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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.18%
Members: 33 active members (74 total)
Avg. Member Points: 11,115
Total Kills: 372,444
Total Deaths: 302,334
Avg. Kills: 11,286
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 398d 04:38:12h
Avg. Connection Time: 12d 01:35:42h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.40% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.89% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.69% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.74% 16,883 1.93
5  Ukrainegusenica elorank 14,861 6d 10:31:50h 6,526 1.75% 5,128 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.16% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.10% 10,412 1.11
8  Russian federationубивашка 62 elorank 13,140 3d 10:59:38h 4,007 1.08% 2,921 1.37
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.27% 38,533 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
12  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.70% 15,181 1.15
13  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.93% 2,995 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.72% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.31% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.82% 3,201 0.96
17  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.19% 4,998 0.89
18  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.09% 10,922 1.05
19  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.35% 22,106 0.90
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.34% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,881 times 58,810
2 Pick up the Bomb 26,051 times 52,102
3 Headshot 31,467 times 31,467
4 Domination 3,924 times 19,620
5 Double Kill (2 kills) 12,164 times 12,164
6 Triple Kill (3 kills) 3,123 times 6,246
7 Defuse the Bomb 566 times 5,660
8 Revenge 1,796 times 5,388
9 Domination (4 kills) 564 times 1,692
10 Rampage (5 kills) 64 times 256
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 76 times 0
15 Start Defusing the Bomb With a Defuse Kit 774 times 0
16 Round MVP 19,139 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 13,907 times -27814




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,924 times -14620
2 Revenge 2,304 times -6912




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,478 times 28.23%
2 Counter-Terrorist 2,593 times 21.05%




  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 37 0.01% 17 0.01% 0.46
3 H&K UMP45 1.20 37 0.01% 16 0.01% 0.43
4 FN Five-Seven 1.50 52 0.01% 25 0.02% 0.48
5 Galil 1.10 72 0.02% 28 0.02% 0.39
6 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
7 Steyr Tactical Machine Pistol 1.50 84 0.02% 43 0.03% 0.51
8 Steyr Aug 1.00 98 0.03% 46 0.03% 0.47
9 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
10 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
11 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
12 H&K USP .45 Tactical 1.40 149 0.04% 73 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 174 0.05% 81 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 858 0.23% 340 0.24% 0.40
15 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 475 0.34% 0.45
16 Sig Sauer P-228 1.50 1,154 0.31% 460 0.33% 0.40
17 FN P90 1.20 1,600 0.43% 690 0.49% 0.43
18 Bundeswehr Advanced Combat Knife 2.00 1,671 0.45% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,239 0.60% 1,147 0.82% 0.51
20 High Explosive Grenade 1.80 2,735 0.73% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 3,202 0.86% 530 0.38% 0.17
22 Desert Eagle .50AE 1.20 6,458 1.73% 3,449 2.47% 0.53
23 Steyr Scout 1.10 6,600 1.77% 3,981 2.85% 0.60
24 Colt M4A1 Carbine 1.00 12,970 3.48% 5,826 4.17% 0.45
25 Kalashnikov AK-47 1.00 24,277 6.52% 12,153 8.69% 0.50




