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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.36%
Members: 30 active members (76 total)
Avg. Member Points: 11,712
Total Kills: 360,002
Total Deaths: 310,633
Avg. Kills: 12,000
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 17:27:30h
Avg. Connection Time: 13d 08:34:55h
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-descending.gif 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 federationdoc76 elorank 18,822 38d 01:47:03h 24,921 6.92% 24,192 1.03
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.53% 15,929 1.48
5  Russian federationLoony elorank 9,623 30d 14:02:34h 20,094 5.58% 22,309 0.90
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.35% 12,180 1.58
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.87% 15,207 1.15
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.49% 18,072 0.89
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.85% 13,411 1.03
10  Russian federationStanislav752 elorank 10,751 16d 12:57:17h 13,487 3.75% 13,150 1.03
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.21% 10,412 1.11
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 federationBISON elorank 11,011 9d 00:46:12h 5,995 1.67% 8,932 0.67
17  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.64% 7,910 0.75
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.39% 11,872 0.42
19  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.32% 6,249 0.76
20  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.24% 5,052 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Touch a Hostage 4 times 0
3 Mega Kill (6 kills) 5 times 25
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 45 times 180
6 Start Defusing the Bomb Without a Defuse Kit 58 times 0
7 Domination (4 kills) 412 times 1,236
8 Defuse the Bomb 487 times 4,870
9 Start Defusing the Bomb With a Defuse Kit 657 times 0
10 Revenge 1,627 times 4,881
11 Triple Kill (3 kills) 2,406 times 4,812
12 Domination 3,117 times 15,585
13 Plant the Bomb 4,278 times 42,780
14 Double Kill (2 kills) 10,252 times 10,252
15 Drop the Bomb 12,254 times -24508
16 Round MVP 16,227 times 0
17 Pick up the Bomb 21,687 times 43,374
18 Headshot 25,434 times 25,434




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,613 times -13065
2 Revenge 1,826 times -5478




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,358 times 21.94%
2 Terrorist 2,967 times 27.61%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,330 4.81% 8,858 6.38% 0.51
2 Colt M4A1 Carbine 1.00 10,903 3.03% 4,969 3.58% 0.46
3 Desert Eagle .50AE 1.20 6,681 1.86% 3,811 2.75% 0.57
4 Steyr Scout 1.10 6,090 1.69% 3,880 2.80% 0.64
5 High Explosive Grenade 1.80 2,375 0.66% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,347 0.65% 1,148 0.83% 0.49
7 Arctic Warfare Magnum (Police) 1.00 2,221 0.62% 374 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 1,612 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,303 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 1.20 565 0.16% 244 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 1.40 126 0.03% 66 0.05% 0.52
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 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
20 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
21 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
22 Steyr Tactical Machine Pistol 1.50 54 0.01% 26 0.02% 0.48
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 Kills per Death sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
2 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
3 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
4 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
5 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
6 Sig Sauer SG-552 Commando 66,978 4,443 128,212 388 881 38.3043 6.6% 28.9 76.0
7 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
8 Sig Sauer P-228 35,210 5,548 170,164 559 1,303 21.3607 15.8% 30.7 27.0
9 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
10 M249 PARA Light Machine Gun 119,039 8,882 331,534 1,149 2,348 13.3409 7.5% 37.3 50.7
11 Benelli/H&K M4 Super 90 XM1014 1,153 747 8,781 21 61 12.2000 64.8% 11.8 18.9
12 Colt M4A1 Carbine 377,215 48,094 1,531,673 4,966 10,900 11.3898 12.7% 31.8 34.6
13 FN P90 80,310 9,244 216,802 729 1,644 10.8158 11.5% 23.5 48.9
14 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
15 H&K USP .45 Tactical 4,858 916 18,559 65 125 9.6154 18.9% 20.3 38.9
16 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
17 Kalashnikov AK-47 558,886 62,404 2,437,948 8,850 17,319 8.8362 11.2% 39.1 32.3
18 Glock 18 Select Fire 5,089 877 14,859 44 95 6.3333 17.2% 16.9 53.6
19 Arctic Warfare Magnum (Police) 9,326 3,207 430,014 374 2,220 4.9115 34.4% 134.1 4.2
20 Desert Eagle .50AE 71,979 18,669 974,953 3,808 6,677 4.2556 25.9% 52.2 10.8
21 Steyr Scout 49,250 14,646 1,398,681 3,873 6,084 2.3159 29.7% 95.5 8.1
22 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
23 Benelli M3 Super 90 Combat 2,667 5,279 76,180 244 565 1.9618 197.9% 14.4 4.7
24 Bundeswehr Advanced Combat Knife 11,506 1,089 57,237 2 380 1.7273 9.5% 52.6 30.3
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 sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 62,404 27.3% 58.7% 14.0%
2 Colt M4A1 Carbine 48,094 27.8% 59.1% 13.1%
3 Desert Eagle .50AE 18,669 26.2% 61.9% 11.9%
4 Steyr Scout 14,621 26.4% 65.0% 8.7%
5 FN P90 9,244 28.0% 56.3% 15.7%
6 M249 PARA Light Machine Gun 8,882 28.0% 57.1% 14.9%
7 Sig Sauer P-228 5,548 28.7% 57.6% 13.6%
8 Benelli M3 Super 90 Combat 5,279 29.9% 57.2% 12.9%
9 Sig Sauer SG-552 Commando 4,443 29.2% 55.5% 15.3%
10 Arctic Warfare Magnum (Police) 3,207 32.8% 57.3% 9.9%
11 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
12 H&K USP .45 Tactical 916 25.5% 61.5% 13.0%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 Glock 18 Select Fire 877 26.7% 61.8% 11.5%
15 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
16 Ingram MAC-10 478 25.5% 60.5% 14.0%
17 Galil 461 28.9% 56.4% 14.8%
18 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
19 Steyr Aug 354 27.4% 56.2% 16.4%
20 FN Five-Seven 335 23.6% 62.7% 13.7%
21 H&K UMP45 260 25.0% 54.2% 20.8%
22 Fusil Automatique 192 23.4% 62.5% 14.1%
23 Bundeswehr Advanced Combat Knife 52 25.0% 65.4% 9.6%
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 / 360002 * 100, 2) AS kpercent,
			ROUND(headshots / 138746 * 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