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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.23%
Members: 26 active members (75 total)
Avg. Member Points: 11,814
Total Kills: 303,577
Total Deaths: 261,456
Avg. Kills: 11,676
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 335d 06:52:53h
Avg. Connection Time: 12d 21:29:43h
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 22.80% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.89% 38,713 1.09
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.21% 24,192 1.03
4  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 6.34% 12,180 1.58
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.78% 15,207 1.15
6  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.32% 18,072 0.89
7  Ukrainerimuru elorank 10,904 14d 06:21:03h 13,939 4.59% 13,480 1.03
8  Russian federationStanislav752 elorank 10,094 17d 03:42:55h 13,937 4.59% 13,621 1.02
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.81% 10,412 1.11
10  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.55% 5,572 1.93
11  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 3.05% 14,654 0.63
12  Russian federationубивашка 62 elorank 17,685 6d 12:41:37h 7,815 2.57% 5,330 1.47
13  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.97% 8,932 0.67
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.95% 7,910 0.75
15  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,434 13d 21:02:15h 5,015 1.65% 11,939 0.42
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.57% 6,252 0.76
17  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.48% 5,055 0.89
18  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.38% 3,648 1.15
19  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,555 3d 22:07:29h 3,816 1.26% 3,940 0.97
20  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 1.02% 1,465 2.12


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 11,182 times -22364
2 Kill a Hostage 18 times -270
3 Round MVP 14,622 times 0
4 Start Defusing the Bomb With a Defuse Kit 550 times 0
5 Start Defusing the Bomb Without a Defuse Kit 56 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 3 times 15
9 Rampage (5 kills) 41 times 164
10 Domination (4 kills) 368 times 1,104
11 Triple Kill (3 kills) 2,162 times 4,324
12 Revenge 1,486 times 4,458
13 Defuse the Bomb 457 times 4,570
14 Double Kill (2 kills) 9,223 times 9,223
15 Domination 2,778 times 13,890
16 Headshot 22,954 times 22,954
17 Plant the Bomb 3,527 times 35,270
18 Pick up the Bomb 19,327 times 38,654




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,336 times -11680
2 Revenge 1,639 times -4917




