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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.24%
Members: 29 active members (75 total)
Avg. Member Points: 11,676
Total Kills: 347,107
Total Deaths: 298,451
Avg. Kills: 11,969
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 04:47:14h
Avg. Connection Time: 13d 09:16:06h
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 12.14% 38,689 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.88% 31,407 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.18% 24,192 1.03
4  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.76% 22,172 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 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 2.66% 14,654 0.63
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
10  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 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 10,133 8d 14:44:30h 5,684 1.64% 8,550 0.66
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
17  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 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 17,818 5d 15:47:42h 6,786 1.96% 4,536 1.50
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,239 3d 13:37:29h 3,402 0.98% 3,574 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,835 times 26,835
2 Pick up the Bomb 22,714 times 45,428
3 Round MVP 16,941 times 0
4 Drop the Bomb 12,588 times -25176
5 Double Kill (2 kills) 10,723 times 10,723
6 Plant the Bomb 4,737 times 47,370
7 Domination 3,319 times 16,595
8 Triple Kill (3 kills) 2,556 times 5,112
9 Revenge 1,666 times 4,998
10 Start Defusing the Bomb With a Defuse Kit 697 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 65 times 0
14 Rampage (5 kills) 48 times 192
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 2,671 times -13355
2 Revenge 1,948 times -5844




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,131 times 27.94%
2 Counter-Terrorist 2,412 times 21.53%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
3 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
4 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
5 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
6 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
7 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
10 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 638 0.18% 268 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 965 0.28% 428 0.33% 0.44
16 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
17 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,655 0.48% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,261 0.65% 1,095 0.83% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,409 0.69% 400 0.30% 0.17
21 High Explosive Grenade 1.80 2,499 0.72% 0 0.00% 0.00
22 Steyr Scout 1.10 5,925 1.71% 3,726 2.83% 0.63
23 Desert Eagle .50AE 1.20 6,475 1.87% 3,613 2.75% 0.56
24 Colt M4A1 Carbine 1.00 11,710 3.37% 5,284 4.02% 0.45
25 Kalashnikov AK-47 1.00 19,179 5.53% 9,723 7.40% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
4 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
5 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
6 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
7 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
8 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
9 Glock 18 Select Fire 5,207 905 15,932 50 103 6.8667 17.4% 17.6 50.6
10 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
11 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
12 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
13 H&K USP .45 Tactical 5,142 933 19,224 66 133 10.2308 18.1% 20.6 38.7
14 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
15 Bundeswehr Advanced Combat Knife 12,058 1,158 60,557 2 403 1.7446 9.6% 52.3 29.9
16 Benelli M3 Super 90 Combat 2,875 5,800 83,874 268 638 2.1267 201.7% 14.5 4.5
17 Sig Sauer SG-552 Commando 74,133 4,978 143,947 441 981 37.7308 6.7% 28.9 75.6
18 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
19 FN P90 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
20 M249 PARA Light Machine Gun 116,601 8,710 327,236 1,147 2,319 12.4011 7.5% 37.6 50.3
21 Arctic Warfare Magnum (Police) 10,051 3,480 468,474 407 2,417 5.0671 34.6% 134.6 4.2
22 Steyr Scout 47,534 14,287 1,364,589 3,719 5,919 2.3800 30.1% 95.5 8.0
23 Desert Eagle .50AE 70,483 18,187 946,707 3,647 6,515 4.3520 25.8% 52.1 10.8
24 Colt M4A1 Carbine 414,709 51,787 1,643,538 5,281 11,707 10.9719 12.5% 31.7 35.4
25 Kalashnikov AK-47 583,866 69,571 2,751,389 10,151 19,708 9.3403 11.9% 39.5 29.6




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle 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 53 24.5% 67.9% 7.5%
4 Fusil Automatique 214 22.0% 63.6% 14.5%
5 H&K UMP45 269 26.4% 53.5% 20.1%
6 FN Five-Seven 344 23.3% 62.5% 14.2%
7 Steyr Aug 428 27.8% 57.2% 15.0%
8 Galil 500 28.8% 55.6% 15.6%
9 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
10 Ingram MAC-10 844 26.4% 58.4% 15.2%
11 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
12 H&K MP5-Navy 905 28.4% 56.8% 14.8%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K USP .45 Tactical 933 25.0% 62.8% 12.2%
15 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,480 32.6% 57.6% 9.8%
17 Sig Sauer SG-552 Commando 4,978 28.7% 56.0% 15.3%
18 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
19 Benelli M3 Super 90 Combat 5,800 29.7% 57.3% 13.0%
20 M249 PARA Light Machine Gun 8,710 28.3% 57.1% 14.6%
21 FN P90 8,789 28.0% 56.4% 15.6%
22 Steyr Scout 14,262 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 18,187 26.2% 61.7% 12.2%
24 Colt M4A1 Carbine 51,787 27.8% 59.1% 13.0%
25 Kalashnikov AK-47 69,571 27.1% 59.1% 13.8%


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 / 347107 * 100, 2) AS kpercent,
			ROUND(headshots / 131477 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc