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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.35%
Members: 28 active members (75 total)
Avg. Member Points: 11,806
Total Kills: 326,818
Total Deaths: 285,807
Avg. Kills: 11,672
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 369d 14:47:58h
Avg. Connection Time: 13d 04:48:51h
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 33,577 47d 00:25:35h 69,203 21.17% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.30% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.63% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.36% 5,238 1.47
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.54% 10,412 1.11
6  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.89% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.90% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.31% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,888 3d 22:58:03h 4,124 1.26% 3,600 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.95% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.37% 15,207 1.15
12  Russian federationShalfeYka elorank 11,380 2d 16:48:56h 2,405 0.74% 2,405 1.00
13  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.26% 13,456 1.03
15  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,549 3d 16:38:51h 3,556 1.09% 3,702 0.96
16  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.89% 2,272 1.28
17  Russian federationStanislav752 elorank 10,304 16d 15:43:02h 13,578 4.15% 13,236 1.03
18  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
19  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 6.16% 22,358 0.90
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.46% 6,249 0.76


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) 3 times 15
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 42 times 168
6 Start Defusing the Bomb Without a Defuse Kit 57 times 0
7 Domination (4 kills) 372 times 1,116
8 Defuse the Bomb 469 times 4,690
9 Start Defusing the Bomb With a Defuse Kit 626 times 0
10 Revenge 1,538 times 4,614
11 Triple Kill (3 kills) 2,274 times 4,548
12 Domination 2,961 times 14,805
13 Plant the Bomb 4,073 times 40,730
14 Double Kill (2 kills) 9,736 times 9,736
15 Drop the Bomb 11,898 times -23796
16 Round MVP 15,593 times 0
17 Pick up the Bomb 21,013 times 42,026
18 Headshot 24,094 times 24,094




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,446 times -12230
2 Revenge 1,740 times -5220




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,850 times 27.73%
2 Counter-Terrorist 2,245 times 21.84%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-ascending.gif
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 High Explosive Grenade 1.80 2,250 0.69% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,594 0.49% 2 0.00% 0.00
4 Arctic Warfare Magnum (Police) 1.00 2,055 0.63% 347 0.29% 0.17
5 Benelli/H&K M4 Super 90 XM1014 1.10 52 0.02% 19 0.02% 0.37
6 Galil 1.10 108 0.03% 45 0.04% 0.42
7 Benelli M3 Super 90 Combat 1.20 547 0.17% 236 0.19% 0.43
8 H&K MP5-Navy 1.20 104 0.03% 45 0.04% 0.43
9 Sig Sauer P-228 1.50 1,295 0.40% 555 0.46% 0.43
10 Ingram MAC-10 1.50 78 0.02% 34 0.03% 0.44
11 FN P90 1.20 1,678 0.51% 737 0.61% 0.44
12 Sig Sauer SG-552 Commando 1.00 838 0.26% 366 0.30% 0.44
13 Colt M4A1 Carbine 1.00 10,604 3.24% 4,865 4.00% 0.46
14 Dual Beretta 96G Elite 1.40 217 0.07% 101 0.08% 0.47
15 Glock 18 Select Fire 1.40 94 0.03% 44 0.04% 0.47
16 Steyr Tactical Machine Pistol 1.50 53 0.02% 25 0.02% 0.47
17 H&K UMP45 1.20 32 0.01% 15 0.01% 0.47
18 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
19 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
20 M249 PARA Light Machine Gun 1.20 2,180 0.67% 1,039 0.85% 0.48
21 FN Five-Seven 1.50 62 0.02% 31 0.03% 0.50
22 Kalashnikov AK-47 1.00 16,544 5.06% 8,514 7.00% 0.51
23 H&K USP .45 Tactical 1.40 124 0.04% 66 0.05% 0.53
24 Desert Eagle .50AE 1.20 6,052 1.85% 3,435 2.82% 0.57
25 Steyr Scout 1.10 5,625 1.72% 3,536 2.91% 0.63




