787
Leopard 2A4 0.7 1030
M1128 Wolfpack 0.68 1544
2S38 0.68 5493
Leopard 2 (PzBtl 123) 0.66 1249
ADATS 0.65 1581
M1 KVT 0.64 595
PUMA VJTF 0.63 2911
Begleitpanzer 57 0.63 523
T-72AV (TURMS-T) 0.63 773
BMD-4M 0.62 694
ZTZ96A (P) 0.59 596
M3A3 Bradley 0.47 583
LAV-AD 0.4 1038
K/D rank 8 combat and ground only Cut off: 500
Vehicle Ratio Data points
Leopard 2A7HU 1.45 1269
TKX 1.31 1896
Strv 122B PLSS 1.27 717
Leopard 2A7V 1.22 5359
Leclerc SXXI 1.22 1573
Leclerc 1.2 1560
Type 10 1.17 2220
Leclerc S2 1.17 1015
Strv 122A 1.17 945
T-80BVM 1.15 13020
Black Night 1.14 875
Challenger 2E 1.13 653
BM Oplot-T 1.13 1150
T-90M 1.11 8478
Challenger 3 TD 1.1 635
Merkava Mk.4M 1.09 695
Leclerc AZUR 1.08 1389
Strv 122B+ 1.08 1019
M1A2 SEP 1.07 2855
WZ1001(E) LCT 1.0 1271
M1A2 0.98 1538
ZTZ99A 0.95 1967
M1A2 SEP V2 0.92 3655
CV 90120 0.9 502
Leopard 2A6 0.89 2606
Leopard 2 PSO 0.89 2599
VT4A1 0.87 845
Leopard 2A5 0.86 2596
T-72B3A 0.82 2888
ADATS 0.58 782
Pantsir-S1 0.14 1171
Percentage of deaths caused by CAS Cut off: 500
Vehicle Ratio Data points
IRIS-T SLM 60.27% 1601
CLAWS 57.30% 1150
▄ItO 90M 54.12% 595
“BUK-M3” 53.43% 1503
Type 81 (C) 49.92% 645
FlaRakRad 49.15% 822
Pantsir-S1 42.17% 3301
CS/SA5 38.26% 894
ADATS 33.33% 1440
OTOMATIC 28.96% 511
2S6 27.68% 950
LAV-AD 23.54% 973
PUMA VJTF 18.67% 2191
Leopard 2A6 13.76% 2936
TKX (P) 13.72% 1312
Challenger 3 TD 13.57% 656
Leopard 2 PSO 13.42% 3010
Leopard 2A7HU 13.33% 998
M1128 Wolfpack 12.95% 1058
Strv 122B PLSS 12.94% 680
Strv 122A 12.86% 902
ZBD04A 12.34% 551
Leopard 2A5 12.03% 3101
Leopard 2A4 11.90% 689
Leclerc SXXI 11.81% 1372
Centauro I 120 11.69% 522
Leopard 2 (PzBtl 123) 11.53% 850
Type 90 11.53% 1440
M1A2 SEP 11.23% 2574
Leclerc S2 11.23% 926
2S38 11.22% 3672
TKX 11.05% 1819
Challenger 2E 11.02% 635
Type 10 10.96% 2208
Leclerc 10.81% 1369
Leopard 2PL 10.61% 2800
RDF/LT 10.49% 2468
Leopard 2A7V 10.21% 4877
M1A2 10.18% 1611
Object 292 10.10% 515
Leclerc AZUR 10.05% 1214
CV 90120 9.98% 591
Type 90 (B) 9.91% 999
Centauro RGO 9.74% 862
HSTV-L 9.65% 4157
2S25M 9.62% 1352
VT5 9.51% 1241
M1A2 SEP V2 9.44% 3465
Challenger 2 OES 9.27% 960
BMP-2M 8.91% 2886
Strv 122B+ 8.78% 980
M1A1 AIM 8.50% 3811
M1A1 HC 8.40% 845
Merkava Mk.4M 7.99% 576
ZTZ99A 7.85% 2001
M1A1 7.83% 1201
Black Night 7.61% 762
Т-90А 7.53% 1196
Leopard 2A4M 7.24% 4542
T-72AV (TURMS-T) 7.24% 511
WZ1001(E) LCT 7.08% 1355
T-90M 6.98% 7333
T-72B3 6.93% 2397
◍Leopard 2A4M 6.91% 637
M1A1 Click-Bait 6.72% 6782
T-80U 6.70% 1820
Al-Khalid-I 6.70% 2912
Type 90 (B) “Fuji” 6.64% 4396
BM Oplot-T 5.90% 1084
Ra’am Sagol 5.50% 527
T-80UK 5.30% 3512
T-80BVM 4.89% 10837
◍M1A1 HC 4.57% 634
Т-80U-Е1 3.96% 8100
VT4A1 3.77% 876
◍Т-80U-Е1 2.93% 512
T-72B3A 2.56% 2769

