Vehicle Performance at Top Tier Sixth Edition

Game Discussion Realistic Battle
1

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
unknown 0.00 33
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.
2 Likes
2

Over 90% chance Israel gets paired with US

The jokes do write themselves

1 Like
3

Is the Chinese player just better at playing the Abrams?

4

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.

5

No, it’s the best Abrams out.