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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 78.76%
Members: 30 active members (73 total)
Avg. Member Points: 11,390
Total Kills: 363,788
Total Deaths: 295,616
Avg. Kills: 12,126
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 390d 13:46:54h
Avg. Connection Time: 13d 00:27:33h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills sort-descending.gif Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.84% 31,203 2.20
2  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.54% 38,555 1.09
3  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.94% 16,883 1.93
4  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.85% 24,192 1.03
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.46% 15,929 1.48
6  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.48% 22,106 0.90
7  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.28% 12,150 1.58
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.82% 15,207 1.15
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.44% 18,072 0.89
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.81% 13,411 1.03
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
12  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.18% 10,991 1.05
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.96% 5,572 1.93
14  Ukrainegusenica elorank 15,454 6d 23:23:50h 7,076 1.95% 5,536 1.28
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.63% 7,910 0.75
16  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.37% 11,872 0.42
17  Russian federationBISON elorank 7,929 7d 00:53:17h 4,634 1.27% 7,046 0.66
18  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.22% 5,009 0.89
19  Russian federation⇜Ṧ†êrvå⇝ elorank 8,971 6d 00:52:09h 4,381 1.20% 5,729 0.76
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 29,084 times 29,084
2 Pick up the Bomb 25,423 times 50,846
3 Round MVP 17,820 times 0
4 Drop the Bomb 13,672 times -27344
5 Double Kill (2 kills) 11,198 times 11,198
6 Plant the Bomb 5,744 times 57,440
7 Domination 3,621 times 18,105
8 Triple Kill (3 kills) 2,862 times 5,724
9 Revenge 1,723 times 5,169
10 Start Defusing the Bomb With a Defuse Kit 689 times 0
11 Domination (4 kills) 523 times 1,569
12 Defuse the Bomb 483 times 4,830
13 Start Defusing the Bomb Without a Defuse Kit 59 times 0
14 Rampage (5 kills) 59 times 236
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 2 times 10
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,790 times -13950
2 Revenge 2,127 times -6381




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,331 times 28.73%
2 Counter-Terrorist 2,347 times 20.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,962 6.31% 11,427 8.43% 0.50
2 Colt M4A1 Carbine 1.00 11,703 3.22% 5,153 3.80% 0.44
3 Steyr Scout 1.10 6,190 1.70% 3,640 2.68% 0.59
4 Desert Eagle .50AE 1.20 5,779 1.59% 2,997 2.21% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,912 0.80% 460 0.34% 0.16
6 High Explosive Grenade 1.80 2,476 0.68% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,074 0.57% 1,068 0.79% 0.51
8 FN P90 1.20 1,563 0.43% 664 0.49% 0.42
9 Bundeswehr Advanced Combat Knife 2.00 1,492 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,155 0.32% 462 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,043 0.29% 467 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 826 0.23% 325 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 173 0.05% 81 0.06% 0.47
14 H&K USP .45 Tactical 1.40 147 0.04% 72 0.05% 0.49
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 116 0.03% 49 0.04% 0.42
17 Glock 18 Select Fire 1.40 110 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 101 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
20 Steyr Aug 1.00 77 0.02% 36 0.03% 0.47
21 Steyr Tactical Machine Pistol 1.50 66 0.02% 36 0.03% 0.55
22 FN Five-Seven 1.50 44 0.01% 23 0.02% 0.52
23 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage sort-descending.gif Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 673,542 84,900 3,400,852 12,746 24,629 9.7271 12.6% 40.1 27.3
2 Colt M4A1 Carbine 418,110 51,818 1,637,868 5,161 11,714 11.0614 12.4% 31.6 35.7
3 Steyr Scout 48,839 15,211 1,455,266 3,693 6,282 2.6462 31.1% 95.7 7.8
4 Desert Eagle .50AE 63,145 16,843 882,788 3,323 6,162 4.4395 26.7% 52.4 10.2
5 Arctic Warfare Magnum (Police) 11,944 4,146 556,901 467 2,920 5.4784 34.7% 134.3 4.1
6 M249 PARA Light Machine Gun 102,218 8,015 314,430 1,182 2,223 14.3419 7.8% 39.2 46.0
7 FN P90 77,524 8,838 204,697 664 1,563 9.8302 11.4% 23.2 49.6
8 Sig Sauer SG-552 Commando 76,294 5,280 154,413 480 1,059 42.3600 6.9% 29.2 72.0
9 Sig Sauer P-228 28,868 4,711 145,210 462 1,155 24.0625 16.3% 30.8 25.0
10 Benelli M3 Super 90 Combat 3,676 7,464 106,332 325 826 2.3533 203.0% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 20,234 1,389 72,898 2 487 1.8037 6.9% 52.5 41.5
12 Dual Beretta 96G Elite 4,409 853 23,897 81 173 57.6667 19.3% 28.0 25.5
13 H&K USP .45 Tactical 5,322 970 20,292 71 146 7.3000 18.2% 20.9 36.5
14 Glock 18 Select Fire 5,248 963 16,374 50 108 7.2000 18.3% 17.0 48.6
15 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
16 Galil 3,284 491 16,077 49 116 58.0000 15.0% 32.7 28.3
17 H&K MP5-Navy 4,874 867 14,367 41 99 9.9000 17.8% 16.6 49.2
18 Steyr Aug 2,868 391 11,842 36 77 15.4000 13.6% 30.3 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,428 965 11,273 27 77 12.8333 67.6% 11.7 18.5
20 Steyr Tactical Machine Pistol 3,785 550 9,941 36 66 66.0000 14.5% 18.1 57.3
21 FN Five-Seven 1,123 297 7,685 32 56 18.6667 26.4% 25.9 20.1
22 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
23 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 84,900 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,818 27.8% 58.9% 13.3%
3 Desert Eagle .50AE 16,843 26.2% 61.4% 12.4%
4 Steyr Scout 15,186 26.6% 64.9% 8.5%
5 FN P90 8,838 28.6% 56.0% 15.5%
6 M249 PARA Light Machine Gun 8,015 27.5% 58.9% 13.6%
7 Benelli M3 Super 90 Combat 7,464 29.0% 57.8% 13.2%
8 Sig Sauer SG-552 Commando 5,280 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,711 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,146 32.2% 58.3% 9.5%
11 H&K USP .45 Tactical 970 25.4% 61.6% 13.0%
12 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
13 Glock 18 Select Fire 963 26.3% 61.1% 12.7%
14 Ingram MAC-10 891 26.7% 59.1% 14.1%
15 H&K MP5-Navy 867 29.6% 55.9% 14.4%
16 Dual Beretta 96G Elite 853 25.1% 61.0% 14.0%
17 Steyr Tactical Machine Pistol 550 25.8% 64.4% 9.8%
18 Galil 491 27.1% 56.6% 16.3%
19 Steyr Aug 391 28.4% 55.5% 16.1%
20 FN Five-Seven 297 20.5% 66.0% 13.5%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 152 22.4% 61.2% 16.4%
23 Bundeswehr Advanced Combat Knife 62 17.7% 75.8% 6.5%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


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 / 363788 * 100, 2) AS kpercent,
			ROUND(headshots / 135614 * 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