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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-descending.gif Points Bonus
1 Headshot 30,591 times 30,591
2 Pick up the Bomb 25,443 times 50,886
3 Round MVP 18,685 times 0
4 Drop the Bomb 13,907 times -27814
5 Double Kill (2 kills) 11,733 times 11,733
6 Plant the Bomb 5,576 times 55,760
7 Domination 3,671 times 18,355
8 Triple Kill (3 kills) 2,895 times 5,790
9 Revenge 1,797 times 5,391
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 2,910 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 sort-descending.gif Kills 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 Steyr Scout 54,362 16,311 1,560,932 4,102 6,753 2.5657 30.0% 95.7 8.1
4 Desert Eagle .50AE 75,357 19,861 1,041,608 4,037 7,212 4.5302 26.4% 52.4 10.4
5 M249 PARA Light Machine Gun 108,761 8,177 313,185 1,147 2,223 13.7222 7.5% 38.3 48.9
6 FN P90 74,503 8,379 195,425 647 1,462 9.8784 11.2% 23.3 51.0
7 Sig Sauer P-228 32,063 5,213 162,032 528 1,277 22.8036 16.3% 31.1 25.1
8 Arctic Warfare Magnum (Police) 11,966 4,166 560,656 482 2,917 5.2653 34.8% 134.6 4.1
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 Dual Beretta 96G Elite 5,051 981 27,243 94 197 65.6667 19.4% 27.8 25.6
12 H&K USP .45 Tactical 5,720 1,021 21,270 74 149 9.9333 17.8% 20.8 38.4
13 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
14 Glock 18 Select Fire 5,521 992 17,098 52 110 7.3333 18.0% 17.2 50.2
15 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
16 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
17 Steyr Aug 3,167 455 13,635 42 88 11.0000 14.4% 30.0 36.0
18 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
19 Steyr Tactical Machine Pistol 4,193 514 9,241 33 61 61.0000 12.3% 18.0 68.7
20 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
21 Fusil Automatique 1,131 211 6,476 20 43 43.0000 18.7% 30.7 26.3
22 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
23 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
24 Bundeswehr Advanced Combat Knife 21,702 1,303 67,707 2 451 1.5993 6.0% 52.0 48.1
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