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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 70.93%
Members: 29 active members (75 total)
Avg. Member Points: 11,755
Total Kills: 350,095
Total Deaths: 301,511
Avg. Kills: 12,072
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 14:25:17h
Avg. Connection Time: 13d 12:05:00h
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 33,577 47d 00:25:35h 69,203 19.77% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.12% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.50% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.04% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31
9  Russian federationИлья190RUS elorank 13,040 3d 22:16:34h 4,105 1.17% 3,570 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.01% 15,207 1.15
12  Russian federationShalfeYka elorank 11,192 2d 13:32:28h 2,258 0.64% 2,271 0.99
13  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
15  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.83% 2,272 1.28
16  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,503 3d 16:08:22h 3,532 1.01% 3,677 0.96
17  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.71% 15,929 1.48
18  Russian federationStanislav752 elorank 10,278 16d 14:38:39h 13,548 3.87% 13,209 1.03
19  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
20  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 5.75% 22,358 0.90


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) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 57 times 0
7 Domination (4 kills) 398 times 1,194
8 Defuse the Bomb 478 times 4,780
9 Start Defusing the Bomb With a Defuse Kit 649 times 0
10 Revenge 1,581 times 4,743
11 Triple Kill (3 kills) 2,353 times 4,706
12 Domination 3,065 times 15,325
13 Plant the Bomb 4,211 times 42,110
14 Double Kill (2 kills) 10,044 times 10,044
15 Drop the Bomb 12,136 times -24272
16 Round MVP 15,847 times 0
17 Pick up the Bomb 21,461 times 42,922
18 Headshot 24,694 times 24,694




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,799 times -5397
2 Domination 2,524 times -12620




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,926 times 27.83%
2 Counter-Terrorist 2,290 times 21.78%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,134 4.89% 8,778 6.60% 0.51
2 Colt M4A1 Carbine 1.00 10,974 3.13% 5,016 3.77% 0.46
3 Desert Eagle .50AE 1.20 6,236 1.78% 3,500 2.63% 0.56
4 Steyr Scout 1.10 5,713 1.63% 3,597 2.71% 0.63
5 High Explosive Grenade 1.80 2,340 0.67% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
7 M249 PARA Light Machine Gun 1.20 2,205 0.63% 1,054 0.79% 0.48
8 FN P90 1.20 1,673 0.48% 736 0.55% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,585 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,300 0.37% 557 0.42% 0.43
11 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
12 Benelli M3 Super 90 Combat 1.20 555 0.16% 239 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.08% 0.47
14 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
15 Galil 1.10 113 0.03% 47 0.04% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
18 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
19 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
20 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
21 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
22 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
23 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
24 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
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-47 553,612 61,613 2,409,941 8,770 17,123 8.8858 11.1% 39.1 32.3
2 Colt M4A1 Carbine 378,289 48,363 1,540,955 5,013 10,971 11.4639 12.8% 31.9 34.5
3 Desert Eagle .50AE 68,081 17,438 904,559 3,497 6,232 4.2051 25.6% 51.9 10.9
4 Steyr Scout 46,587 13,848 1,311,287 3,590 5,707 2.3162 29.7% 94.7 8.2
5 Arctic Warfare Magnum (Police) 9,257 3,195 428,227 372 2,209 4.9308 34.5% 134.0 4.2
6 M249 PARA Light Machine Gun 115,193 8,354 309,754 1,055 2,206 12.6782 7.3% 37.1 52.2
7 FN P90 81,452 9,448 220,893 736 1,673 10.9346 11.6% 23.4 48.7
8 Sig Sauer P-228 35,150 5,546 170,027 557 1,300 21.3115 15.8% 30.7 27.0
9 Sig Sauer SG-552 Commando 63,533 4,289 123,679 371 856 37.2174 6.8% 28.8 74.2
10 Benelli M3 Super 90 Combat 2,628 5,234 75,125 239 555 1.9474 199.2% 14.4 4.7
11 Bundeswehr Advanced Combat Knife 11,338 1,077 56,634 2 375 1.7045 9.5% 52.6 30.2
12 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
13 H&K USP .45 Tactical 4,898 911 18,557 66 127 9.7692 18.6% 20.4 38.6
14 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
15 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
16 Glock 18 Select Fire 4,988 841 14,361 43 93 6.2000 16.9% 17.1 53.6
17 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
18 Steyr Aug 2,726 364 10,917 34 68 8.5000 13.4% 30.0 40.1
19 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
20 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
21 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
22 Fusil Automatique 1,161 192 6,104 19 41 41.0000 16.5% 31.8 28.3
23 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 61,613 27.3% 58.7% 14.0%
2 Colt M4A1 Carbine 48,363 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 17,438 26.5% 61.4% 12.1%
4 Steyr Scout 13,823 26.5% 64.7% 8.8%
5 FN P90 9,448 28.1% 56.2% 15.8%
6 M249 PARA Light Machine Gun 8,354 28.4% 56.5% 15.0%
7 Sig Sauer P-228 5,546 28.8% 57.6% 13.6%
8 Benelli M3 Super 90 Combat 5,234 30.0% 57.0% 12.9%
9 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
10 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
11 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
12 H&K MP5-Navy 915 28.3% 57.0% 14.6%
13 H&K USP .45 Tactical 911 25.1% 61.8% 13.1%
14 Glock 18 Select Fire 841 26.8% 61.7% 11.5%
15 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
16 Ingram MAC-10 478 25.5% 60.5% 14.0%
17 Galil 461 28.9% 56.4% 14.8%
18 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
19 Steyr Aug 364 28.0% 55.8% 16.2%
20 FN Five-Seven 335 23.6% 62.7% 13.7%
21 H&K UMP45 260 25.0% 54.2% 20.8%
22 Fusil Automatique 192 23.4% 62.5% 14.1%
23 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 350095 * 100, 2) AS kpercent,
			ROUND(headshots / 132914 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc