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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.20%
Members: 29 active members (75 total)
Avg. Member Points: 11,660
Total Kills: 347,384
Total Deaths: 298,766
Avg. Kills: 11,979
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 13:18:52h
Avg. Connection Time: 13d 09:33:45h
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 33,787 46d 21:12:43h 69,011 19.87% 31,407 2.20
2  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.13% 38,689 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.17% 24,192 1.03
7  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.78% 22,263 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
10  Russian federationStanislav752 elorank 10,877 15d 15:15:18h 12,951 3.73% 12,314 1.05
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,484 5d 17:14:11h 6,853 1.97% 4,599 1.49
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
17  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,784 3d 20:00:43h 4,008 1.15% 3,480 1.15


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) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 65 times 0
7 Domination (4 kills) 446 times 1,338
8 Defuse the Bomb 496 times 4,960
9 Start Defusing the Bomb With a Defuse Kit 677 times 0
10 Revenge 1,650 times 4,950
11 Triple Kill (3 kills) 2,551 times 5,102
12 Domination 3,288 times 16,440
13 Plant the Bomb 4,731 times 47,310
14 Double Kill (2 kills) 10,635 times 10,635
15 Drop the Bomb 12,437 times -24874
16 Round MVP 16,796 times 0
17 Pick up the Bomb 22,573 times 45,146
18 Headshot 26,632 times 26,632




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,644 times -13220
2 Revenge 1,929 times -5787




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,097 times 28.01%
2 Counter-Terrorist 2,373 times 21.46%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,954 5.46% 9,598 7.29% 0.51
2 Colt M4A1 Carbine 1.00 11,520 3.32% 5,198 3.95% 0.45
3 Desert Eagle .50AE 1.20 6,489 1.87% 3,623 2.75% 0.56
4 Steyr Scout 1.10 5,935 1.71% 3,737 2.84% 0.63
5 High Explosive Grenade 1.80 2,481 0.71% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,407 0.69% 401 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,239 0.64% 1,080 0.82% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,631 0.47% 2 0.00% 0.00
9 FN P90 1.20 1,556 0.45% 691 0.53% 0.44
10 Sig Sauer P-228 1.50 1,243 0.36% 529 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 640 0.18% 269 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 136 0.04% 71 0.05% 0.52
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 117 0.03% 57 0.04% 0.49
17 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
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 sort-descending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 572,399 68,777 2,719,129 10,026 19,483 9.3985 12.0% 39.5 29.4
2 Colt M4A1 Carbine 402,611 50,945 1,617,919 5,195 11,517 11.1275 12.7% 31.8 35.0
3 Desert Eagle .50AE 70,544 18,215 947,644 3,657 6,529 4.3585 25.8% 52.0 10.8
4 Steyr Scout 47,672 14,327 1,368,101 3,730 5,929 2.3821 30.1% 95.5 8.0
5 FN P90 76,857 8,800 206,123 690 1,555 10.1634 11.4% 23.4 49.4
6 M249 PARA Light Machine Gun 116,378 8,655 324,385 1,132 2,297 12.0895 7.4% 37.5 50.7
7 Benelli M3 Super 90 Combat 2,890 5,817 83,982 269 640 2.1405 201.3% 14.4 4.5
8 Sig Sauer P-228 33,592 5,203 160,260 529 1,243 22.6000 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,004 4,956 143,497 440 977 37.5769 6.7% 29.0 75.7
10 Arctic Warfare Magnum (Police) 10,011 3,474 467,780 408 2,415 5.0735 34.7% 134.7 4.1
11 Bundeswehr Advanced Combat Knife 11,947 1,134 58,982 2 391 1.6926 9.5% 52.0 30.6
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,162 942 19,343 70 135 10.3846 18.2% 20.5 38.2
14 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
15 Glock 18 Select Fire 5,238 905 15,932 50 103 6.8667 17.3% 17.6 50.9
16 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
17 Ingram MAC-10 5,006 839 15,200 56 114 28.5000 16.8% 18.1 43.9
18 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
19 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
20 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
21 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
22 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
23 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
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 68,777 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,945 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,215 26.2% 61.6% 12.2%
4 Steyr Scout 14,302 26.4% 64.9% 8.7%
5 FN P90 8,800 27.9% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,655 28.4% 57.0% 14.6%
7 Benelli M3 Super 90 Combat 5,817 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,203 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,956 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,474 32.5% 57.7% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 942 24.8% 62.4% 12.7%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
15 H&K MP5-Navy 900 28.4% 56.8% 14.8%
16 Ingram MAC-10 839 26.3% 58.4% 15.3%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 396 27.5% 56.8% 15.7%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
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 / 347384 * 100, 2) AS kpercent,
			ROUND(headshots / 131617 * 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