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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.80%
Members: 31 active members (74 total)
Avg. Member Points: 11,471
Total Kills: 371,719
Total Deaths: 300,803
Avg. Kills: 11,991
Kills per Death: 1.24
Kills per Minute: 0.65
Total Connection Time: 400d 01:01:32h
Avg. Connection Time: 12d 21:42:37h
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 34,405 46d 08:53:52h 68,271 18.37% 31,102 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.90% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.70% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.75% 16,883 1.93
5  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.17% 12,150 1.58
6  Ukrainegusenica elorank 14,747 6d 03:25:05h 6,275 1.69% 4,904 1.28
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.11% 10,412 1.11
8  Russian federationKAZANTIP elorank 13,137 49d 17:14:54h 41,889 11.27% 38,446 1.09
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationубивашка 62 elorank 12,976 3d 06:22:57h 3,761 1.01% 2,759 1.36
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
12  Russian federationAnapskiy elorank 12,185 19d 03:44:27h 17,491 4.71% 15,149 1.15
13  Russian federationИлья190RUS elorank 11,987 3d 04:34:49h 3,375 0.91% 2,911 1.16
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.73% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.32% 15,929 1.48
16  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 10,385 15d 10:24:01h 10,782 2.90% 11,224 0.96
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,876 3d 03:41:49h 2,999 0.81% 3,155 0.95
18  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.19% 4,998 0.89
19  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.09% 10,922 1.05
20  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.36% 22,106 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,510 times 55,100
2 Pick up the Bomb 24,585 times 49,170
3 Headshot 31,825 times 31,825
4 Domination 4,039 times 20,195
5 Double Kill (2 kills) 12,581 times 12,581
6 Triple Kill (3 kills) 3,246 times 6,492
7 Defuse the Bomb 638 times 6,380
8 Revenge 1,587 times 4,761
9 Domination (4 kills) 590 times 1,770
10 Rampage (5 kills) 66 times 264
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 18 times 0
14 Start Defusing the Bomb Without a Defuse Kit 102 times 0
15 Start Defusing the Bomb With a Defuse Kit 835 times 0
16 Round MVP 19,423 times 0
17 Kill a Hostage 21 times -315
18 Drop the Bomb 12,990 times -25980




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,682 times -13410
2 Revenge 2,322 times -6966




