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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.29%
Members: 27 active members (73 total)
Avg. Member Points: 11,455
Total Kills: 336,762
Total Deaths: 290,851
Avg. Kills: 12,473
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 378d 20:26:23h
Avg. Connection Time: 14d 00:45:25h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 20.49% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.41% 6,226 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.48% 11,872 0.42
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.98% 15,929 1.48
5  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.92% 1,465 2.12
6  Russian federationИлья190RUS elorank 12,482 3d 17:21:42h 3,886 1.15% 3,378 1.15
7  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.20% 5,572 1.93
8  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.12% 13,411 1.03
10  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
11  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.32% 775 1.38
12  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.40% 24,192 1.03
13  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.32% 5,036 0.88
14  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.85% 12,310 1.05
15  Russian federationSprut elorank 9,341 2d 04:18:52h 1,732 0.51% 2,239 0.77
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.99% 3,500 0.95
17  Russian federationShalfeYka elorank 10,041 2d 00:37:07h 1,778 0.53% 1,779 1.00
18  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.43% 10,412 1.11
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.80% 18,072 0.89
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.27% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 2 times 10
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 43 times 172
6 Start Defusing the Bomb Without a Defuse Kit 49 times 0
7 Defuse the Bomb 392 times 3,920
8 Domination (4 kills) 393 times 1,179
9 Start Defusing the Bomb With a Defuse Kit 590 times 0
10 Revenge 1,546 times 4,638
11 Triple Kill (3 kills) 2,250 times 4,500
12 Domination 2,909 times 14,545
13 Plant the Bomb 4,452 times 44,520
14 Double Kill (2 kills) 9,432 times 9,432
15 Drop the Bomb 12,189 times -24378
16 Round MVP 14,982 times 0
17 Pick up the Bomb 21,720 times 43,440
18 Headshot 23,576 times 23,576




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,496 times -12480
2 Revenge 1,695 times -5085




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,955 times 28.94%
2 Counter-Terrorist 2,060 times 20.17%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
5 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
6 Steyr Aug 1.00 64 0.02% 31 0.02% 0.48
7 Benelli/H&K M4 Super 90 XM1014 1.10 74 0.02% 27 0.02% 0.36
8 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
9 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
10 Ingram MAC-10 1.50 118 0.04% 59 0.05% 0.50
11 Galil 1.10 119 0.04% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 128 0.04% 65 0.05% 0.51
13 Dual Beretta 96G Elite 1.40 219 0.07% 100 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 602 0.18% 251 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 958 0.28% 429 0.34% 0.45
16 Sig Sauer P-228 1.50 1,268 0.38% 535 0.42% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,423 0.42% 2 0.00% 0.00
18 FN P90 1.20 1,498 0.44% 661 0.52% 0.44
19 High Explosive Grenade 1.80 1,984 0.59% 0 0.00% 0.00
20 M249 PARA Light Machine Gun 1.20 2,073 0.62% 1,018 0.81% 0.49
21 Arctic Warfare Magnum (Police) 1.00 2,135 0.63% 328 0.26% 0.15
22 Steyr Scout 1.10 5,049 1.50% 3,049 2.41% 0.60
23 Desert Eagle .50AE 1.20 5,128 1.52% 2,774 2.20% 0.54
24 Colt M4A1 Carbine 1.00 9,748 2.89% 4,295 3.40% 0.44
25 Kalashnikov AK-47 1.00 18,289 5.43% 9,183 7.27% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
4 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
5 Steyr Tactical Machine Pistol 2,992 422 7,507 26 49 49.0000 14.1% 17.8 61.1
6 FN Five-Seven 1,214 319 8,515 29 58 29.0000 26.3% 26.7 20.9
7 Steyr Aug 2,534 341 10,211 32 65 16.2500 13.5% 29.9 39.0
8 Benelli/H&K M4 Super 90 XM1014 1,324 917 10,783 27 74 14.8000 69.3% 11.8 17.9
9 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
10 Glock 18 Select Fire 4,973 881 15,544 49 101 6.7333 17.7% 17.6 49.2
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Galil 3,338 494 16,512 50 119 59.5000 14.8% 33.4 28.1
13 H&K USP .45 Tactical 4,503 819 17,507 64 127 9.7692 18.2% 21.4 35.5
14 Dual Beretta 96G Elite 5,451 1,094 30,182 100 219 73.0000 20.1% 27.6 24.9
15 Bundeswehr Advanced Combat Knife 12,000 1,154 59,810 2 400 1.7094 9.6% 51.8 30.0
16 Benelli M3 Super 90 Combat 2,692 5,397 78,945 251 602 2.0546 200.5% 14.6 4.5
17 Sig Sauer SG-552 Commando 74,092 4,936 142,800 442 974 42.3478 6.7% 28.9 76.1
18 Sig Sauer P-228 34,059 5,259 162,467 535 1,268 23.9245 15.4% 30.9 26.9
19 FN P90 75,108 8,491 198,681 661 1,498 10.1905 11.3% 23.4 50.1
20 M249 PARA Light Machine Gun 109,050 7,968 302,292 1,070 2,131 12.9152 7.3% 37.9 51.2
21 Arctic Warfare Magnum (Police) 9,233 3,116 409,414 335 2,143 5.1889 33.7% 131.4 4.3
22 Steyr Scout 41,346 12,127 1,154,411 3,046 5,047 2.4560 29.3% 95.2 8.2
23 Desert Eagle .50AE 55,213 14,327 745,134 2,811 5,171 4.1468 25.9% 52.0 10.7
24 Colt M4A1 Carbine 373,080 43,860 1,377,825 4,296 9,752 10.8356 11.8% 31.4 38.3
25 Kalashnikov AK-47 569,995 66,315 2,621,035 9,612 18,819 9.6310 11.6% 39.5 30.3




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
4 Fusil Automatique 115 20.0% 64.3% 15.7%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 319 23.2% 61.8% 15.0%
7 Steyr Aug 341 27.9% 55.7% 16.4%
8 Steyr Tactical Machine Pistol 422 27.5% 63.0% 9.5%
9 Galil 494 28.9% 55.7% 15.4%
10 H&K USP .45 Tactical 819 24.4% 62.4% 13.2%
11 Ingram MAC-10 826 26.6% 59.0% 14.4%
12 H&K MP5-Navy 855 29.4% 56.3% 14.4%
13 Glock 18 Select Fire 881 26.1% 62.5% 11.4%
14 Benelli/H&K M4 Super 90 XM1014 917 26.8% 56.6% 16.6%
15 Dual Beretta 96G Elite 1,094 25.0% 61.3% 13.6%
16 Arctic Warfare Magnum (Police) 3,116 32.7% 57.4% 9.8%
17 Sig Sauer SG-552 Commando 4,936 28.9% 55.8% 15.3%
18 Sig Sauer P-228 5,259 28.8% 57.4% 13.7%
19 Benelli M3 Super 90 Combat 5,397 29.7% 57.5% 12.8%
20 M249 PARA Light Machine Gun 7,968 28.1% 57.4% 14.5%
21 FN P90 8,491 28.1% 56.3% 15.6%
22 Steyr Scout 12,102 26.5% 64.7% 8.8%
23 Desert Eagle .50AE 14,327 26.4% 61.0% 12.6%
24 Colt M4A1 Carbine 43,860 28.2% 58.5% 13.3%
25 Kalashnikov AK-47 66,315 27.2% 59.0% 13.8%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 336762 * 100, 2) AS kpercent,
			ROUND(headshots / 126303 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc