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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.03%
Members: 29 active members (75 total)
Avg. Member Points: 11,647
Total Kills: 346,686
Total Deaths: 298,060
Avg. Kills: 11,955
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 387d 18:38:42h
Avg. Connection Time: 13d 08:55:07h
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 Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.15% 38,689 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.91% 31,407 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.19% 24,192 1.03
4  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.77% 22,172 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.66% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.78% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.06% 15,207 1.15
8  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.67% 14,654 0.63
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.00% 13,411 1.03
10  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.74% 12,310 1.05
11  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.55% 12,180 1.58
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
14  Russian federationBISON elorank 9,912 8d 09:46:57h 5,519 1.59% 8,341 0.66
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.71% 7,910 0.75
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.38% 6,243 0.76
17  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.11% 5,572 1.93
18  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.28% 5,036 0.88
19  Russian federationубивашка 62 elorank 17,689 5d 13:22:18h 6,658 1.92% 4,466 1.49
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.96% 3,500 0.95


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) 450 times 1,350
8 Defuse the Bomb 497 times 4,970
9 Start Defusing the Bomb With a Defuse Kit 690 times 0
10 Revenge 1,648 times 4,944
11 Triple Kill (3 kills) 2,538 times 5,076
12 Domination 3,291 times 16,455
13 Plant the Bomb 4,716 times 47,160
14 Double Kill (2 kills) 10,647 times 10,647
15 Drop the Bomb 12,495 times -24990
16 Round MVP 16,792 times 0
17 Pick up the Bomb 22,537 times 45,074
18 Headshot 26,645 times 26,645




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,649 times -13245
2 Revenge 1,929 times -5787




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,117 times 27.95%
2 Counter-Terrorist 2,400 times 21.52%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,649 0.48% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,483 0.72% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
4 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
5 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
6 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
7 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
12 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
13 Benelli M3 Super 90 Combat 1.20 634 0.18% 266 0.20% 0.42
14 M249 PARA Light Machine Gun 1.20 2,165 0.62% 1,057 0.81% 0.49
15 Desert Eagle .50AE 1.20 6,416 1.85% 3,586 2.73% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
17 Steyr Scout 1.10 5,837 1.68% 3,675 2.80% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 961 0.28% 425 0.32% 0.44
20 Colt M4A1 Carbine 1.00 11,638 3.36% 5,254 4.00% 0.45
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 Arctic Warfare Magnum (Police) 1.00 2,400 0.69% 397 0.30% 0.17
23 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
24 Kalashnikov AK-47 1.00 19,116 5.51% 9,691 7.38% 0.51
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-47 582,008 69,331 2,742,470 10,119 19,645 9.3325 11.9% 39.6 29.6
2 Colt M4A1 Carbine 412,270 51,465 1,633,952 5,251 11,635 10.9146 12.5% 31.7 35.4
3 Desert Eagle .50AE 69,843 18,035 939,081 3,620 6,456 4.3710 25.8% 52.1 10.8
4 Steyr Scout 46,883 14,060 1,345,748 3,668 5,831 2.3917 30.0% 95.7 8.0
5 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
6 M249 PARA Light Machine Gun 112,780 8,350 314,431 1,109 2,223 13.3916 7.4% 37.7 50.7
7 FN P90 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
8 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,072 4,965 143,358 438 977 37.5769 6.7% 28.9 75.8
10 Benelli M3 Super 90 Combat 2,854 5,763 83,387 266 634 2.1347 201.9% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,044 1,157 60,502 2 403 1.7446 9.6% 52.3 29.9
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 5,128 930 19,158 66 133 10.2308 18.1% 20.6 38.6
14 Galil 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
15 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
16 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
17 Glock 18 Select Fire 5,193 901 15,897 50 103 6.8667 17.4% 17.6 50.4
18 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
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 69,331 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,465 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,035 26.2% 61.7% 12.1%
4 Steyr Scout 14,035 26.4% 64.9% 8.7%
5 FN P90 8,789 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,350 28.3% 57.3% 14.5%
7 Benelli M3 Super 90 Combat 5,763 29.6% 57.4% 13.0%
8 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,965 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 930 25.1% 62.7% 12.3%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 901 26.5% 62.2% 11.3%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 428 27.8% 57.2% 15.0%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
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 53 24.5% 67.9% 7.5%
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 / 346686 * 100, 2) AS kpercent,
			ROUND(headshots / 131287 * 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