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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 70.93%
Members: 29 active members (75 total)
Avg. Member Points: 11,758
Total Kills: 350,295
Total Deaths: 301,713
Avg. Kills: 12,079
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 19:24:11h
Avg. Connection Time: 13d 12:15:19h
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 19.76% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.03% 38,713 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.49% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.71% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.01% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.11% 24,192 1.03
7  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 5.74% 22,358 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.61% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
10  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
11  Russian federationStanislav752 elorank 10,271 16d 15:11:05h 13,559 3.87% 13,224 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.64% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.36% 6,249 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
17  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,894 3d 22:56:05h 4,123 1.18% 3,598 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Pick up the Bomb 21,543 times 43,086
2 Plant the Bomb 4,216 times 42,160
3 Headshot 24,767 times 24,767
4 Domination 3,076 times 15,380
5 Double Kill (2 kills) 10,079 times 10,079
6 Defuse the Bomb 479 times 4,790
7 Revenge 1,590 times 4,770
8 Triple Kill (3 kills) 2,353 times 4,706
9 Domination (4 kills) 398 times 1,194
10 Rampage (5 kills) 44 times 176
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 58 times 0
15 Start Defusing the Bomb With a Defuse Kit 649 times 0
16 Round MVP 15,967 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,190 times -24380




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,536 times -12680
2 Revenge 1,807 times -5421




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,301 times 21.79%
2 Terrorist 2,935 times 27.79%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,135 4.89% 8,778 6.60% 0.51
2 Colt M4A1 Carbine 1.00 11,057 3.16% 5,060 3.80% 0.46
3 Desert Eagle .50AE 1.20 6,244 1.78% 3,506 2.64% 0.56
4 Steyr Scout 1.10 5,728 1.64% 3,603 2.71% 0.63
5 High Explosive Grenade 1.80 2,341 0.67% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,221 0.63% 1,060 0.80% 0.48
7 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
8 FN P90 1.20 1,693 0.48% 744 0.56% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,627 0.46% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,302 0.37% 558 0.42% 0.43
11 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
12 Benelli M3 Super 90 Combat 1.20 563 0.16% 240 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 219 0.06% 102 0.08% 0.47
14 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
15 Galil 1.10 113 0.03% 47 0.04% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
18 Ingram MAC-10 1.50 79 0.02% 35 0.03% 0.44
19 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
20 FN Five-Seven 1.50 63 0.02% 31 0.02% 0.49
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 0.02% 26 0.02% 0.48
23 Fusil Automatique 1.00 43 0.01% 20 0.02% 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 sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
2 H&K USP .45 Tactical 4,965 923 18,721 66 127 9.7692 18.6% 20.3 39.1
3 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
4 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
5 Sig Sauer SG-552 Commando 63,533 4,289 123,679 371 856 37.2174 6.8% 28.8 74.2
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 46,714 13,890 1,314,787 3,596 5,722 2.3138 29.7% 94.7 8.2
8 FN P90 82,046 9,549 223,227 744 1,693 10.9935 11.6% 23.4 48.5
9 Sig Sauer P-228 35,239 5,553 170,234 558 1,302 21.3443 15.8% 30.7 27.1
10 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
11 Ingram MAC-10 2,749 484 9,012 34 76 76.0000 17.6% 18.6 36.2
12 Colt M4A1 Carbine 380,134 48,749 1,552,815 5,057 11,054 11.5146 12.8% 31.9 34.4
13 Benelli M3 Super 90 Combat 2,681 5,356 76,486 240 563 1.9150 199.8% 14.3 4.8
14 M249 PARA Light Machine Gun 115,991 8,411 311,635 1,061 2,222 12.6971 7.3% 37.1 52.2
15 Bundeswehr Advanced Combat Knife 11,590 1,168 62,253 2 407 1.6345 10.1% 53.3 28.5
16 Glock 18 Select Fire 5,079 856 14,561 43 93 6.2000 16.9% 17.0 54.6
17 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
18 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
19 FN Five-Seven 1,374 341 9,175 32 64 32.0000 24.8% 26.9 21.5
20 Fusil Automatique 1,161 192 6,104 19 41 41.0000 16.5% 31.8 28.3
21 Dual Beretta 96G Elite 5,459 1,082 30,294 102 219 73.0000 19.8% 28.0 24.9
22 Desert Eagle .50AE 68,174 17,468 906,157 3,503 6,240 4.1907 25.6% 51.9 10.9
23 Arctic Warfare Magnum (Police) 9,257 3,195 428,227 372 2,209 4.9308 34.5% 134.0 4.2
24 Steyr Aug 2,730 364 10,917 34 68 8.5000 13.3% 30.0 40.1
25 Kalashnikov AK-47 553,645 61,623 2,410,224 8,770 17,124 8.8864 11.1% 39.1 32.3




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
2 H&K USP .45 Tactical 923 25.1% 61.6% 13.2%
3 H&K UMP45 260 25.0% 54.2% 20.8%
4 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
5 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 13,865 26.5% 64.7% 8.8%
8 FN P90 9,549 28.1% 56.1% 15.8%
9 Sig Sauer P-228 5,553 28.8% 57.6% 13.6%
10 H&K MP5-Navy 915 28.3% 57.0% 14.6%
11 Ingram MAC-10 484 25.4% 60.5% 14.0%
12 Colt M4A1 Carbine 48,749 27.8% 59.1% 13.0%
13 Benelli M3 Super 90 Combat 5,356 30.1% 57.0% 12.9%
14 M249 PARA Light Machine Gun 8,411 28.5% 56.5% 15.0%
15 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
16 Glock 18 Select Fire 856 26.3% 61.9% 11.8%
17 Galil 461 28.9% 56.4% 14.8%
18 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
19 FN Five-Seven 341 23.2% 62.8% 14.1%
20 Fusil Automatique 192 23.4% 62.5% 14.1%
21 Dual Beretta 96G Elite 1,082 25.1% 61.3% 13.6%
22 Desert Eagle .50AE 17,468 26.5% 61.4% 12.1%
23 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
24 Steyr Aug 364 28.0% 55.8% 16.2%
25 Kalashnikov AK-47 61,623 27.3% 58.7% 14.0%


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 / 350295 * 100, 2) AS kpercent,
			ROUND(headshots / 132987 * 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