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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.36%
Members: 30 active members (76 total)
Avg. Member Points: 11,710
Total Kills: 360,076
Total Deaths: 310,693
Avg. Kills: 12,003
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 19:05:08h
Avg. Connection Time: 13d 08:38:10h
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 Kills Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 11.71% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 19.22% 31,506 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 6.92% 24,192 1.03
4  Russian federationLoony elorank 9,623 30d 14:02:34h 20,094 5.58% 22,309 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.49% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.53% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.87% 15,207 1.15
8  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.57% 14,654 0.63
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.85% 13,411 1.03
10  Russian federationStanislav752 elorank 10,751 16d 12:57:17h 13,487 3.75% 13,150 1.03
11  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.35% 12,180 1.58
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.39% 11,872 0.42
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.21% 10,412 1.11
14  Russian federationslayer71 elorank 10,841 9d 15:04:09h 10,423 2.89% 9,594 1.09
15  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.66% 8,932 0.67
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.64% 7,910 0.75
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.32% 6,249 0.76
18  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.99% 5,572 1.93
19  Russian federationубивашка 62 elorank 17,450 6d 07:19:11h 7,541 2.09% 5,131 1.47
20  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.24% 5,052 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Touch a Hostage 4 times 0
3 Mega Kill (6 kills) 5 times 25
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 45 times 180
6 Start Defusing the Bomb Without a Defuse Kit 58 times 0
7 Domination (4 kills) 412 times 1,236
8 Defuse the Bomb 491 times 4,910
9 Start Defusing the Bomb With a Defuse Kit 661 times 0
10 Revenge 1,628 times 4,884
11 Triple Kill (3 kills) 2,409 times 4,818
12 Domination 3,120 times 15,600
13 Plant the Bomb 4,279 times 42,790
14 Double Kill (2 kills) 10,266 times 10,266
15 Drop the Bomb 12,263 times -24526
16 Round MVP 16,247 times 0
17 Pick up the Bomb 21,700 times 43,400
18 Headshot 25,479 times 25,479




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,826 times -5478
2 Domination 2,614 times -13070




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,361 times 21.95%
2 Terrorist 2,969 times 27.60%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,349 4.82% 8,872 6.39% 0.51
2 Colt M4A1 Carbine 1.00 10,927 3.03% 4,984 3.59% 0.46
3 Desert Eagle .50AE 1.20 6,691 1.86% 3,818 2.75% 0.57
4 Steyr Scout 1.10 6,098 1.69% 3,887 2.80% 0.64
5 High Explosive Grenade 1.80 2,380 0.66% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,347 0.65% 1,148 0.83% 0.49
7 Arctic Warfare Magnum (Police) 1.00 2,224 0.62% 375 0.27% 0.17
8 FN P90 1.20 1,646 0.46% 730 0.53% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,615 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,303 0.36% 559 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 880 0.24% 388 0.28% 0.44
12 Benelli M3 Super 90 Combat 1.20 565 0.16% 244 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.07% 0.47
14 H&K USP .45 Tactical 1.40 126 0.03% 66 0.05% 0.52
15 Galil 1.10 113 0.03% 47 0.03% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 97 0.03% 45 0.03% 0.46
18 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
19 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
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 0.01% 26 0.02% 0.48
23 Fusil Automatique 1.00 43 0.01% 20 0.01% 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 Kills per Death Accuracy Damage per Hit Shots per Kill sort-descending.gif
1 Sig Sauer SG-552 Commando 66,978 4,443 128,212 388 881 38.3043 6.6% 28.9 76.0
2 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
3 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
4 Glock 18 Select Fire 5,089 877 14,859 44 95 6.3333 17.2% 16.9 53.6
5 M249 PARA Light Machine Gun 119,039 8,882 331,534 1,149 2,348 13.3409 7.5% 37.3 50.7
6 FN P90 80,426 9,266 217,196 730 1,646 10.8289 11.5% 23.4 48.9
7 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
8 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
9 H&K USP .45 Tactical 4,858 916 18,559 65 125 9.6154 18.9% 20.3 38.9
10 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
11 Colt M4A1 Carbine 377,741 48,202 1,535,163 4,981 10,924 11.4029 12.8% 31.8 34.6
12 Kalashnikov AK-47 559,221 62,457 2,440,589 8,864 17,338 8.8234 11.2% 39.1 32.3
13 Bundeswehr Advanced Combat Knife 11,506 1,089 57,237 2 380 1.7273 9.5% 52.6 30.3
14 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
15 Sig Sauer P-228 35,210 5,548 170,164 559 1,303 21.3607 15.8% 30.7 27.0
16 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
17 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
18 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
19 Benelli/H&K M4 Super 90 XM1014 1,153 747 8,781 21 61 12.2000 64.8% 11.8 18.9
20 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
21 Desert Eagle .50AE 72,048 18,691 976,226 3,815 6,687 4.2592 25.9% 52.2 10.8
22 Steyr Scout 49,310 14,665 1,400,728 3,880 6,092 2.3172 29.7% 95.5 8.1
23 Benelli M3 Super 90 Combat 2,667 5,279 76,180 244 565 1.9618 197.9% 14.4 4.7
24 Arctic Warfare Magnum (Police) 9,335 3,210 430,661 375 2,223 4.9073 34.4% 134.2 4.2
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 62,457 27.3% 58.7% 14.0%
2 Colt M4A1 Carbine 48,202 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,691 26.2% 61.9% 11.9%
4 Steyr Scout 14,640 26.3% 65.0% 8.6%
5 FN P90 9,266 28.0% 56.3% 15.7%
6 M249 PARA Light Machine Gun 8,882 28.0% 57.1% 14.9%
7 Sig Sauer P-228 5,548 28.7% 57.6% 13.6%
8 Benelli M3 Super 90 Combat 5,279 29.9% 57.2% 12.9%
9 Sig Sauer SG-552 Commando 4,443 29.2% 55.5% 15.3%
10 Arctic Warfare Magnum (Police) 3,210 32.8% 57.3% 9.9%
11 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
12 H&K USP .45 Tactical 916 25.5% 61.5% 13.0%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 Glock 18 Select Fire 877 26.7% 61.8% 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 354 27.4% 56.2% 16.4%
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 52 25.0% 65.4% 9.6%
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 / 360076 * 100, 2) AS kpercent,
			ROUND(headshots / 138791 * 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