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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 82.51%
Members: 31 active members (74 total)
Avg. Member Points: 11,376
Total Kills: 369,149
Total Deaths: 298,647
Avg. Kills: 11,908
Kills per Death: 1.24
Kills per Minute: 0.65
Total Connection Time: 397d 07:32:21h
Avg. Connection Time: 12d 19:35:52h
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 34,741 46d 05:54:14h 68,110 18.45% 31,030 2.19
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.92% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.75% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.81% 16,883 1.93
5  Russian federationDiM4iK elorank 15,172 16d 06:10:18h 18,964 5.14% 11,998 1.58
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.13% 10,412 1.11
7  Ukrainegusenica elorank 14,427 5d 05:59:52h 5,323 1.44% 4,224 1.26
8  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 11.34% 38,440 1.09
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
10  Russian federationубивашка 62 elorank 12,800 3d 03:58:16h 3,667 0.99% 2,687 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 4.74% 15,149 1.15
13  Russian federationИлья190RUS elorank 11,708 3d 02:21:17h 3,271 0.89% 2,826 1.16
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
16  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 10,168 15d 00:30:09h 10,468 2.84% 10,929 0.96
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,875 3d 02:53:32h 2,974 0.81% 3,112 0.96
18  Russian federationavpvovan elorank 9,793 5d 19:32:04h 4,423 1.20% 4,992 0.89
19  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.12% 10,922 1.05
20  Russian federationLoony elorank 9,316 30d 04:48:33h 19,878 5.38% 22,033 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,787 times -25574
2 Kill a Hostage 21 times -315
3 Round MVP 19,158 times 0
4 Start Defusing the Bomb With a Defuse Kit 835 times 0
5 Start Defusing the Bomb Without a Defuse Kit 100 times 0
6 Touch a Hostage 18 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 64 times 256
10 Domination (4 kills) 585 times 1,755
11 Revenge 1,558 times 4,674
12 Defuse the Bomb 642 times 6,420
13 Triple Kill (3 kills) 3,229 times 6,458
14 Double Kill (2 kills) 12,433 times 12,433
15 Domination 4,001 times 20,005
16 Headshot 31,375 times 31,375
17 Pick up the Bomb 24,031 times 48,062
18 Plant the Bomb 5,376 times 53,760




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,648 times -13240
2 Revenge 2,283 times -6849




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,655 times 25.32%
2 Counter-Terrorist 3,254 times 22.54%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,595 6.66% 12,171 8.83% 0.49
2 Colt M4A1 Carbine 1.00 15,090 4.09% 6,819 4.95% 0.45
3 Desert Eagle .50AE 1.20 6,580 1.78% 3,337 2.42% 0.51
4 Steyr Scout 1.10 5,549 1.50% 3,316 2.41% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,031 0.82% 505 0.37% 0.17
6 High Explosive Grenade 1.80 2,825 0.77% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,868 0.51% 980 0.71% 0.52
8 Bundeswehr Advanced Combat Knife 2.00 1,695 0.46% 3 0.00% 0.00
9 FN P90 1.20 1,332 0.36% 571 0.41% 0.43
10 Sig Sauer P-228 1.50 1,128 0.31% 440 0.32% 0.39
11 Sig Sauer SG-552 Commando 1.00 1,077 0.29% 486 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 899 0.24% 342 0.25% 0.38
13 Dual Beretta 96G Elite 1.40 162 0.04% 74 0.05% 0.46
