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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 78.53%
Members: 30 active members (75 total)
Avg. Member Points: 11,544
Total Kills: 363,918
Total Deaths: 295,870
Avg. Kills: 12,131
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 390d 12:03:16h
Avg. Connection Time: 13d 00:24:06h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
1  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.53% 38,555 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,844 46d 17:13:18h 68,741 18.89% 31,298 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.85% 24,192 1.03
4  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.48% 22,106 0.90
5  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.94% 16,883 1.93
6  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.44% 18,072 0.89
7  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.46% 15,929 1.48
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.82% 15,207 1.15
9  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.29% 12,180 1.58
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
11  Russian federationStanislav752 elorank 10,350 14d 14:25:57h 12,089 3.32% 11,478 1.05
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.81% 13,411 1.03
13  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.37% 11,872 0.42
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.62% 7,910 0.75
15  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.96% 5,572 1.93
16  Russian federationBISON elorank 8,635 7d 07:52:06h 4,818 1.32% 7,325 0.66
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,159 6d 06:45:09h 4,562 1.25% 5,949 0.77
18  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.22% 5,021 0.89
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
20  Russian federationубивашка 62 elorank 15,372 4d 05:25:33h 4,940 1.36% 3,516 1.41


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) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 56 times 224
6 Start Defusing the Bomb Without a Defuse Kit 77 times 0
7 Domination (4 kills) 539 times 1,617
8 Defuse the Bomb 549 times 5,490
9 Start Defusing the Bomb With a Defuse Kit 756 times 0
10 Revenge 1,802 times 5,406
11 Triple Kill (3 kills) 2,983 times 5,966
12 Domination 3,763 times 18,815
13 Plant the Bomb 5,887 times 58,870
14 Double Kill (2 kills) 11,882 times 11,882
15 Drop the Bomb 14,164 times -28328
16 Round MVP 19,100 times 0
17 Pick up the Bomb 26,141 times 52,282
18 Headshot 31,091 times 31,091




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,921 times -14605
2 Revenge 2,220 times -6660




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,500 times 28.22%
2 Counter-Terrorist 2,613 times 21.07%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,128 6.36% 11,621 8.59% 0.50
2 Colt M4A1 Carbine 1.00 12,596 3.46% 5,664 4.19% 0.45
3 Desert Eagle .50AE 1.20 6,906 1.90% 3,756 2.78% 0.54
4 Steyr Scout 1.10 6,782 1.86% 4,096 3.03% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,013 0.83% 494 0.37% 0.16
6 High Explosive Grenade 1.80 2,775 0.76% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,076 0.57% 1,045 0.77% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,688 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,463 0.40% 648 0.48% 0.44
10 Sig Sauer P-228 1.50 1,255 0.34% 512 0.38% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 833 0.23% 334 0.25% 0.40
13 Dual Beretta 96G Elite 1.40 192 0.05% 91 0.07% 0.47
14 H&K USP .45 Tactical 1.40 151 0.04% 74 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.05% 0.50
17 Glock 18 Select Fire 1.40 113 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
22 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 676,954 85,324 3,426,746 12,939 24,793 9.5211 12.6% 40.2 27.3
2 Colt M4A1 Carbine 442,458 55,603 1,762,035 5,668 12,600 10.7417 12.6% 31.7 35.1
3 Desert Eagle .50AE 75,563 20,015 1,052,073 4,080 7,287 4.5459 26.5% 52.6 10.4
4 Steyr Scout 54,775 16,648 1,592,123 4,152 6,887 2.5998 30.4% 95.6 8.0
5 Arctic Warfare Magnum (Police) 12,331 4,295 580,112 501 3,021 5.3280 34.8% 135.1 4.1
6 M249 PARA Light Machine Gun 107,040 8,141 313,602 1,159 2,225 13.9937 7.6% 38.5 48.1
7 FN P90 74,518 8,399 195,806 648 1,463 9.6250 11.3% 23.3 50.9
8 Sig Sauer P-228 31,442 5,151 159,374 512 1,255 22.4107 16.4% 30.9 25.1
9 Sig Sauer SG-552 Commando 76,760 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
10 Benelli M3 Super 90 Combat 3,691 7,467 106,933 334 833 2.3800 202.3% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,935 1,342 69,919 2 467 1.6679 6.1% 52.1 47.0
12 Dual Beretta 96G Elite 4,874 941 26,476 91 192 64.0000 19.3% 28.1 25.4
13 H&K USP .45 Tactical 5,854 1,054 21,671 73 150 7.8947 18.0% 20.6 39.0
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
16 Glock 18 Select Fire 5,554 1,001 17,128 52 111 7.4000 18.0% 17.1 50.0
17 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
18 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
20 FN Five-Seven 1,394 381 10,110 37 70 35.0000 27.3% 26.5 19.9
21 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
22 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
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 85,324 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 55,603 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 20,015 25.8% 62.1% 12.1%
4 Steyr Scout 16,623 26.4% 65.0% 8.6%
5 FN P90 8,399 28.1% 56.2% 15.7%
6 M249 PARA Light Machine Gun 8,141 27.9% 58.2% 13.9%
7 Benelli M3 Super 90 Combat 7,467 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,393 28.6% 56.3% 15.1%
9 Sig Sauer P-228 5,151 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,295 32.5% 57.6% 9.9%
11 H&K USP .45 Tactical 1,054 24.3% 63.0% 12.7%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 1,001 26.4% 61.2% 12.4%
14 Dual Beretta 96G Elite 941 24.5% 61.5% 13.9%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 211 20.4% 64.5% 15.2%
23 Bundeswehr Advanced Combat Knife 64 23.4% 70.3% 6.3%
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 / 363918 * 100, 2) AS kpercent,
			ROUND(headshots / 135331 * 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