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills 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 936 176 5,427 16 35 35.0000 18.8% 30.8 26.7
4 H&K UMP45 2,103 284 5,663 16 36 18.0000 13.5% 19.9 58.4
5 Galil 2,636 320 9,881 28 72 72.0000 12.1% 30.9 36.6
6 FN Five-Seven 1,285 336 8,563 34 64 21.3333 26.1% 25.5 20.1
7 Steyr Aug 3,412 499 14,871 46 98 12.2500 14.6% 29.8 34.8
8 Steyr Tactical Machine Pistol 4,517 667 11,948 43 84 84.0000 14.8% 17.9 53.8
9 Dual Beretta 96G Elite 4,405 848 23,987 81 174 58.0000 19.3% 28.3 25.3
10 H&K MP5-Navy 5,003 888 14,709 43 100 10.0000 17.7% 16.6 50.0
11 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
12 Glock 18 Select Fire 5,240 959 16,496 49 108 7.2000 18.3% 17.2 48.5
13 Benelli/H&K M4 Super 90 XM1014 1,448 974 11,415 28 79 13.1667 67.3% 11.7 18.3
14 H&K USP .45 Tactical 5,644 1,035 21,302 72 148 7.4000 18.3% 20.6 38.1
15 Bundeswehr Advanced Combat Knife 19,678 1,456 76,607 2 509 1.8375 7.4% 52.6 38.7
16 Arctic Warfare Magnum (Police) 12,961 4,559 618,935 537 3,210 5.3769 35.2% 135.8 4.0
17 Sig Sauer P-228 28,807 4,732 145,604 460 1,154 23.5510 16.4% 30.8 25.0
18 Sig Sauer SG-552 Commando 76,952 5,412 158,225 488 1,083 38.6786 7.0% 29.2 71.1
19 Benelli M3 Super 90 Combat 3,826 7,757 110,854 340 858 2.3833 202.7% 14.3 4.5
20 M249 PARA Light Machine Gun 106,750 8,610 337,017 1,261 2,388 15.3077 8.1% 39.1 44.7
21 FN P90 78,386 9,050 209,855 690 1,600 10.0000 11.5% 23.2 49.0
22 Steyr Scout 50,981 16,215 1,554,737 4,030 6,688 2.6197 31.8% 95.9 7.6
23 Desert Eagle .50AE 70,420 18,754 986,473 3,773 6,838 4.5648 26.6% 52.6 10.3
24 Colt M4A1 Carbine 446,411 57,016 1,812,081 5,830 12,974 11.0511 12.8% 31.8 34.4
25 Kalashnikov AK-47 692,744 89,243 3,582,266 13,470 25,941 9.4710 12.9% 40.1 26.7




  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 65 16.9% 76.9% 6.2%
4 Fusil Automatique 176 21.6% 62.5% 15.9%
5 H&K UMP45 284 26.1% 54.2% 19.7%
6 Galil 320 30.0% 51.9% 18.1%
7 FN Five-Seven 336 21.7% 64.9% 13.4%
8 Steyr Aug 499 27.9% 56.5% 15.6%
9 Steyr Tactical Machine Pistol 667 24.7% 64.6% 10.6%
10 Dual Beretta 96G Elite 848 24.8% 61.4% 13.8%
11 H&K MP5-Navy 888 29.2% 56.1% 14.8%
12 Ingram MAC-10 908 26.7% 59.0% 14.3%
13 Glock 18 Select Fire 959 26.0% 61.5% 12.5%
14 Benelli/H&K M4 Super 90 XM1014 974 27.0% 56.2% 16.8%
15 H&K USP .45 Tactical 1,035 25.6% 61.9% 12.5%
16 Arctic Warfare Magnum (Police) 4,559 32.2% 58.4% 9.5%
17 Sig Sauer P-228 4,732 29.2% 57.0% 13.8%
18 Sig Sauer SG-552 Commando 5,412 28.5% 56.3% 15.2%
19 Benelli M3 Super 90 Combat 7,757 29.1% 57.9% 13.0%
20 M249 PARA Light Machine Gun 8,610 27.4% 58.9% 13.7%
21 FN P90 9,050 28.5% 56.1% 15.5%
22 Steyr Scout 16,190 26.4% 65.1% 8.5%
23 Desert Eagle .50AE 18,754 25.8% 62.0% 12.2%
24 Colt M4A1 Carbine 57,016 27.6% 59.4% 13.0%
25 Kalashnikov AK-47 89,243 26.8% 59.8% 13.4%


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 / 372444 * 100, 2) AS kpercent,
			ROUND(headshots / 139806 * 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