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,636 times 27.09%
2 Counter-Terrorist 2,183 times 22.43%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 14,873 4.90% 7,758 6.86% 0.52
2 Colt M4A1 Carbine 1.00 10,262 3.38% 4,722 4.18% 0.46
3 Desert Eagle .50AE 1.20 5,876 1.94% 3,369 2.98% 0.57
4 Steyr Scout 1.10 5,383 1.77% 3,385 2.99% 0.63
5 M249 PARA Light Machine Gun 1.20 2,205 0.73% 1,047 0.93% 0.47
6 High Explosive Grenade 1.80 2,150 0.71% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 2,024 0.67% 344 0.30% 0.17
8 FN P90 1.20 1,784 0.59% 784 0.69% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,491 0.49% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,304 0.43% 559 0.49% 0.43
11 Sig Sauer SG-552 Commando 1.00 803 0.26% 349 0.31% 0.43
12 Benelli M3 Super 90 Combat 1.20 518 0.17% 227 0.20% 0.44
13 Dual Beretta 96G Elite 1.40 204 0.07% 96 0.08% 0.47
14 H&K USP .45 Tactical 1.40 123 0.04% 64 0.06% 0.52
15 Galil 1.10 111 0.04% 45 0.04% 0.41
16 Glock 18 Select Fire 1.40 81 0.03% 39 0.03% 0.48
17 Ingram MAC-10 1.50 66 0.02% 27 0.02% 0.41
18 Steyr Aug 1.00 64 0.02% 31 0.03% 0.48
19 FN Five-Seven 1.50 60 0.02% 30 0.03% 0.50
20 Steyr Tactical Machine Pistol 1.50 49 0.02% 22 0.02% 0.45
21 H&K MP5-Navy 1.20 47 0.02% 20 0.02% 0.43
22 Fusil Automatique 1.00 47 0.02% 21 0.02% 0.45
23 Benelli/H&K M4 Super 90 XM1014 1.10 42 0.01% 14 0.01% 0.33
24 H&K UMP45 1.20 28 0.01% 14 0.01% 0.50
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 Accuracy Damage per Hit Shots per Kill sort-descending.gif
1 Sig Sauer SG-552 Commando 60,325 4,062 117,512 349 804 34.9565 6.7% 28.9 75.0
2 H&K UMP45 1,772 221 4,457 14 27 13.5000 12.5% 20.2 65.6
3 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
4 Glock 18 Select Fire 4,671 745 12,663 38 79 5.2667 15.9% 17.0 59.1
5 M249 PARA Light Machine Gun 112,599 8,395 309,061 1,048 2,206 12.9006 7.5% 36.8 51.0
6 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
7 FN P90 84,235 10,064 234,776 784 1,784 10.5562 11.9% 23.3 47.2
8 Steyr Aug 2,582 344 10,458 32 65 8.1250 13.3% 30.4 39.7
9 H&K USP .45 Tactical 4,743 903 18,118 63 122 8.7143 19.0% 20.1 38.9
10 Ingram MAC-10 2,377 425 7,582 26 63 63.0000 17.9% 17.8 37.7
11 Colt M4A1 Carbine 357,218 45,320 1,441,516 4,719 10,259 11.9291 12.7% 31.8 34.8
12 Kalashnikov AK-47 505,934 53,728 2,097,557 7,750 14,863 8.8313 10.6% 39.0 34.0
13 Sig Sauer P-228 35,339 5,590 170,981 559 1,304 21.0323 15.8% 30.6 27.1
14 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
15 Fusil Automatique 1,142 191 6,089 20 45 45.0000 16.7% 31.9 25.4
16 Dual Beretta 96G Elite 5,155 1,015 28,387 96 204 102.0000 19.7% 28.0 25.3
17 Bundeswehr Advanced Combat Knife 9,267 1,042 55,529 2 368 1.6502 11.2% 53.3 25.2
18 FN Five-Seven 1,363 337 9,023 31 61 30.5000 24.7% 26.8 22.3
19 Benelli/H&K M4 Super 90 XM1014 826 525 6,089 14 42 8.4000 63.6% 11.6 19.7
20 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
21 Desert Eagle .50AE 63,904 16,286 854,228 3,366 5,872 4.0977 25.5% 52.5 10.9
22 Steyr Scout 44,524 13,159 1,233,891 3,378 5,377 2.2330 29.6% 93.8 8.3
23 Benelli M3 Super 90 Combat 2,480 4,927 71,080 227 518 1.8304 198.7% 14.4 4.8
24 Arctic Warfare Magnum (Police) 8,599 2,933 393,213 344 2,025 4.9270 34.1% 134.1 4.2
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 53,728 27.2% 58.8% 14.1%
2 Colt M4A1 Carbine 45,320 27.9% 59.0% 13.1%
3 Desert Eagle .50AE 16,286 26.1% 61.9% 12.0%
4 Steyr Scout 13,134 26.7% 64.4% 8.9%
5 FN P90 10,064 28.1% 56.1% 15.8%
6 M249 PARA Light Machine Gun 8,395 28.3% 56.6% 15.1%
7 Sig Sauer P-228 5,590 28.8% 57.6% 13.7%
8 Benelli M3 Super 90 Combat 4,927 29.5% 57.5% 13.0%
9 Sig Sauer SG-552 Commando 4,062 29.5% 55.7% 14.8%
10 Arctic Warfare Magnum (Police) 2,933 33.0% 57.0% 10.0%
11 Dual Beretta 96G Elite 1,015 25.0% 61.2% 13.8%
12 H&K USP .45 Tactical 903 25.8% 61.4% 12.8%
13 Glock 18 Select Fire 745 26.0% 62.7% 11.3%
14 Benelli/H&K M4 Super 90 XM1014 525 29.9% 52.0% 18.1%
15 H&K MP5-Navy 476 27.9% 56.7% 15.3%
16 Galil 452 27.2% 58.2% 14.6%
17 Ingram MAC-10 425 25.9% 60.7% 13.4%
18 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
19 Steyr Aug 344 28.5% 57.3% 14.2%
20 FN Five-Seven 337 23.7% 61.7% 14.5%
21 H&K UMP45 221 24.4% 53.8% 21.7%
22 Fusil Automatique 191 23.6% 62.8% 13.6%
23 Bundeswehr Advanced Combat Knife 53 26.4% 67.9% 5.7%
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 / 303577 * 100, 2) AS kpercent,
			ROUND(headshots / 113101 * 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