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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.33%
Members: 30 active members (73 total)
Avg. Member Points: 11,363
Total Kills: 362,905
Total Deaths: 294,793
Avg. Kills: 12,097
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 389d 13:50:59h
Avg. Connection Time: 12d 23:39:41h
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 18.88% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.97% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.87% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.97% 16,883 1.93
5  Ukrainegusenica elorank 15,003 6d 11:21:13h 6,567 1.81% 5,163 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.30% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.56% 38,533 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
11  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.83% 15,181 1.15
12  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.95% 2,995 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.82% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.48% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.84% 3,201 0.96
16  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.22% 4,998 0.89
17  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.17% 10,922 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.49% 22,106 0.90
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,025 6d 00:35:54h 4,374 1.21% 5,717 0.77


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 Start Defusing the Bomb Without a Defuse Kit 58 times 0
6 Rampage (5 kills) 60 times 240
7 Defuse the Bomb 489 times 4,890
8 Domination (4 kills) 525 times 1,575
9 Start Defusing the Bomb With a Defuse Kit 703 times 0
10 Revenge 1,721 times 5,163
11 Triple Kill (3 kills) 2,906 times 5,812
12 Domination 3,665 times 18,325
13 Plant the Bomb 5,750 times 57,500
14 Double Kill (2 kills) 11,289 times 11,289
15 Drop the Bomb 13,621 times -27242
16 Round MVP 17,901 times 0
17 Pick up the Bomb 25,440 times 50,880
18 Headshot 29,263 times 29,263




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,788 times -13940
2 Revenge 2,157 times -6471




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,334 times 28.74%
2 Counter-Terrorist 2,351 times 20.27%




  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 30 0.01% 12 0.01% 0.40
3 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
4 FN Five-Seven 1.50 51 0.01% 25 0.02% 0.49
5 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
6 Steyr Tactical Machine Pistol 1.50 81 0.02% 42 0.03% 0.52
7 Steyr Aug 1.00 82 0.02% 38 0.03% 0.46
8 Galil 1.10 82 0.02% 34 0.03% 0.41
9 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
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 1.40 145 0.04% 72 0.05% 0.50
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 833 0.23% 327 0.24% 0.39
15 Sig Sauer SG-552 Commando 1.00 1,049 0.29% 469 0.35% 0.45
16 Sig Sauer P-228 1.50 1,154 0.32% 460 0.34% 0.40
17 Bundeswehr Advanced Combat Knife 2.00 1,502 0.41% 2 0.00% 0.00
18 FN P90 1.20 1,598 0.44% 685 0.51% 0.43
19 M249 PARA Light Machine Gun 1.20 2,174 0.60% 1,120 0.83% 0.52
20 High Explosive Grenade 1.80 2,468 0.68% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 2,992 0.82% 478 0.35% 0.16
22 Desert Eagle .50AE 1.20 5,687 1.57% 2,939 2.17% 0.52
23 Steyr Scout 1.10 6,198 1.71% 3,663 2.71% 0.59
24 Colt M4A1 Carbine 1.00 11,739 3.23% 5,190 3.84% 0.44
25 Kalashnikov AK-47 1.00 23,218 6.40% 11,517 8.52% 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 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
4 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
5 FN Five-Seven 1,232 326 8,382 34 63 21.0000 26.5% 25.7 19.6
6 Galil 2,771 350 11,077 34 82 41.0000 12.6% 31.6 33.8
7 Steyr Aug 2,939 412 12,442 38 82 16.4000 14.0% 30.2 35.8
8 Steyr Tactical Machine Pistol 4,068 635 11,490 42 81 81.0000 15.6% 18.1 50.2
9 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
10 H&K MP5-Navy 4,840 858 14,211 41 98 9.8000 17.7% 16.6 49.4
11 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
12 Glock 18 Select Fire 5,145 952 16,296 49 108 7.2000 18.5% 17.1 47.6
13 H&K USP .45 Tactical 5,305 959 20,101 71 144 7.2000 18.1% 21.0 36.8
14 Benelli/H&K M4 Super 90 XM1014 1,425 960 11,221 27 77 12.8333 67.4% 11.7 18.5
15 Bundeswehr Advanced Combat Knife 19,503 1,412 73,951 2 492 1.8022 7.2% 52.4 39.6
16 Arctic Warfare Magnum (Police) 12,300 4,269 574,088 485 3,000 5.4945 34.7% 134.5 4.1
17 Sig Sauer P-228 28,792 4,729 145,532 460 1,154 23.5510 16.4% 30.8 24.9
18 Sig Sauer SG-552 Commando 76,556 5,312 155,225 482 1,065 42.6000 6.9% 29.2 71.9
19 Benelli M3 Super 90 Combat 3,710 7,510 107,333 327 833 2.3598 202.4% 14.3 4.5
20 M249 PARA Light Machine Gun 104,496 8,358 328,296 1,234 2,323 15.0844 8.0% 39.3 45.0
21 FN P90 78,385 9,044 209,577 685 1,598 9.9255 11.5% 23.2 49.1
22 Steyr Scout 48,212 15,213 1,457,817 3,716 6,290 2.6641 31.6% 95.8 7.7
23 Desert Eagle .50AE 62,360 16,593 870,413 3,265 6,069 4.4106 26.6% 52.5 10.3
24 Colt M4A1 Carbine 418,760 51,992 1,644,307 5,198 11,750 11.0225 12.4% 31.6 35.6
25 Kalashnikov AK-47 672,039 85,664 3,432,682 12,836 24,885 9.7857 12.7% 40.1 27.0




  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 63 17.5% 76.2% 6.3%
4 Fusil Automatique 152 22.4% 61.2% 16.4%
5 H&K UMP45 279 26.2% 53.8% 20.1%
6 FN Five-Seven 326 21.2% 65.0% 13.8%
7 Galil 350 29.1% 53.7% 17.1%
8 Steyr Aug 412 27.7% 55.8% 16.5%
9 Steyr Tactical Machine Pistol 635 24.9% 65.0% 10.1%
10 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
11 H&K MP5-Navy 858 30.0% 55.8% 14.2%
12 Ingram MAC-10 908 26.7% 59.0% 14.3%
13 Glock 18 Select Fire 952 25.9% 61.4% 12.6%
14 H&K USP .45 Tactical 959 25.2% 61.6% 13.1%
15 Benelli/H&K M4 Super 90 XM1014 960 27.1% 55.9% 17.0%
16 Arctic Warfare Magnum (Police) 4,269 32.2% 58.4% 9.4%
17 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
18 Sig Sauer SG-552 Commando 5,312 28.6% 56.2% 15.2%
19 Benelli M3 Super 90 Combat 7,510 29.1% 57.7% 13.1%
20 M249 PARA Light Machine Gun 8,358 27.4% 58.9% 13.7%
21 FN P90 9,044 28.5% 56.0% 15.5%
22 Steyr Scout 15,188 26.5% 65.0% 8.5%
23 Desert Eagle .50AE 16,593 26.1% 61.4% 12.5%
24 Colt M4A1 Carbine 51,992 27.8% 59.0% 13.2%
25 Kalashnikov AK-47 85,664 26.8% 59.7% 13.5%


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 / 362905 * 100, 2) AS kpercent,
			ROUND(headshots / 135199 * 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