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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: 11,381
Total Kills: 363,007
Total Deaths: 294,856
Avg. Kills: 12,100
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 389d 16:09:31h
Avg. Connection Time: 12d 23:44:19h
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-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.88% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.97% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.87% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.96% 16,883 1.93
5  Ukrainegusenica elorank 15,233 6d 12:25:36h 6,621 1.82% 5,193 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.29% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.56% 38,533 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
11  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.83% 15,181 1.15
12  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.95% 2,995 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.82% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.48% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.84% 3,201 0.96
16  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.22% 4,998 0.89
17  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.17% 10,922 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.49% 22,106 0.90
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,025 6d 00:35:54h 4,374 1.20% 5,717 0.77


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 17,934 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 5,766 times 57,660
10 Pick up the Bomb 25,498 times 50,996
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 29,312 times 29,312
14 Drop the Bomb 13,650 times -27300
15 Double Kill (2 kills) 11,312 times 11,312
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 2,790 times -13950
2 Revenge 2,162 times -6486




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,340 times 28.75%
2 Counter-Terrorist 2,352 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 23,240 6.40% 11,534 8.53% 0.50
2 Colt M4A1 Carbine 1.00 11,750 3.24% 5,193 3.84% 0.44
3 Steyr Scout 1.10 6,201 1.71% 3,665 2.71% 0.59
4 Desert Eagle .50AE 1.20 5,696 1.57% 2,945 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 2,475 0.68% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,184 0.60% 1,125 0.83% 0.52
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-47 672,413 85,727 3,435,922 12,853 24,907 9.7943 12.7% 40.1 27.0
2 Colt M4A1 Carbine 419,109 52,034 1,645,632 5,201 11,761 11.0328 12.4% 31.6 35.6
3 Steyr Scout 48,242 15,220 1,458,479 3,718 6,293 2.6643 31.5% 95.8 7.7
4 Desert Eagle .50AE 62,466 16,618 871,656 3,271 6,078 4.4172 26.6% 52.5 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 104,727 8,386 329,613 1,239 2,333 14.7658 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 Left Middle Right sort-descending.gif
1 H&K UMP45 279 26.2% 53.8% 20.1%
2 Benelli/H&K M4 Super 90 XM1014 960 27.1% 55.9% 17.0%
3 Galil 391 29.7% 53.7% 16.6%
4 Steyr Aug 412 27.7% 55.8% 16.5%
5 Fusil Automatique 152 22.4% 61.2% 16.4%
6 FN P90 9,165 28.4% 56.1% 15.5%
7 Sig Sauer SG-552 Commando 5,312 28.6% 56.2% 15.2%
8 Ingram MAC-10 908 26.7% 59.0% 14.3%
9 H&K MP5-Navy 858 30.0% 55.8% 14.2%
10 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
11 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
12 FN Five-Seven 326 21.2% 65.0% 13.8%
13 M249 PARA Light Machine Gun 8,386 27.4% 58.9% 13.7%
14 Kalashnikov AK-47 85,727 26.8% 59.7% 13.5%
15 Colt M4A1 Carbine 52,034 27.8% 59.0% 13.2%
16 H&K USP .45 Tactical 959 25.2% 61.6% 13.1%
17 Benelli M3 Super 90 Combat 7,518 29.1% 57.8% 13.1%
18 Glock 18 Select Fire 956 25.9% 61.3% 12.8%
19 Desert Eagle .50AE 16,618 26.1% 61.4% 12.5%
20 Steyr Tactical Machine Pistol 635 24.9% 65.0% 10.1%
21 Arctic Warfare Magnum (Police) 4,269 32.2% 58.4% 9.4%
22 Steyr Scout 15,195 26.5% 65.0% 8.5%
23 Bundeswehr Advanced Combat Knife 63 17.5% 76.2% 6.3%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 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 / 363007 * 100, 2) AS kpercent,
			ROUND(headshots / 135248 * 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