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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.29%
Members: 31 active members (75 total)
Avg. Member Points: 11,360
Total Kills: 374,253
Total Deaths: 311,463
Avg. Kills: 12,073
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 23:55:15h
Avg. Connection Time: 13d 03:52:06h
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 34,014 46d 19:33:15h 68,912 18.41% 31,355 2.20
2  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.23% 38,583 1.09
3  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.69% 16,883 1.93
4  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.66% 24,192 1.03
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.28% 15,929 1.48
6  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.33% 22,106 0.90
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.32% 18,072 0.89
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
11  Russian federationStanislav752 elorank 11,000 14d 23:36:41h 12,415 3.32% 11,764 1.06
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.88% 5,572 1.93
14  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 7,910 0.75
16  Russian federationубивашка 62 elorank 15,213 4d 08:15:45h 5,085 1.36% 3,602 1.41
17  Russian federationBISON elorank 9,604 7d 15:47:27h 5,060 1.35% 7,620 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.34% 11,872 0.42
19  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 09:45:45h 4,669 1.25% 6,069 0.77
20  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,478 times 30,478
2 Pick up the Bomb 25,359 times 50,718
3 Round MVP 18,588 times 0
4 Drop the Bomb 13,891 times -27782
5 Double Kill (2 kills) 11,682 times 11,682
6 Plant the Bomb 5,533 times 55,330
7 Domination 3,656 times 18,280
8 Triple Kill (3 kills) 2,885 times 5,770
9 Revenge 1,793 times 5,379
10 Start Defusing the Bomb With a Defuse Kit 748 times 0
11 Defuse the Bomb 546 times 5,460
12 Domination (4 kills) 520 times 1,560
13 Start Defusing the Bomb Without a Defuse Kit 74 times 0
14 Rampage (5 kills) 54 times 216
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 sort-descending.gif Points Bonus
1 Domination 2,906 times -14530
2 Revenge 2,170 times -6510




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,438 times 28.12%
2 Counter-Terrorist 2,596 times 21.23%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,680 0.45% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,744 0.73% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 61 0.02% 33 0.02% 0.54
4 Sig Sauer P-228 1.50 1,266 0.34% 522 0.37% 0.41
5 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
6 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
7 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
8 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
9 Dual Beretta 96G Elite 1.40 197 0.05% 94 0.07% 0.48
10 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
11 FN P90 1.20 1,453 0.39% 645 0.46% 0.44
12 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
13 Benelli M3 Super 90 Combat 1.20 819 0.22% 324 0.23% 0.40
14 M249 PARA Light Machine Gun 1.20 2,064 0.55% 1,025 0.73% 0.50
15 Desert Eagle .50AE 1.20 6,801 1.82% 3,702 2.65% 0.54
16 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
17 Steyr Scout 1.10 6,640 1.77% 4,041 2.89% 0.61
18 Galil 1.10 125 0.03% 52 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 1,037 0.28% 459 0.33% 0.44
20 Colt M4A1 Carbine 1.00 12,439 3.32% 5,603 4.01% 0.45
21 Fusil Automatique 1.00 44 0.01% 20 0.01% 0.45
22 Arctic Warfare Magnum (Police) 1.00 2,908 0.78% 475 0.34% 0.16
23 Steyr Aug 1.00 88 0.02% 42 0.03% 0.48
24 Kalashnikov AK-47 1.00 22,385 5.98% 11,235 8.04% 0.50
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-47 661,071 83,041 3,327,462 12,554 24,051 9.4540 12.6% 40.1 27.5
2 Colt M4A1 Carbine 440,404 55,085 1,742,435 5,607 12,443 10.7825 12.5% 31.6 35.4
3 Desert Eagle .50AE 75,111 19,794 1,037,777 4,026 7,182 4.5227 26.4% 52.4 10.5
4 Steyr Scout 54,265 16,285 1,558,361 4,097 6,745 2.5666 30.0% 95.7 8.0
5 Arctic Warfare Magnum (Police) 11,964 4,165 560,536 482 2,916 5.2635 34.8% 134.6 4.1
6 M249 PARA Light Machine Gun 108,302 8,152 312,044 1,139 2,213 13.6605 7.5% 38.3 48.9
7 FN P90 74,369 8,324 194,309 645 1,453 9.8176 11.2% 23.3 51.2
8 Sig Sauer P-228 31,981 5,166 160,317 522 1,266 22.6071 16.2% 31.0 25.3
9 Sig Sauer SG-552 Commando 76,024 5,280 153,777 472 1,053 37.6071 6.9% 29.1 72.2
10 Benelli M3 Super 90 Combat 3,660 7,418 105,127 324 819 2.4018 202.7% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 21,698 1,301 67,576 2 449 1.5866 6.0% 51.9 48.3
12 Dual Beretta 96G Elite 5,051 981 27,243 94 197 65.6667 19.4% 27.8 25.6
13 H&K USP .45 Tactical 5,686 1,010 20,996 72 147 10.5000 17.8% 20.8 38.7
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
16 Glock 18 Select Fire 5,503 983 17,014 52 110 7.3333 17.9% 17.3 50.0
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,167 455 13,635 42 88 11.0000 14.4% 30.0 36.0
19 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
20 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
21 Steyr Tactical Machine Pistol 4,193 514 9,241 33 61 61.0000 12.3% 18.0 68.7
22 Fusil Automatique 1,120 207 6,347 19 42 42.0000 18.5% 30.7 26.7
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
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 83,041 26.7% 59.7% 13.6%
2 Colt M4A1 Carbine 55,085 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 19,794 25.8% 62.1% 12.2%
4 Steyr Scout 16,260 26.3% 65.0% 8.7%
5 FN P90 8,324 28.2% 56.2% 15.7%
6 M249 PARA Light Machine Gun 8,152 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,418 29.3% 57.5% 13.2%
8 Sig Sauer SG-552 Commando 5,280 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,166 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,165 32.5% 57.7% 9.8%
11 H&K USP .45 Tactical 1,010 24.0% 63.5% 12.6%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 983 26.2% 61.3% 12.4%
14 Dual Beretta 96G Elite 981 25.7% 60.7% 13.7%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 514 25.1% 62.8% 12.1%
19 Steyr Aug 455 28.1% 56.9% 14.9%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 207 19.8% 65.2% 15.0%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 4.8%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 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 / 374253 * 100, 2) AS kpercent,
			ROUND(headshots / 139730 * 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