SPAA

K/D to CAS Cut off: 500
Vehicle Ratio Data points
Sky Sabre 2.4 524
IRIS-T SLM 2.15 3036
ItO 90M 2.14 521
CS/SA5 1.99 1022
“BUK-M3” 1.92 2346
Pantsir-S1 1.75 3826
FSAF SAMP/T (Mamba) 1.72 504
CLAWS 1.57 1692
FlaRakRad 1.56 1033
ADATS 1.52 1211
Type 81 (C) 1.41 775
Tan-SAM Kai 1.25 501
2S6 1.2 579
K/D planes only Cut off: 250
Vehicle Ratio Data points
IRIS-T SLM 3.08 1834
Sky Sabre 2.75 285
CS/SA5 2.38 584
“BUK-M3” 2.33 1686
FSAF SAMP/T (Mamba) 2.17 298
CLAWS 1.89 1008
Type 81 (C) 1.78 403
Pantsir-S1 1.59 2262
Tan-SAM Kai 1.59 287
ADATS 1.56 543
FlaRakRad 1.28 463
2S6 1.25 335
K/D to helicopters only Cut off: 250
Vehicle Ratio Data points
ItO 90M 2.21 311
Pantsir-S1 2.01 1564
FlaRakRad 1.84 570
CS/SA5 1.59 438
ADATS 1.49 668
IRIS-T SLM 1.33 1202
“BUK-M3” 1.23 660
CLAWS 1.21 684
Type 81 (C) 1.1 372
Weapons destroyed to CAS deaths Cut off: 250
Vehicle Ratio Data points
FSAF SAMP/T 2.61 336
FSAF SAMP/T (Mamba) 2.27 605
“BUK-M3” 1.56 2053
Sky Sabre 1.46 379
Pantsir-S1 1.13 2966
CLAWS 0.97 1296
CS/SA5 0.87 638
Tan-SAM Kai 0.77 394
ItO 90M 0.64 272
FlaRakRad 0.48 596
IRIS-T SLM 0.45 1401
2S6 0.33 351
ADATS 0.32 632
Type 81 (C) 0.08 348

Planes

K/D planes only Cut off: 250
Vehicle Ratio Data points
Rafale C 2.65 412
◄EF-2000 1.59 467
Su-30SM 1.08 1057
F-15E 1.03 325
Su-33 0.92 448
Su-34 0.58 306
Ground kills Cut off: 200
Vehicle Kills
Su-30SM 2228
Su-34 787
Rafale C 768
F-15E 599
Su-39 371
F-16C 360
◄EF-2000 347
◌F/A-18C 245
F-16I 215
Ground kills to deaths Cut off: 500
Vehicle Ratio Data points
Rafale C 1.81 1193
Su-30SM 1.67 3565
Su-34 1.43 1337
F-15E 0.94 1234
Su-39 0.94 764
F-16C 0.8 809
◄EF-2000 0.53 1005
◌F/A-18C 0.53 711
Su-33 0.15 813
Ground kills to deaths from ground sources Cut off: 500
Vehicle Ratio Data points
Rafale C 2.92 1031
Su-30SM 2.89 3000
Su-34 2.38 1118
F-15E 1.37 1036
Su-39 1.27 662
F-16C 1.22 654
◄EF-2000 0.9 734
◌F/A-18C 0.85 534
Su-33 0.26 520

Helicopters

Ground kills Cut off: 200
Vehicle Kills
Mi-28NM 5985
AH-64E 1290
Ka-50 1089
Z-10ME 869
EC-665 Tiger UHT 675
Ka-52 651
AH-64A 416
YAH-64 290
Z-19E 224
RAH-66 211
Ground kills to deaths Cut off: 500
Vehicle Ratio Data points
Mi-28NM 2.49 8387
AH-64E 2.14 1892
Z-10ME 2.0 1304
EC-665 Tiger UHT 1.27 1206
Ka-52 1.0 1299
Z-19E 0.73 529
Ka-50 0.7 2642
AH-64A 0.65 1054
YAH-64 0.65 739
Ground kills to deaths from ground sources Cut off: 500
Vehicle Ratio Data points
Mi-28NM 3.47 7710
AH-64E 3.08 1709
Z-10ME 2.59 1204
EC-665 Tiger UHT 1.96 1020
Ka-52 1.29 1157
Ka-50 0.84 2383
AH-64A 0.81 927
YAH-64 0.81 646

Note

Multi-vehicle SPAA 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.
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The Soviet steel is now losing to Nato tanks and airforce sound painfull now.