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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 sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,844 46d 17:13:18h 68,741 18.89% 31,298 2.20
2  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.94% 16,883 1.93
3  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.53% 38,555 1.09
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.29% 12,180 1.58
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.46% 15,929 1.48
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.82% 15,207 1.15
7  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.85% 24,192 1.03
8  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.48% 22,106 0.90
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.44% 18,072 0.89
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  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.96% 5,572 1.93
14  Russian federationубивашка 62 elorank 15,372 4d 05:25:33h 4,940 1.36% 3,516 1.41
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,159 6d 06:45:09h 4,562 1.25% 5,949 0.77
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.62% 7,910 0.75
17  Russian federationBISON elorank 8,635 7d 07:52:06h 4,818 1.32% 7,325 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.37% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,472 3d 12:46:10h 3,719 1.02% 3,192 1.17


Page: 1 2




  Player Actions *

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




  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 sort-descending.gif Damage Headshots Kills 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 FN P90 74,518 8,399 195,806 648 1,463 9.6250 11.3% 23.3 50.9
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 Benelli M3 Super 90 Combat 3,691 7,467 106,933 334 833 2.3800 202.3% 14.3 4.4
8 Sig Sauer SG-552 Commando 76,760 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
9 Sig Sauer P-228 31,442 5,151 159,374 512 1,255 22.4107 16.4% 30.9 25.1
10 Arctic Warfare Magnum (Police) 12,331 4,295 580,112 501 3,021 5.3280 34.8% 135.1 4.1
11 Bundeswehr Advanced Combat Knife 21,935 1,342 69,919 2 467 1.6679 6.1% 52.1 47.0
12 H&K USP .45 Tactical 5,854 1,054 21,671 73 150 7.8947 18.0% 20.6 39.0
13 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
14 Glock 18 Select Fire 5,554 1,001 17,128 52 111 7.4000 18.0% 17.1 50.0
15 Dual Beretta 96G Elite 4,874 941 26,476 91 192 64.0000 19.3% 28.1 25.4
16 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
17 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
18 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
19 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
20 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
21 FN Five-Seven 1,394 381 10,110 37 70 35.0000 27.3% 26.5 19.9
22 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
23 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
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