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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.62%
Members: 29 active members (74 total)
Avg. Member Points: 11,888
Total Kills: 374,979
Total Deaths: 311,423
Avg. Kills: 12,930
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 17:57:04h
Avg. Connection Time: 14d 01:26:47h
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-ascending.gif Clan Kills % Deaths Kpd
1  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
2  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
3  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
4  Russian federationSprut elorank 9,060 2d 03:06:42h 1,688 0.45% 2,193 0.77
5  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.45% 1,717 0.99
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
7  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.87% 3,432 0.95
8  Russian federationИлья190RUS elorank 12,501 3d 16:45:37h 3,873 1.03% 3,361 1.15
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.19% 5,036 0.88
11  Russian federation⇜Ṧ†êrvå⇝ elorank 9,371 6d 13:35:27h 4,746 1.27% 6,212 0.76
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.33% 11,872 0.42
13  Russian federationBISON elorank 10,122 7d 23:36:24h 5,263 1.40% 7,921 0.66
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 7,910 0.75
15  Russian federationубивашка 62 elorank 17,195 5d 00:51:00h 6,012 1.60% 4,081 1.47
16  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
17  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
18  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
19  Russian federationStanislav752 elorank 10,829 15d 13:02:25h 12,891 3.44% 12,246 1.05
20  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,923 times 26,923
2 Pick up the Bomb 22,893 times 45,786
3 Round MVP 17,061 times 0
4 Drop the Bomb 12,743 times -25486
5 Double Kill (2 kills) 10,767 times 10,767
6 Plant the Bomb 4,794 times 47,940
7 Domination 3,362 times 16,810
8 Triple Kill (3 kills) 2,600 times 5,200
9 Revenge 1,656 times 4,968
10 Start Defusing the Bomb With a Defuse Kit 701 times 0
11 Defuse the Bomb 504 times 5,040
12 Domination (4 kills) 451 times 1,353
13 Start Defusing the Bomb Without a Defuse Kit 66 times 0
14 Rampage (5 kills) 49 times 196
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,666 times -13330
2 Revenge 1,961 times -5883




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,168 times 28.12%
2 Counter-Terrorist 2,402 times 21.32%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,991 5.33% 10,126 7.22% 0.51
2 Colt M4A1 Carbine 1.00 11,644 3.11% 5,256 3.75% 0.45
3 Desert Eagle .50AE 1.20 6,359 1.70% 3,567 2.54% 0.56
4 Steyr Scout 1.10 5,707 1.52% 3,562 2.54% 0.62
5 High Explosive Grenade 1.80 2,498 0.67% 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 2,101 0.56% 1,032 0.74% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,677 0.45% 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 1,273 0.34% 534 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 1.20 639 0.17% 268 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-47 607,519 72,252 2,863,696 10,554 20,519 9.1439 11.9% 39.6 29.6
2 Colt M4A1 Carbine 416,999 51,603 1,637,870 5,253 11,641 10.9305 12.4% 31.7 35.8
3 Desert Eagle .50AE 68,528 17,785 930,394 3,601 6,399 4.3919 26.0% 52.3 10.7
4 Steyr Scout 45,758 13,752 1,313,889 3,555 5,701 2.4229 30.1% 95.5 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 110,290 8,112 306,432 1,084 2,159 13.0848 7.4% 37.8 51.1
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 33,640 5,226 161,863 534 1,273 23.5741 15.5% 31.0 26.4
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 2,864 5,802 84,161 268 639 2.0747 202.6% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,384 1,209 63,120 2 421 1.7542 9.8% 52.2 29.4
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 Left Middle sort-descending.gif Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 59 22.0% 71.2% 6.8%
4 Steyr Scout 13,727 26.5% 64.9% 8.7%
5 Fusil Automatique 194 21.1% 64.9% 13.9%
6 H&K USP .45 Tactical 937 25.1% 62.6% 12.3%
7 Steyr Tactical Machine Pistol 502 26.3% 62.4% 11.4%
8 Glock 18 Select Fire 889 26.2% 62.4% 11.4%
9 FN Five-Seven 334 23.7% 62.0% 14.4%
10 Desert Eagle .50AE 17,785 26.3% 61.8% 12.0%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Colt M4A1 Carbine 51,603 27.7% 59.3% 13.0%
13 Kalashnikov AK-47 72,252 27.2% 59.1% 13.7%
14 Ingram MAC-10 826 26.6% 59.0% 14.4%
15 Benelli M3 Super 90 Combat 5,802 29.5% 57.6% 12.9%
16 Sig Sauer P-228 5,226 28.8% 57.5% 13.7%
17 Arctic Warfare Magnum (Police) 3,490 32.7% 57.4% 9.9%
18 M249 PARA Light Machine Gun 8,112 28.3% 57.3% 14.4%
19 Steyr Aug 449 27.8% 57.0% 15.1%
20 H&K MP5-Navy 901 28.6% 56.6% 14.8%
21 Benelli/H&K M4 Super 90 XM1014 966 27.3% 56.3% 16.4%
22 FN P90 8,516 28.1% 56.3% 15.6%
23 Sig Sauer SG-552 Commando 5,069 28.8% 56.0% 15.2%
24 Galil 527 28.3% 55.2% 16.5%
25 H&K UMP45 267 25.1% 55.1% 19.9%


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 / 374979 * 100, 2) AS kpercent,
			ROUND(headshots / 140184 * 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