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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.16%
Members: 30 active members (76 total)
Avg. Member Points: 11,710
Total Kills: 359,995
Total Deaths: 310,626
Avg. Kills: 12,000
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 17:18:07h
Avg. Connection Time: 13d 08:34:36h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 19.22% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 11.71% 38,713 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.35% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.53% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.88% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 6.92% 24,192 1.03
7  Russian federationLoony elorank 9,623 30d 14:02:34h 20,094 5.58% 22,309 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.49% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.21% 10,412 1.11
10  Russian federationStanislav752 elorank 10,719 16d 12:47:54h 13,480 3.74% 13,143 1.03
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.85% 13,411 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.99% 5,572 1.93
13  Russian federationslayer71 elorank 10,841 9d 15:04:09h 10,423 2.90% 9,594 1.09
14  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.57% 14,654 0.63
15  Russian federationубивашка 62 elorank 17,492 6d 06:32:25h 7,498 2.08% 5,103 1.47
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.32% 6,249 0.76
17  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.64% 7,910 0.75
18  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.67% 8,932 0.67
19  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.39% 11,872 0.42
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.19% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,433 times 4,866
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 669 times 0
5 Round MVP 16,336 times 0
6 Revenge 1,633 times 4,899
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 45 times 180
9 Plant the Bomb 4,304 times 43,040
10 Pick up the Bomb 21,777 times 43,554
11 Mega Kill (6 kills) 5 times 25
12 Kill a Hostage 18 times -270
13 Headshot 25,591 times 25,591
14 Drop the Bomb 12,295 times -24590
15 Double Kill (2 kills) 10,341 times 10,341
16 Domination (4 kills) 420 times 1,260
17 Domination 3,143 times 15,715
18 Defuse the Bomb 493 times 4,930




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,844 times -5532
2 Domination 2,625 times -13125




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,978 times 27.57%
2 Counter-Terrorist 2,369 times 21.93%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,454 4.85% 8,913 6.42% 0.51
2 Colt M4A1 Carbine 1.00 11,020 3.06% 5,009 3.61% 0.45
3 Desert Eagle .50AE 1.20 6,737 1.87% 3,833 2.76% 0.57
4 Steyr Scout 1.10 6,130 1.70% 3,901 2.81% 0.64
5 High Explosive Grenade 1.80 2,396 0.67% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,350 0.65% 1,148 0.83% 0.49
7 Arctic Warfare Magnum (Police) 1.00 2,270 0.63% 377 0.27% 0.17
8 FN P90 1.20 1,644 0.46% 729 0.53% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,619 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,305 0.36% 559 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 880 0.24% 388 0.28% 0.44
12 Benelli M3 Super 90 Combat 1.20 588 0.16% 255 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.07% 0.47
14 H&K USP .45 Tactical 1.40 127 0.04% 67 0.05% 0.53
15 Galil 1.10 113 0.03% 47 0.03% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 97 0.03% 45 0.03% 0.46
18 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
19 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
20 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
21 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
22 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
23 Fusil Automatique 1.00 43 0.01% 20 0.01% 0.47
24 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
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-47 560,779 62,798 2,453,852 8,905 17,443 8.8185 11.2% 39.1 32.1
2 Colt M4A1 Carbine 379,741 48,636 1,547,676 5,006 11,017 11.4760 12.8% 31.8 34.5
3 Desert Eagle .50AE 72,547 18,818 982,155 3,830 6,733 4.2695 25.9% 52.2 10.8
4 Steyr Scout 49,606 14,754 1,408,619 3,894 6,124 2.3197 29.7% 95.5 8.1
5 M249 PARA Light Machine Gun 119,128 8,893 331,842 1,149 2,351 13.3580 7.5% 37.3 50.7
6 Arctic Warfare Magnum (Police) 9,513 3,274 438,237 377 2,269 4.9113 34.4% 133.9 4.2
7 FN P90 80,310 9,244 216,802 729 1,644 10.8158 11.5% 23.5 48.9
8 Sig Sauer P-228 35,130 5,547 170,152 559 1,305 21.3934 15.8% 30.7 26.9
9 Sig Sauer SG-552 Commando 66,978 4,443 128,212 388 881 38.3043 6.6% 28.9 76.0
10 Benelli M3 Super 90 Combat 2,742 5,444 78,945 255 588 2.0137 198.5% 14.5 4.7
11 Bundeswehr Advanced Combat Knife 11,518 1,092 57,512 2 381 1.7085 9.5% 52.7 30.2
12 Dual Beretta 96G Elite 5,423 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
13 H&K USP .45 Tactical 5,027 920 18,777 66 126 9.6923 18.3% 20.4 39.9
14 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
15 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
16 Glock 18 Select Fire 5,092 878 14,870 44 95 6.3333 17.2% 16.9 53.6
17 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
18 Benelli/H&K M4 Super 90 XM1014 1,235 798 9,431 24 66 13.2000 64.6% 11.8 18.7
19 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
20 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
21 Steyr Tactical Machine Pistol 3,216 434 7,706 26 54 54.0000 13.5% 17.8 59.6
22 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
23 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
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 Middle Right sort-descending.gif
1 H&K UMP45 260 25.0% 54.2% 20.8%
2 Benelli/H&K M4 Super 90 XM1014 798 27.4% 56.0% 16.5%
3 Steyr Aug 354 27.4% 56.2% 16.4%
4 FN P90 9,244 28.0% 56.3% 15.7%
5 Sig Sauer SG-552 Commando 4,443 29.2% 55.5% 15.3%
6 M249 PARA Light Machine Gun 8,893 28.0% 57.1% 14.9%
7 Galil 461 28.9% 56.4% 14.8%
8 H&K MP5-Navy 915 28.3% 57.0% 14.6%
9 Fusil Automatique 192 23.4% 62.5% 14.1%
10 Ingram MAC-10 478 25.5% 60.5% 14.0%
11 Kalashnikov AK-47 62,798 27.3% 58.7% 14.0%
12 FN Five-Seven 335 23.6% 62.7% 13.7%
13 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
14 Sig Sauer P-228 5,547 28.8% 57.7% 13.6%
15 Colt M4A1 Carbine 48,636 27.8% 59.1% 13.1%
16 H&K USP .45 Tactical 920 25.5% 61.4% 13.0%
17 Benelli M3 Super 90 Combat 5,444 29.8% 57.4% 12.7%
18 Desert Eagle .50AE 18,818 26.2% 61.9% 12.0%
19 Glock 18 Select Fire 878 26.7% 61.8% 11.5%
20 Steyr Tactical Machine Pistol 434 25.1% 64.1% 10.8%
21 Arctic Warfare Magnum (Police) 3,274 32.9% 57.3% 9.9%
22 Bundeswehr Advanced Combat Knife 52 25.0% 65.4% 9.6%
23 Steyr Scout 14,729 26.4% 65.0% 8.7%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 359995 * 100, 2) AS kpercent,
			ROUND(headshots / 138742 * 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