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,723 times 25.56%
2 Counter-Terrorist 3,248 times 22.30%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,648 6.63% 12,255 8.81% 0.50
2 Colt M4A1 Carbine 1.00 15,080 4.06% 6,809 4.90% 0.45
3 Desert Eagle .50AE 1.20 6,796 1.83% 3,495 2.51% 0.51
4 Steyr Scout 1.10 5,725 1.54% 3,436 2.47% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,103 0.83% 517 0.37% 0.17
6 High Explosive Grenade 1.80 2,834 0.76% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,864 0.50% 978 0.70% 0.52
8 Bundeswehr Advanced Combat Knife 2.00 1,723 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,502 0.40% 653 0.47% 0.43
10 Sig Sauer P-228 1.50 1,138 0.31% 447 0.32% 0.39
11 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 473 0.34% 0.44
12 Benelli M3 Super 90 Combat 1.20 919 0.25% 353 0.25% 0.38
13 Dual Beretta 96G Elite 1.40 168 0.05% 78 0.06% 0.46
14 H&K USP .45 Tactical 1.40 160 0.04% 82 0.06% 0.51
15 Ingram MAC-10 1.50 129 0.03% 63 0.05% 0.49
16 Glock 18 Select Fire 1.40 120 0.03% 52 0.04% 0.43
17 Steyr Aug 1.00 111 0.03% 46 0.03% 0.41
18 H&K MP5-Navy 1.20 101 0.03% 44 0.03% 0.44
19 Steyr Tactical Machine Pistol 1.50 87 0.02% 44 0.03% 0.51
20 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 29 0.02% 0.36
21 Galil 1.10 66 0.02% 26 0.02% 0.39
22 FN Five-Seven 1.50 43 0.01% 23 0.02% 0.53
23 H&K UMP45 1.20 37 0.01% 16 0.01% 0.43
24 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 675,652 89,588 3,623,099 13,570 26,300 9.1766 13.3% 40.4 25.7
2 Colt M4A1 Carbine 477,296 64,615 2,079,604 6,806 15,069 11.4768 13.5% 32.2 31.7
3 Desert Eagle .50AE 71,161 19,637 1,024,476 3,819 7,171 4.7240 27.6% 52.2 9.9
4 Steyr Scout 41,657 14,021 1,353,075 3,485 5,810 2.7419 33.7% 96.5 7.2
5 Arctic Warfare Magnum (Police) 12,264 4,405 601,282 524 3,111 5.4965 35.9% 136.5 3.9
6 M249 PARA Light Machine Gun 82,397 7,054 283,847 1,092 2,013 15.3664 8.6% 40.2 40.9
7 FN P90 69,600 8,372 196,236 653 1,502 9.7532 12.0% 23.4 46.3
8 Sig Sauer P-228 28,556 4,658 142,626 447 1,138 23.2245 16.3% 30.6 25.1
9 Sig Sauer SG-552 Commando 76,747 5,385 157,728 486 1,082 36.0667 7.0% 29.3 70.9
10 Benelli M3 Super 90 Combat 3,919 8,226 117,970 352 918 2.6006 209.9% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 19,043 1,368 73,979 2 502 2.3458 7.2% 54.1 37.9
12 Dual Beretta 96G Elite 4,324 822 22,904 78 168 56.0000 19.0% 27.9 25.7
13 H&K USP .45 Tactical 6,044 1,137 23,280 81 159 7.5714 18.8% 20.5 38.0
14 Ingram MAC-10 5,533 946 17,109 62 126 25.2000 17.1% 18.1 43.9
15 Glock 18 Select Fire 5,492 1,062 17,996 51 118 7.8667 19.3% 16.9 46.5
16 Steyr Aug 3,518 558 16,312 45 109 13.6250 15.9% 29.2 32.3
17 H&K MP5-Navy 4,967 880 14,605 43 99 9.9000 17.7% 16.6 50.2
18 Steyr Tactical Machine Pistol 4,625 701 12,475 44 87 43.5000 15.2% 17.8 53.2
19 Benelli/H&K M4 Super 90 XM1014 1,444 973 11,459 29 80 13.3333 67.4% 11.8 18.1
20 Galil 2,484 296 9,122 26 66 66.0000 11.9% 30.8 37.6
21 FN Five-Seven 1,111 282 7,529 31 54 18.0000 25.4% 26.7 20.6
22 H&K UMP45 2,077 281 5,624 16 36 18.0000 13.5% 20.0 57.7
23 Fusil Automatique 925 175 5,359 16 35 35.0000 18.9% 30.6 26.4
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3




  Weapon Targets *

Rank Weapon Hits Left Middle Right sort-descending.gif
1 H&K UMP45 281 26.3% 53.7% 19.9%
2 Galil 296 31.4% 50.7% 17.9%
3 Benelli/H&K M4 Super 90 XM1014 973 26.9% 56.4% 16.6%
4 Steyr Aug 558 27.1% 56.5% 16.5%
5 Fusil Automatique 175 21.7% 62.3% 16.0%
6 FN P90 8,372 28.3% 56.2% 15.5%
7 Sig Sauer SG-552 Commando 5,385 28.5% 56.3% 15.1%
8 H&K MP5-Navy 880 29.0% 56.3% 14.8%
9 Dual Beretta 96G Elite 822 24.6% 61.3% 14.1%
10 Ingram MAC-10 946 26.4% 59.7% 13.8%
11 Sig Sauer P-228 4,658 29.3% 57.0% 13.7%
12 FN Five-Seven 282 19.5% 67.0% 13.5%
13 Kalashnikov AK-47 89,588 26.7% 59.9% 13.4%
14 M249 PARA Light Machine Gun 7,054 27.5% 59.2% 13.3%
15 Benelli M3 Super 90 Combat 8,226 28.4% 58.4% 13.2%
16 Colt M4A1 Carbine 64,615 27.3% 59.7% 13.0%
17 Glock 18 Select Fire 1,062 26.2% 60.8% 13.0%
18 Desert Eagle .50AE 19,637 26.1% 61.6% 12.4%
19 H&K USP .45 Tactical 1,137 25.7% 62.0% 12.3%
20 Steyr Tactical Machine Pistol 701 25.0% 64.5% 10.6%
21 Arctic Warfare Magnum (Police) 4,405 31.9% 58.7% 9.4%
22 Steyr Scout 14,021 26.4% 65.4% 8.2%
23 Bundeswehr Advanced Combat Knife 62 17.7% 77.4% 4.8%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 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 / 371719 * 100, 2) AS kpercent,
			ROUND(headshots / 139038 * 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