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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.42%
Members: 28 active members (75 total)
Avg. Member Points: 11,806
Total Kills: 326,837
Total Deaths: 285,833
Avg. Kills: 11,673
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 369d 15:36:13h
Avg. Connection Time: 13d 04:50:34h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills sort-descending.gif 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  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.90% 38,713 1.09
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.62% 24,192 1.03
4  Russian federationLoony elorank 9,672 30d 15:55:30h 20,136 6.16% 22,380 0.90
5  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.89% 12,180 1.58
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.37% 15,207 1.15
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.94% 18,072 0.89
8  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.26% 13,456 1.03
9  Russian federationStanislav752 elorank 10,322 16d 16:00:29h 13,584 4.16% 13,240 1.03
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.54% 10,412 1.11
11  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.30% 5,572 1.93
12  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.83% 14,654 0.63
13  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.36% 5,238 1.47
14  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.81% 7,910 0.75
16  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.53% 11,872 0.42
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.46% 6,249 0.76
18  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.31% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,888 3d 22:58:03h 4,124 1.26% 3,600 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 24,101 times 24,101
2 Pick up the Bomb 21,013 times 42,026
3 Round MVP 15,594 times 0
4 Drop the Bomb 11,898 times -23796
5 Double Kill (2 kills) 9,738 times 9,738
6 Plant the Bomb 4,073 times 40,730
7 Domination 2,962 times 14,810
8 Triple Kill (3 kills) 2,274 times 4,548
9 Revenge 1,538 times 4,614
10 Start Defusing the Bomb With a Defuse Kit 626 times 0
11 Defuse the Bomb 469 times 4,690
12 Domination (4 kills) 372 times 1,116
13 Start Defusing the Bomb Without a Defuse Kit 57 times 0
14 Rampage (5 kills) 42 times 168
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 3 times 15
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 1,741 times -5223
2 Domination 2,447 times -12235




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,850 times 27.72%
2 Counter-Terrorist 2,247 times 21.85%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 16,547 5.06% 8,515 7.00% 0.51
2 Colt M4A1 Carbine 1.00 10,619 3.25% 4,871 4.00% 0.46
3 Desert Eagle .50AE 1.20 6,052 1.85% 3,435 2.82% 0.57
4 Steyr Scout 1.10 5,625 1.72% 3,536 2.91% 0.63
5 High Explosive Grenade 1.80 2,250 0.69% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,180 0.67% 1,039 0.85% 0.48
7 Arctic Warfare Magnum (Police) 1.00 2,055 0.63% 347 0.29% 0.17
8 FN P90 1.20 1,678 0.51% 737 0.61% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,594 0.49% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,296 0.40% 555 0.46% 0.43
11 Sig Sauer SG-552 Commando 1.00 838 0.26% 366 0.30% 0.44
12 Benelli M3 Super 90 Combat 1.20 547 0.17% 236 0.19% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.07% 101 0.08% 0.47
14 H&K USP .45 Tactical 1.40 124 0.04% 66 0.05% 0.53
15 Galil 1.10 108 0.03% 45 0.04% 0.42