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 H&K UMP45 2,040 254 5,094 15 31 15.5000 12.5% 20.1 65.8
4 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
5 Steyr Tactical Machine Pistol 3,092 415 7,357 24 52 52.0000 13.4% 17.7 59.5
6 Benelli/H&K M4 Super 90 XM1014 1,075 652 7,793 19 52 10.4000 60.7% 12.0 20.7
7 FN Five-Seven 1,356 338 9,072 32 63 31.5000 24.9% 26.8 21.5
8 Steyr Aug 2,687 357 10,700 33 67 8.3750 13.3% 30.0 40.1
9 Ingram MAC-10 2,730 479 8,902 33 75 75.0000 17.5% 18.6 36.4
10 Glock 18 Select Fire 5,015 846 14,425 43 92 6.1333 16.9% 17.1 54.5
11 H&K MP5-Navy 4,976 892 15,009 44 102 10.2000 17.9% 16.8 48.8
12 Galil 2,887 440 15,004 45 108 54.0000 15.2% 34.1 26.7
13 H&K USP .45 Tactical 4,863 898 18,146 65 123 9.4615 18.5% 20.2 39.5
14 Dual Beretta 96G Elite 5,395 1,069 29,988 101 217 72.3333 19.8% 28.1 24.9
15 Bundeswehr Advanced Combat Knife 11,211 1,139 60,860 2 398 1.6379 10.2% 53.4 28.2
16 Benelli M3 Super 90 Combat 2,630 5,216 74,815 236 547 1.8862 198.3% 14.3 4.8
17 Sig Sauer SG-552 Commando 62,916 4,210 121,440 366 839 36.4783 6.7% 28.8 75.0
18 Sig Sauer P-228 34,978 5,525 169,286 555 1,295 21.5833 15.8% 30.6 27.0
19 FN P90 81,332 9,465 221,396 737 1,678 10.8961 11.6% 23.4 48.5
20 Arctic Warfare Magnum (Police) 8,698 2,971 398,870 347 2,056 4.9662 34.2% 134.3 4.2
21 M249 PARA Light Machine Gun 113,622 8,261 305,708 1,040 2,181 12.6069 7.3% 37.0 52.1
22 Steyr Scout 45,940 13,670 1,291,931 3,529 5,619 2.3038 29.8% 94.5 8.2
23 Desert Eagle .50AE 66,153 16,901 880,136 3,432 6,048 4.1171 25.5% 52.1 10.9
24 Colt M4A1 Carbine 363,166 46,741 1,489,131 4,862 10,601 11.4978 12.9% 31.9 34.3
25 Kalashnikov AK-47 533,501 59,528 2,330,015 8,506 16,533 8.7895 11.2% 39.1 32.3




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 46 23.9% 69.6% 6.5%
4 Fusil Automatique 183 22.4% 63.4% 14.2%
5 H&K UMP45 254 25.2% 54.7% 20.1%
6 FN Five-Seven 338 23.4% 62.4% 14.2%
7 Steyr Aug 357 28.3% 56.3% 15.4%
8 Steyr Tactical Machine Pistol 415 25.5% 63.4% 11.1%
9 Galil 440 28.0% 57.0% 15.0%
10 Ingram MAC-10 479 25.3% 60.5% 14.2%
11 Benelli/H&K M4 Super 90 XM1014 652 29.4% 53.4% 17.2%
12 Glock 18 Select Fire 846 26.5% 61.8% 11.7%
13 H&K MP5-Navy 892 28.1% 57.2% 14.7%
14 H&K USP .45 Tactical 898 25.5% 61.4% 13.1%
15 Dual Beretta 96G Elite 1,069 25.1% 61.3% 13.7%
16 Arctic Warfare Magnum (Police) 2,971 32.8% 57.2% 10.0%
17 Sig Sauer SG-552 Commando 4,210 29.3% 55.6% 15.1%
18 Benelli M3 Super 90 Combat 5,216 29.9% 57.2% 13.0%
19 Sig Sauer P-228 5,525 28.8% 57.6% 13.6%
20 M249 PARA Light Machine Gun 8,261 28.3% 56.6% 15.1%
21 FN P90 9,465 28.0% 56.2% 15.8%
22 Steyr Scout 13,645 26.6% 64.6% 8.8%
23 Desert Eagle .50AE 16,901 26.4% 61.6% 12.1%
24 Colt M4A1 Carbine 46,741 27.9% 59.1% 13.0%
25 Kalashnikov AK-47 59,528 27.4% 58.7% 13.9%


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 / 326818 * 100, 2) AS kpercent,
			ROUND(headshots / 121650 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc