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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.48%
Members: 29 active members (74 total)
Avg. Member Points: 11,867
Total Kills: 374,865
Total Deaths: 311,338
Avg. Kills: 12,926
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 15:10:11h
Avg. Connection Time: 14d 01:21:02h
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 33,787 46d 21:12:43h 69,011 18.41% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.68% 16,883 1.93
5  Russian federationубивашка 62 elorank 16,824 5d 00:09:20h 5,971 1.59% 4,067 1.47
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.13% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,983 50d 00:01:58h 42,120 11.24% 38,689 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,501 3d 16:45:26h 3,873 1.03% 3,361 1.15
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
13  Russian federationStanislav752 elorank 10,732 15d 11:54:32h 12,854 3.43% 12,202 1.05
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.87% 3,432 0.95
17  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.45% 1,717 0.99
18  Russian federationBISON elorank 10,010 7d 22:42:28h 5,230 1.40% 7,894 0.66
19  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.19% 5,036 0.88
20  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.32% 22,106 0.90


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) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 49 times 196
6 Start Defusing the Bomb Without a Defuse Kit 66 times 0
7 Domination (4 kills) 451 times 1,353
8 Defuse the Bomb 504 times 5,040
9 Start Defusing the Bomb With a Defuse Kit 701 times 0
10 Revenge 1,654 times 4,962
11 Triple Kill (3 kills) 2,596 times 5,192
12 Domination 3,353 times 16,765
13 Plant the Bomb 4,772 times 47,720
14 Double Kill (2 kills) 10,749 times 10,749
15 Drop the Bomb 12,716 times -25432
16 Round MVP 17,021 times 0
17 Pick up the Bomb 22,831 times 45,662
18 Headshot 26,881 times 26,881




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,664 times -13320
2 Revenge 1,954 times -5862




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,398 times 21.33%
2 Terrorist 3,162 times 28.12%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,962 5.33% 10,111 7.21% 0.51
2 Colt M4A1 Carbine 1.00 11,633 3.10% 5,253 3.75% 0.45
3 Desert Eagle .50AE 1.20 6,333 1.69% 3,559 2.54% 0.56
4 Steyr Scout 1.10 5,691 1.52% 3,553 2.54% 0.62
5 High Explosive Grenade 1.80 2,492 0.66% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,405 0.64% 391 0.28% 0.16
7 M249 PARA Light Machine Gun 1.20 2,097 0.56% 1,030 0.73% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,664 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,504 0.40% 665 0.47% 0.44
10 Sig Sauer P-228 1.50 1,265 0.34% 530 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 985 0.26% 440 0.31% 0.45
12 Benelli M3 Super 90 Combat 1.20 638 0.17% 267 0.19% 0.42
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 137 0.04% 71 0.05% 0.52
15 Galil 1.10 124 0.03% 53 0.04% 0.43
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
18 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
19 Steyr Aug 1.00 86 0.02% 42 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 42 0.01% 21 0.01% 0.50
24 H&K UMP45 1.20 34 0.01% 16 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-47 605,628 72,138 2,859,408 10,539 20,490 9.1351 11.9% 39.6 29.6
2 Colt M4A1 Carbine 416,270 51,538 1,635,853 5,250 11,630 10.9202 12.4% 31.7 35.8
3 Desert Eagle .50AE 68,178 17,712 927,424 3,594 6,374 4.3838 26.0% 52.4 10.7
4 Steyr Scout 45,611 13,710 1,310,419 3,546 5,685 2.4253 30.1% 95.6 8.0
5 Arctic Warfare Magnum (Police) 10,087 3,490 466,201 398 2,413 5.0587 34.6% 133.6 4.2
6 M249 PARA Light Machine Gun 109,780 8,092 305,732 1,082 2,155 13.0606 7.4% 37.8 50.9
7 FN P90 75,157 8,516 199,222 665 1,504 10.1622 11.3% 23.4 50.0
8 Sig Sauer P-228 33,284 5,181 160,495 530 1,265 23.4259 15.6% 31.0 26.3
9 Sig Sauer SG-552 Commando 74,664 5,069 146,883 453 1,001 38.5000 6.8% 29.0 74.6
10 Benelli M3 Super 90 Combat 2,854 5,796 84,002 267 638 2.0782 203.1% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,376 1,206 62,851 2 419 1.7458 9.7% 52.1 29.5
12 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
13 H&K USP .45 Tactical 5,234 937 19,529 70 136 10.4615 17.9% 20.8 38.5
14 Galil 3,678 527 17,463 53 124 62.0000 14.3% 33.1 29.7
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
17 Glock 18 Select Fire 5,080 889 15,686 50 102 6.8000 17.5% 17.6 49.8
18 Steyr Aug 3,149 449 13,373 43 87 12.4286 14.3% 29.8 36.2
19 Benelli/H&K M4 Super 90 XM1014 1,381 966 11,390 28 79 15.8000 69.9% 11.8 17.5
20 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
21 Steyr Tactical Machine Pistol 3,953 502 8,956 29 59 59.0000 12.7% 17.8 67.0
22 Fusil Automatique 1,106 194 6,107 20 40 40.0000 17.5% 31.5 27.7
23 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
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 72,138 27.2% 59.1% 13.7%
2 Colt M4A1 Carbine 51,538 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 17,712 26.3% 61.8% 12.0%
4 Steyr Scout 13,685 26.5% 64.9% 8.7%
5 FN P90 8,516 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 8,092 28.3% 57.3% 14.4%
7 Benelli M3 Super 90 Combat 5,796 29.5% 57.6% 12.9%
8 Sig Sauer P-228 5,181 28.9% 57.4% 13.7%
9 Sig Sauer SG-552 Commando 5,069 28.8% 56.0% 15.2%
10 Arctic Warfare Magnum (Police) 3,490 32.7% 57.4% 9.9%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 966 27.3% 56.3% 16.4%
13 H&K USP .45 Tactical 937 25.1% 62.6% 12.3%
14 H&K MP5-Navy 901 28.6% 56.6% 14.8%
15 Glock 18 Select Fire 889 26.2% 62.4% 11.4%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Galil 527 28.3% 55.2% 16.5%
18 Steyr Tactical Machine Pistol 502 26.3% 62.4% 11.4%
19 Steyr Aug 449 27.8% 57.0% 15.1%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 194 21.1% 64.9% 13.9%
23 Bundeswehr Advanced Combat Knife 59 22.0% 71.2% 6.8%
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 / 374865 * 100, 2) AS kpercent,
			ROUND(headshots / 140142 * 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