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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.03%
Members: 31 active members (75 total)
Avg. Member Points: 11,355
Total Kills: 374,197
Total Deaths: 311,424
Avg. Kills: 12,071
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 22:22:57h
Avg. Connection Time: 13d 03:49:07h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-ascending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
2  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
3  Russian federationBISON elorank 9,604 7d 15:47:27h 5,060 1.35% 7,620 0.66
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
5  Russian federationILYA MYAU elorank 1,038 0d 00:16:59h 9 0.00% 11 0.82
6  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.23% 38,583 1.09
7  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 7,910 0.75
8  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.33% 22,106 0.90
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.32% 18,072 0.89
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
12  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.42% 1,599 0.99
13  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
14  Russian federationSprut elorank 8,728 2d 01:10:55h 1,630 0.44% 2,123 0.77
15  Russian federationStanislav752 elorank 10,943 14d 22:56:18h 12,392 3.31% 11,753 1.05
16  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75
17  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89
18  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.66% 24,192 1.03
19  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
20  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08


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) 54 times 216
6 Start Defusing the Bomb Without a Defuse Kit 74 times 0
7 Domination (4 kills) 520 times 1,560
8 Defuse the Bomb 546 times 5,460
9 Start Defusing the Bomb With a Defuse Kit 748 times 0
10 Revenge 1,797 times 5,391
11 Triple Kill (3 kills) 2,895 times 5,790
12 Domination 3,671 times 18,355
13 Plant the Bomb 5,576 times 55,760
14 Double Kill (2 kills) 11,733 times 11,733
15 Drop the Bomb 13,907 times -27814
16 Round MVP 18,685 times 0
17 Pick up the Bomb 25,443 times 50,886
18 Headshot 30,591 times 30,591




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,910 times -14550
2 Revenge 2,178 times -6534




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,444 times 28.12%
2 Counter-Terrorist 2,602 times 21.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,504 6.01% 11,297 8.09% 0.50
2 Colt M4A1 Carbine 1.00 12,475 3.33% 5,618 4.02% 0.45
3 Desert Eagle .50AE 1.20 6,831 1.83% 3,713 2.66% 0.54
4 Steyr Scout 1.10 6,648 1.78% 4,046 2.90% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,909 0.78% 475 0.34% 0.16
6 High Explosive Grenade 1.80 2,755 0.74% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,074 0.55% 1,033 0.74% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,683 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,462 0.39% 647 0.46% 0.44
10 Sig Sauer P-228 1.50 1,277 0.34% 528 0.38% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,037 0.28% 459 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 822 0.22% 325 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 197 0.05% 94 0.07% 0.48
14 H&K USP .45 Tactical 1.40 150 0.04% 75 0.05% 0.50
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 88 0.02% 42 0.03% 0.48
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 61 0.02% 33 0.02% 0.54
22 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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-47 662,245 83,344 3,341,943 12,616 24,170 9.4599 12.6% 40.1 27.4
2 Colt M4A1 Carbine 441,237 55,237 1,747,462 5,622 12,479 10.7578 12.5% 31.6 35.4
3 Desert Eagle .50AE 75,357 19,861 1,041,608 4,037 7,212 4.5302 26.4% 52.4 10.4
4 Steyr Scout 54,362 16,311 1,560,932 4,102 6,753 2.5657 30.0% 95.7 8.1
5 Arctic Warfare Magnum (Police) 11,966 4,166 560,656 482 2,917 5.2653 34.8% 134.6 4.1
6 M249 PARA Light Machine Gun 108,761 8,177 313,185 1,147 2,223 13.7222 7.5% 38.3 48.9
7 FN P90 74,503 8,379 195,425 647 1,462 9.8784 11.2% 23.3 51.0
8 Sig Sauer P-228 32,063 5,213 162,032 528 1,277 22.8036 16.3% 31.1 25.1
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 3,672 7,448 105,566 325 822 2.4035 202.8% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 21,702 1,303 67,707 2 451 1.5993 6.0% 52.0 48.1
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 5,720 1,021 21,270 74 149 9.9333 17.8% 20.8 38.4
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 5,521 992 17,098 52 110 7.3333 18.0% 17.2 50.2
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 1,131 211 6,476 20 43 43.0000 18.7% 30.7 26.3
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 83,344 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 55,237 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 19,861 25.8% 62.1% 12.2%
4 Steyr Scout 16,286 26.2% 65.0% 8.7%
5 FN P90 8,379 28.1% 56.1% 15.7%
6 M249 PARA Light Machine Gun 8,177 27.9% 58.0% 14.1%
7 Benelli M3 Super 90 Combat 7,448 29.2% 57.6% 13.1%
8 Sig Sauer SG-552 Commando 5,280 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,213 29.0% 57.1% 13.9%
10 Arctic Warfare Magnum (Police) 4,166 32.5% 57.7% 9.8%
11 H&K USP .45 Tactical 1,021 24.0% 63.5% 12.5%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 992 26.1% 61.4% 12.5%
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 211 20.4% 64.5% 15.2%
23 Bundeswehr Advanced Combat Knife 64 21.9% 73.4% 4.7%
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 / 374197 * 100, 2) AS kpercent,
			ROUND(headshots / 139703 * 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