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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: 11,761
Total Kills: 350,132
Total Deaths: 301,548
Avg. Kills: 12,074
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 15:10:59h
Avg. Connection Time: 13d 12:06:35h
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 sort-descending.gif Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 19.76% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.04% 38,713 1.09
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.12% 24,192 1.03
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.71% 15,929 1.48
5  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 5.75% 22,358 0.90
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.50% 12,180 1.58
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.01% 15,207 1.15
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.61% 18,072 0.89
9  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
10  Russian federationStanislav752 elorank 10,278 16d 14:38:39h 13,548 3.87% 13,209 1.03
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.64% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
15  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
17  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
18  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.36% 6,249 0.76
19  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 24,708 times 24,708
2 Pick up the Bomb 21,480 times 42,960
3 Round MVP 15,871 times 0
4 Drop the Bomb 12,142 times -24284
5 Double Kill (2 kills) 10,052 times 10,052
6 Plant the Bomb 4,212 times 42,120
7 Domination 3,066 times 15,330
8 Triple Kill (3 kills) 2,353 times 4,706
9 Revenge 1,583 times 4,749
10 Start Defusing the Bomb With a Defuse Kit 649 times 0
11 Defuse the Bomb 478 times 4,780
12 Domination (4 kills) 398 times 1,194
13 Start Defusing the Bomb Without a Defuse Kit 57 times 0
14 Rampage (5 kills) 44 times 176
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 Points Bonus sort-ascending.gif
1 Domination 2,526 times -12630
2 Revenge 1,800 times -5400




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,928 times 27.83%
2 Counter-Terrorist 2,292 times 21.79%




  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 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
3 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
4 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
5 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
6 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
7 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
8 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
9 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
10 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
11 Galil 1.10 113 0.03% 47 0.04% 0.42
12 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 559 0.16% 240 0.18% 0.43
15 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
16 Sig Sauer P-228 1.50 1,302 0.37% 558 0.42% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,590 0.45% 2 0.00% 0.00
18 FN P90 1.20 1,676 0.48% 738 0.56% 0.44
19 M249 PARA Light Machine Gun 1.20 2,205 0.63% 1,054 0.79% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
21 High Explosive Grenade 1.80 2,340 0.67% 0 0.00% 0.00
22 Steyr Scout 1.10 5,717 1.63% 3,598 2.71% 0.63
23 Desert Eagle .50AE 1.20 6,241 1.78% 3,503 2.64% 0.56
24 Colt M4A1 Carbine 1.00 10,988 3.14% 5,022 3.78% 0.46
25 Kalashnikov AK-47 1.00 17,134 4.89% 8,778 6.60% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death sort-ascending.gif Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Bundeswehr Advanced Combat Knife 11,363 1,083 57,104 2 377 1.6830 9.5% 52.7 30.1
3 Benelli M3 Super 90 Combat 2,656 5,293 75,844 240 559 1.9276 199.3% 14.3 4.8
4 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
5 Steyr Scout 46,617 13,856 1,312,008 3,591 5,711 2.3168 29.7% 94.7 8.2
6 Desert Eagle .50AE 68,117 17,451 905,310 3,500 6,237 4.2000 25.6% 51.9 10.9
7 Arctic Warfare Magnum (Police) 9,257 3,195 428,227 372 2,209 4.9308 34.5% 134.0 4.2
8 Glock 18 Select Fire 4,991 841 14,361 43 93 6.2000 16.9% 17.1 53.7
9 Steyr Aug 2,726 364 10,917 34 68 8.5000 13.4% 30.0 40.1
10 Kalashnikov AK-47 553,621 61,615 2,409,994 8,770 17,123 8.8858 11.1% 39.1 32.3
11 H&K USP .45 Tactical 4,906 915 18,602 66 127 9.7692 18.7% 20.3 38.6
12 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
13 FN P90 81,499 9,465 221,272 738 1,676 10.9542 11.6% 23.4 48.6
14 Colt M4A1 Carbine 378,636 48,433 1,542,923 5,019 10,985 11.4666 12.8% 31.9 34.5
15 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
16 M249 PARA Light Machine Gun 115,193 8,354 309,754 1,055 2,206 12.6782 7.3% 37.1 52.2
17 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
18 Sig Sauer P-228 35,176 5,551 170,180 558 1,302 21.3443 15.8% 30.7 27.0
19 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
20 Sig Sauer SG-552 Commando 63,533 4,289 123,679 371 856 37.2174 6.8% 28.8 74.2
21 Fusil Automatique 1,161 192 6,104 19 41 41.0000 16.5% 31.8 28.3
22 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
23 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
24 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
25 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
5 H&K UMP45 260 25.0% 54.2% 20.8%
6 FN Five-Seven 335 23.6% 62.7% 13.7%
7 Steyr Aug 364 28.0% 55.8% 16.2%
8 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
9 Galil 461 28.9% 56.4% 14.8%
10 Ingram MAC-10 478 25.5% 60.5% 14.0%
11 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
12 Glock 18 Select Fire 841 26.8% 61.7% 11.5%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 H&K USP .45 Tactical 915 25.1% 61.7% 13.1%
15 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
16 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
17 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
18 Benelli M3 Super 90 Combat 5,293 30.1% 56.9% 13.0%
19 Sig Sauer P-228 5,551 28.8% 57.6% 13.6%
20 M249 PARA Light Machine Gun 8,354 28.4% 56.5% 15.0%
21 FN P90 9,465 28.1% 56.1% 15.8%
22 Steyr Scout 13,831 26.5% 64.7% 8.8%
23 Desert Eagle .50AE 17,451 26.5% 61.4% 12.1%
24 Colt M4A1 Carbine 48,433 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 61,615 27.3% 58.7% 14.0%


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 / 350132 * 100, 2) AS kpercent,
			ROUND(headshots / 132928 * 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