16 H&K MP5-Navy 1.20 104 0.03% 45 0.04% 0.43
17 Glock 18 Select Fire 1.40 94 0.03% 44 0.04% 0.47
18 Ingram MAC-10 1.50 78 0.02% 34 0.03% 0.44
19 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
20 FN Five-Seven 1.50 62 0.02% 31 0.03% 0.50
21 Steyr Tactical Machine Pistol 1.50 53 0.02% 25 0.02% 0.47
22 Benelli/H&K M4 Super 90 XM1014 1.10 52 0.02% 19 0.02% 0.37
23 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
24 H&K UMP45 1.20 32 0.01% 15 0.01% 0.47
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-47 534,048 59,542 2,330,353 8,507 16,536 8.7911 11.1% 39.1 32.3
2 Colt M4A1 Carbine 364,104 46,802 1,491,100 4,868 10,616 11.5141 12.9% 31.9 34.3
3 Desert Eagle .50AE 66,171 16,902 880,184 3,432 6,048 4.1115 25.5% 52.1 10.9
4 Steyr Scout 45,943 13,671 1,291,993 3,529 5,619 2.3019 29.8% 94.5 8.2
5 M249 PARA Light Machine Gun 113,622 8,261 305,708 1,040 2,181 12.6069 7.3% 37.0 52.1
6 Arctic Warfare Magnum (Police) 8,698 2,971 398,870 347 2,056 4.9662 34.2% 134.3 4.2
7 FN P90 81,332 9,465 221,396 737 1,678 10.8961 11.6% 23.4 48.5
8 Sig Sauer P-228 35,002 5,529 169,359 555 1,296 21.6000 15.8% 30.6 27.0
9 Sig Sauer SG-552 Commando 62,916 4,210 121,440 366 839 36.4783 6.7% 28.8 75.0
10 Benelli M3 Super 90 Combat 2,630 5,216 74,815 236 547 1.8862 198.3% 14.3 4.8
11 Bundeswehr Advanced Combat Knife 11,211 1,139 60,860 2 398 1.6379 10.2% 53.4 28.2
12 Dual Beretta 96G Elite 5,395 1,069 29,988 101 217 72.3333 19.8% 28.1 24.9
13 H&K USP .45 Tactical 4,863 898 18,146 65 123 9.4615 18.5% 20.2 39.5
14 Galil 2,887 440 15,004 45 108 54.0000 15.2% 34.1 26.7
15 H&K MP5-Navy 4,976 892 15,009 44 102 10.2000 17.9% 16.8 48.8
16 Glock 18 Select Fire 5,015 846 14,425 43 92 6.1333 16.9% 17.1 54.5
17 Ingram MAC-10 2,730 479 8,902 33 75 75.0000 17.5% 18.6 36.4
18 Steyr Aug 2,687 357 10,700 33 67 8.3750 13.3% 30.0 40.1
19 FN Five-Seven 1,356 338 9,072 32 63 31.5000 24.9% 26.8 21.5
20 Benelli/H&K M4 Super 90 XM1014 1,075 652 7,793 19 52 10.4000 60.7% 12.0 20.7
21 Steyr Tactical Machine Pistol 3,092 415 7,357 24 52 52.0000 13.4% 17.7 59.5
22 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
23 H&K UMP45 2,040 254 5,094 15 31 15.5000 12.5% 20.1 65.8
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits Left sort-descending.gif Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Arctic Warfare Magnum (Police) 2,971 32.8% 57.2% 10.0%
3 Benelli M3 Super 90 Combat 5,216 29.9% 57.2% 13.0%
4 Benelli/H&K M4 Super 90 XM1014 652 29.4% 53.4% 17.2%
5 Sig Sauer SG-552 Commando 4,210 29.3% 55.6% 15.1%
6 Sig Sauer P-228 5,529 28.8% 57.6% 13.6%
7 M249 PARA Light Machine Gun 8,261 28.3% 56.6% 15.1%
8 Steyr Aug 357 28.3% 56.3% 15.4%
9 H&K MP5-Navy 892 28.1% 57.2% 14.7%
10 FN P90 9,465 28.0% 56.2% 15.8%
11 Galil 440 28.0% 57.0% 15.0%
12 Colt M4A1 Carbine 46,802 27.9% 59.1% 13.0%
13 Kalashnikov AK-47 59,542 27.4% 58.7% 13.9%
14 Steyr Scout 13,646 26.6% 64.6% 8.8%
15 Glock 18 Select Fire 846 26.5% 61.8% 11.7%
16 Desert Eagle .50AE 16,902 26.4% 61.6% 12.1%
17 H&K USP .45 Tactical 898 25.5% 61.4% 13.1%
18 Steyr Tactical Machine Pistol 415 25.5% 63.4% 11.1%
19 Ingram MAC-10 479 25.3% 60.5% 14.2%
20 H&K UMP45 254 25.2% 54.7% 20.1%
21 Dual Beretta 96G Elite 1,069 25.1% 61.3% 13.7%
22 Bundeswehr Advanced Combat Knife 46 23.9% 69.6% 6.5%
23 FN Five-Seven 338 23.4% 62.4% 14.2%
24 Fusil Automatique 183 22.4% 63.4% 14.2%
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 / 326837 * 100, 2) AS kpercent,
			ROUND(headshots / 121657 * 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