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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.36%
Members: 30 active members (73 total)
Avg. Member Points: 11,385
Total Kills: 363,026
Total Deaths: 294,874
Avg. Kills: 12,101
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 389d 16:58:39h
Avg. Connection Time: 12d 23:45:57h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federationILYA MYAU elorank 1,038 0d 00:16:59h 9 0.00% 11 0.82
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.38% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.63% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:51h 480 0.13% 471 1.02
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
7  Russian federationYota >ヮ< elorank 7,552 1d 16:43:47h 926 0.26% 1,265 0.73
8  Russian federationBISON elorank 7,929 7d 00:53:17h 4,634 1.28% 7,046 0.66
9  Russian federationSprut elorank 8,442 1d 23:17:18h 1,568 0.43% 2,047 0.77
10  Russian federationShalfeYka elorank 9,008 1d 11:53:45h 1,293 0.36% 1,316 0.98
11  Russian federation⇜Ṧ†êrvå⇝ elorank 9,032 6d 00:38:01h 4,375 1.21% 5,718 0.77
12  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89
13  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.49% 22,106 0.90
14  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.17% 10,922 1.05
15  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.22% 4,998 0.89
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.84% 3,201 0.96
17  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.48% 15,929 1.48
18  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.82% 13,411 1.03
19  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.95% 2,995 1.15
20  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.83% 15,181 1.15


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,911 times 5,822
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 58 times 0
4 Start Defusing the Bomb With a Defuse Kit 703 times 0
5 Round MVP 17,942 times 0
6 Revenge 1,722 times 5,166
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 60 times 240
9 Plant the Bomb 5,771 times 57,710
10 Pick up the Bomb 25,511 times 51,022
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 29,320 times 29,320
14 Drop the Bomb 13,656 times -27312
15 Double Kill (2 kills) 11,317 times 11,317
16 Domination (4 kills) 526 times 1,578
17 Domination 3,674 times 18,370
18 Defuse the Bomb 489 times 4,890




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,791 times -13955
2 Revenge 2,162 times -6486




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,342 times 28.74%
2 Counter-Terrorist 2,355 times 20.25%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,243 6.40% 11,537 8.53% 0.50
2 Colt M4A1 Carbine 1.00 11,751 3.24% 5,194 3.84% 0.44
3 Steyr Scout 1.10 6,205 1.71% 3,666 2.71% 0.59
4 Desert Eagle .50AE 1.20 5,700 1.57% 2,946 2.18% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,992 0.82% 478 0.35% 0.16
6 High Explosive Grenade 1.80 2,477 0.68% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,189 0.60% 1,127 0.83% 0.51
8 FN P90 1.20 1,622 0.45% 694 0.51% 0.43
9 Bundeswehr Advanced Combat Knife 2.00 1,504 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,154 0.32% 460 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,049 0.29% 469 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 834 0.23% 327 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 H&K USP .45 Tactical 1.40 145 0.04% 72 0.05% 0.50
15 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
16 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
17 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
18 Galil 1.10 95 0.03% 41 0.03% 0.43
19 Steyr Aug 1.00 82 0.02% 38 0.03% 0.46
20 Steyr Tactical Machine Pistol 1.50 81 0.02% 42 0.03% 0.52
21 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
22 FN Five-Seven 1.50 51 0.01% 25 0.02% 0.49
23 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
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-47 672,477 85,732 3,436,280 12,856 24,910 9.7955 12.7% 40.1 27.0
2 Colt M4A1 Carbine 419,137 52,040 1,645,839 5,202 11,762 11.0338 12.4% 31.6 35.6
3 Steyr Scout 48,278 15,230 1,459,018 3,719 6,297 2.6626 31.5% 95.8 7.7
4 Desert Eagle .50AE 62,494 16,627 872,062 3,272 6,082 4.4201 26.6% 52.4 10.3
5 Arctic Warfare Magnum (Police) 12,300 4,269 574,088 485 3,000 5.4945 34.7% 134.5 4.1
6 M249 PARA Light Machine Gun 104,877 8,406 330,351 1,241 2,338 14.7975 8.0% 39.3 44.9
7 FN P90 79,247 9,165 212,617 694 1,622 9.7126 11.6% 23.2 48.9
8 Sig Sauer P-228 28,792 4,729 145,532 460 1,154 23.5510 16.4% 30.8 24.9
9 Sig Sauer SG-552 Commando 76,556 5,312 155,225 482 1,065 42.6000 6.9% 29.2 71.9
10 Benelli M3 Super 90 Combat 3,711 7,518 107,445 327 834 2.3626 202.6% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 19,553 1,414 74,071 2 493 1.8059 7.2% 52.4 39.7
12 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
13 H&K USP .45 Tactical 5,305 959 20,101 71 144 7.2000 18.1% 21.0 36.8
14 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
15 Glock 18 Select Fire 5,157 956 16,352 49 108 7.2000 18.5% 17.1 47.8
16 H&K MP5-Navy 4,840 858 14,211 41 98 9.8000 17.7% 16.6 49.4
17 Galil 2,963 391 12,802 41 95 47.5000 13.2% 32.7 31.2
18 Steyr Aug 2,939 412 12,442 38 82 16.4000 14.0% 30.2 35.8
19 Steyr Tactical Machine Pistol 4,068 635 11,490 42 81 81.0000 15.6% 18.1 50.2
20 Benelli/H&K M4 Super 90 XM1014 1,425 960 11,221 27 77 12.8333 67.4% 11.7 18.5
21 FN Five-Seven 1,232 326 8,382 34 63 21.0000 26.5% 25.7 19.6
22 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
23 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
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 85,732 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 52,040 27.8% 59.0% 13.2%
3 Desert Eagle .50AE 16,627 26.1% 61.4% 12.5%
4 Steyr Scout 15,205 26.5% 65.0% 8.5%
5 FN P90 9,165 28.4% 56.1% 15.5%
6 M249 PARA Light Machine Gun 8,406 27.4% 58.9% 13.6%
7 Benelli M3 Super 90 Combat 7,518 29.1% 57.8% 13.1%
8 Sig Sauer SG-552 Commando 5,312 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,269 32.2% 58.4% 9.4%
11 Benelli/H&K M4 Super 90 XM1014 960 27.1% 55.9% 17.0%
12 H&K USP .45 Tactical 959 25.2% 61.6% 13.1%
13 Glock 18 Select Fire 956 25.9% 61.3% 12.8%
14 Ingram MAC-10 908 26.7% 59.0% 14.3%
15 H&K MP5-Navy 858 30.0% 55.8% 14.2%
16 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
17 Steyr Tactical Machine Pistol 635 24.9% 65.0% 10.1%
18 Steyr Aug 412 27.7% 55.8% 16.5%
19 Galil 391 29.7% 53.7% 16.6%
20 FN Five-Seven 326 21.2% 65.0% 13.8%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 152 22.4% 61.2% 16.4%
23 Bundeswehr Advanced Combat Knife 63 17.5% 76.2% 6.3%
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 / 363026 * 100, 2) AS kpercent,
			ROUND(headshots / 135256 * 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