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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.86%
Members: 29 active members (75 total)
Avg. Member Points: 11,654
Total Kills: 348,004
Total Deaths: 299,325
Avg. Kills: 12,000
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 06:45:14h
Avg. Connection Time: 13d 10:09:50h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,656 46d 22:33:01h 69,099 19.86% 31,444 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.16% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,208 5d 23:44:19h 7,170 2.06% 4,825 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.11% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,777 3d 20:42:14h 4,029 1.16% 3,507 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.04% 15,207 1.15
12  Russian federationStanislav752 elorank 10,684 15d 18:55:35h 12,976 3.73% 12,408 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.75% 15,929 1.48
16  Russian federationShalfeYka elorank 10,199 2d 03:39:42h 1,889 0.54% 1,883 1.00
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
18  Russian federationBISON elorank 10,189 8d 18:11:16h 5,762 1.66% 8,673 0.66
19  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
20  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.51% 2,281 0.78


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) 47 times 188
6 Start Defusing the Bomb Without a Defuse Kit 64 times 0
7 Domination (4 kills) 448 times 1,344
8 Defuse the Bomb 487 times 4,870
9 Start Defusing the Bomb With a Defuse Kit 665 times 0
10 Revenge 1,648 times 4,944
11 Triple Kill (3 kills) 2,558 times 5,116
12 Domination 3,307 times 16,535
13 Plant the Bomb 4,741 times 47,410
14 Double Kill (2 kills) 10,661 times 10,661
15 Drop the Bomb 12,395 times -24790
16 Round MVP 16,766 times 0
17 Pick up the Bomb 22,567 times 45,134
18 Headshot 26,707 times 26,707




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,937 times -5811
2 Domination 2,645 times -13225




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,102 times 28.10%
2 Counter-Terrorist 2,370 times 21.47%




  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 61 0.02% 30 0.02% 0.49
5 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
6 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
7 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
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 1.50 113 0.03% 54 0.04% 0.48
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 642 0.18% 269 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
16 Sig Sauer P-228 1.50 1,227 0.35% 522 0.40% 0.43
17 FN P90 1.20 1,560 0.45% 694 0.53% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,608 0.46% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,227 0.64% 1,074 0.81% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,393 0.69% 397 0.30% 0.17
21 High Explosive Grenade 1.80 2,509 0.72% 0 0.00% 0.00
22 Steyr Scout 1.10 6,020 1.73% 3,803 2.88% 0.63
23 Desert Eagle .50AE 1.20 6,522 1.87% 3,643 2.76% 0.56
24 Colt M4A1 Carbine 1.00 11,497 3.30% 5,215 3.95% 0.45
25 Kalashnikov AK-47 1.00 18,916 5.44% 9,590 7.27% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death sort-ascending.gif Accuracy Damage per Hit Shots per Kill
1 Bundeswehr Advanced Combat Knife 11,817 1,119 57,763 2 384 1.6842 9.5% 51.6 30.8
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 Benelli M3 Super 90 Combat 2,903 5,854 84,354 269 642 2.1544 201.7% 14.4 4.5
4 Steyr Scout 48,058 14,478 1,385,912 3,796 6,014 2.4085 30.1% 95.7 8.0
5 Desert Eagle .50AE 71,057 18,332 952,646 3,677 6,562 4.3285 25.8% 52.0 10.8
6 Arctic Warfare Magnum (Police) 9,976 3,458 464,968 404 2,401 5.0335 34.7% 134.5 4.2
7 Glock 18 Select Fire 5,190 897 15,777 50 103 6.8667 17.3% 17.6 50.4
8 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
9 Kalashnikov AK-47 573,253 68,612 2,713,302 10,018 19,445 9.4210 12.0% 39.5 29.5
10 H&K USP .45 Tactical 5,138 922 18,930 67 130 10.0000 17.9% 20.5 39.5
11 FN P90 77,012 8,821 206,950 694 1,560 10.1961 11.5% 23.5 49.4
12 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
13 Colt M4A1 Carbine 396,041 50,737 1,615,092 5,212 11,494 11.2356 12.8% 31.8 34.5
14 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
15 M249 PARA Light Machine Gun 116,058 8,604 322,328 1,126 2,285 12.0263 7.4% 37.5 50.8
16 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
17 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
18 Sig Sauer P-228 33,275 5,154 158,748 522 1,227 22.3091 15.5% 30.8 27.1
19 Ingram MAC-10 4,819 813 14,680 53 110 27.5000 16.9% 18.1 43.8
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Sig Sauer SG-552 Commando 73,927 4,954 143,487 440 977 37.5769 6.7% 29.0 75.7
22 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
23 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
24 Steyr Tactical Machine Pistol 4,096 508 9,055 29 60 60.0000 12.4% 17.8 68.3
25 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3




  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 50 24.0% 68.0% 8.0%
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 396 27.5% 56.8% 15.7%
8 Galil 500 28.8% 55.6% 15.6%
9 Steyr Tactical Machine Pistol 508 26.0% 63.0% 11.0%
10 Ingram MAC-10 813 26.6% 58.1% 15.4%
11 Glock 18 Select Fire 897 26.4% 62.2% 11.4%
12 H&K MP5-Navy 900 28.4% 56.8% 14.8%
13 H&K USP .45 Tactical 922 24.7% 62.4% 12.9%
14 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
15 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
16 Arctic Warfare Magnum (Police) 3,458 32.5% 57.6% 9.9%
17 Sig Sauer SG-552 Commando 4,954 28.8% 55.9% 15.3%
18 Sig Sauer P-228 5,154 28.7% 57.7% 13.6%
19 Benelli M3 Super 90 Combat 5,854 29.6% 57.3% 13.0%
20 M249 PARA Light Machine Gun 8,604 28.4% 57.0% 14.7%
21 FN P90 8,821 27.9% 56.5% 15.6%
22 Steyr Scout 14,453 26.4% 65.0% 8.7%
23 Desert Eagle .50AE 18,332 26.2% 61.6% 12.2%
24 Colt M4A1 Carbine 50,737 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 68,612 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 / 348004 * 100, 2) AS kpercent,
			ROUND(headshots / 131945 * 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