14 H&K USP .45 Tactical 1.40 159 0.04% 83 0.06% 0.52
15 Ingram MAC-10 1.50 127 0.03% 61 0.04% 0.48
16 Glock 18 Select Fire 1.40 116 0.03% 49 0.04% 0.42
17 Steyr Aug 1.00 115 0.03% 48 0.03% 0.42
18 H&K MP5-Navy 1.20 99 0.03% 43 0.03% 0.43
19 Steyr Tactical Machine Pistol 1.50 96 0.03% 49 0.04% 0.51
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 30 0.02% 0.37
21 Galil 1.10 64 0.02% 24 0.02% 0.38
22 FN Five-Seven 1.50 46 0.01% 24 0.02% 0.52
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-47 697,455 90,066 3,623,474 13,486 26,248 9.1202 12.9% 40.2 26.6
2 Colt M4A1 Carbine 478,082 64,616 2,082,361 6,816 15,079 11.4931 13.5% 32.2 31.7
3 Desert Eagle .50AE 69,342 19,106 992,142 3,661 6,955 4.7313 27.6% 51.9 10.0
4 Steyr Scout 40,089 13,705 1,315,223 3,365 5,634 2.7988 34.2% 96.0 7.1
5 Arctic Warfare Magnum (Police) 11,911 4,296 587,502 512 3,039 5.4658 36.1% 136.8 3.9
6 M249 PARA Light Machine Gun 82,983 7,063 284,102 1,094 2,017 15.3969 8.5% 40.2 41.1
7 FN P90 64,042 7,494 174,509 571 1,332 9.0612 11.7% 23.3 48.1
8 Sig Sauer P-228 28,773 4,638 141,050 440 1,128 23.0204 16.1% 30.4 25.5
9 Sig Sauer SG-552 Commando 76,770 5,401 159,708 499 1,092 36.4000 7.0% 29.6 70.3
10 Benelli M3 Super 90 Combat 3,851 8,054 115,268 341 898 2.5657 209.1% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 18,283 1,353 73,591 3 504 2.5327 7.4% 54.4 36.3
12 Dual Beretta 96G Elite 4,252 806 22,440 74 162 54.0000 19.0% 27.8 26.2
13 H&K USP .45 Tactical 6,046 1,135 23,185 82 158 7.5238 18.8% 20.4 38.3
14 Ingram MAC-10 5,467 935 16,766 60 124 24.8000 17.1% 17.9 44.1
15 Glock 18 Select Fire 5,327 1,021 17,197 48 114 7.6000 19.2% 16.8 46.7
16 Steyr Aug 3,747 578 16,908 47 113 14.1250 15.4% 29.3 33.2
17 H&K MP5-Navy 4,883 862 14,384 42 97 9.7000 17.7% 16.7 50.3
18 Steyr Tactical Machine Pistol 4,763 752 13,730 49 96 48.0000 15.8% 18.3 49.6
19 Benelli/H&K M4 Super 90 XM1014 1,449 985 11,542 30 81 16.2000 68.0% 11.7 17.9
20 Galil 2,436 293 8,853 24 64 64.0000 12.0% 30.2 38.1
21 FN Five-Seven 1,173 286 7,742 32 57 19.0000 24.4% 27.1 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 sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 90,066 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 64,616 27.3% 59.8% 13.0%
3 Desert Eagle .50AE 19,106 26.0% 61.6% 12.4%
4 Steyr Scout 13,705 26.4% 65.3% 8.3%
5 Benelli M3 Super 90 Combat 8,054 28.4% 58.2% 13.4%
6 FN P90 7,494 28.5% 56.0% 15.4%
7 M249 PARA Light Machine Gun 7,063 27.3% 59.3% 13.4%
8 Sig Sauer SG-552 Commando 5,401 28.5% 56.5% 15.1%
9 Sig Sauer P-228 4,638 29.3% 56.8% 13.9%
10 Arctic Warfare Magnum (Police) 4,296 31.8% 58.8% 9.3%
11 H&K USP .45 Tactical 1,135 25.9% 61.8% 12.3%
12 Glock 18 Select Fire 1,021 26.4% 60.3% 13.2%
13 Benelli/H&K M4 Super 90 XM1014 985 27.0% 56.4% 16.5%
14 Ingram MAC-10 935 26.7% 59.7% 13.6%
15 H&K MP5-Navy 862 29.0% 56.3% 14.7%
16 Dual Beretta 96G Elite 806 24.6% 61.5% 13.9%
17 Steyr Tactical Machine Pistol 752 24.5% 64.5% 11.0%
18 Steyr Aug 578 27.7% 56.1% 16.3%
19 Galil 293 31.7% 50.2% 18.1%
20 FN Five-Seven 286 19.9% 66.4% 13.6%
21 H&K UMP45 281 26.3% 53.7% 19.9%
22 Fusil Automatique 175 21.7% 62.3% 16.0%
23 Bundeswehr Advanced Combat Knife 67 19.4% 76.1% 4.5%
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 / 369149 * 100, 2) AS kpercent,
			ROUND(headshots / 137825 * 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