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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 82.45%
Members: 31 active members (74 total)
Avg. Member Points: 11,377
Total Kills: 369,116
Total Deaths: 298,630
Avg. Kills: 11,907
Kills per Death: 1.24
Kills per Minute: 0.65
Total Connection Time: 397d 07:07:17h
Avg. Connection Time: 12d 19:35:04h
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 05:59:28h 5,323 1.44% 4,224 1.26
8  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 11.35% 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 11,772 3d 02:05:23h 3,251 0.88% 2,816 1.15
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 5.39% 22,033 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,376 times 53,760
2 Pick up the Bomb 24,031 times 48,062
3 Headshot 31,359 times 31,359
4 Domination 4,000 times 20,000
5 Double Kill (2 kills) 12,428 times 12,428
6 Triple Kill (3 kills) 3,227 times 6,454
7 Defuse the Bomb 642 times 6,420
8 Revenge 1,557 times 4,671
9 Domination (4 kills) 585 times 1,755
10 Rampage (5 kills) 64 times 256
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 100 times 0
15 Start Defusing the Bomb With a Defuse Kit 835 times 0
16 Round MVP 19,145 times 0
17 Kill a Hostage 21 times -315
18 Drop the Bomb 12,787 times -25574




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,647 times -13235
2 Revenge 2,282 times -6846




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,654 times 25.32%
2 Counter-Terrorist 3,251 times 22.53%




  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 35 0.01% 15 0.01% 0.43
3 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
4 FN Five-Seven 1.50 43 0.01% 21 0.02% 0.49
5 Galil 1.10 64 0.02% 24 0.02% 0.38
6 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 30 0.02% 0.37
7 Steyr Tactical Machine Pistol 1.50 96 0.03% 49 0.04% 0.51
8 H&K MP5-Navy 1.20 99 0.03% 43 0.03% 0.43
9 Steyr Aug 1.00 115 0.03% 48 0.03% 0.42
10 Glock 18 Select Fire 1.40 116 0.03% 49 0.04% 0.42
11 Ingram MAC-10 1.50 127 0.03% 61 0.04% 0.48
12 H&K USP .45 Tactical 1.40 159 0.04% 83 0.06% 0.52
13 Dual Beretta 96G Elite 1.40 162 0.04% 74 0.05% 0.46
14 Benelli M3 Super 90 Combat 1.20 899 0.24% 342 0.25% 0.38
15 Sig Sauer SG-552 Commando 1.00 1,077 0.29% 486 0.35% 0.45
16 Sig Sauer P-228 1.50 1,128 0.31% 440 0.32% 0.39
17 FN P90 1.20 1,332 0.36% 571 0.41% 0.43
18 Bundeswehr Advanced Combat Knife 2.00 1,695 0.46% 3 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 1,868 0.51% 980 0.71% 0.52
20 High Explosive Grenade 1.80 2,825 0.77% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 3,031 0.82% 505 0.37% 0.17
22 Steyr Scout 1.10 5,544 1.50% 3,311 2.40% 0.60
23 Desert Eagle .50AE 1.20 6,574 1.78% 3,335 2.42% 0.51
24 Colt M4A1 Carbine 1.00 15,075 4.08% 6,814 4.94% 0.45
25 Kalashnikov AK-47 1.00 24,593 6.66% 12,171 8.83% 0.49




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Fusil Automatique 925 175 5,359 16 35 35.0000 18.9% 30.6 26.4
3 H&K UMP45 2,016 270 5,336 15 34 17.0000 13.4% 19.8 59.3
4 FN Five-Seven 1,143 275 7,297 29 54 18.0000 24.1% 26.5 21.2
5 Galil 2,436 293 8,853 24 64 64.0000 12.0% 30.2 38.1
6 Steyr Aug 3,747 578 16,908 47 113 14.1250 15.4% 29.3 33.2
7 Steyr Tactical Machine Pistol 4,763 752 13,730 49 96 48.0000 15.8% 18.3 49.6
8 Dual Beretta 96G Elite 4,252 806 22,440 74 162 54.0000 19.0% 27.8 26.2
9 H&K MP5-Navy 4,883 862 14,384 42 97 9.7000 17.7% 16.7 50.3
10 Ingram MAC-10 5,467 935 16,766 60 124 24.8000 17.1% 17.9 44.1
11 Benelli/H&K M4 Super 90 XM1014 1,449 985 11,542 30 81 16.2000 68.0% 11.7 17.9
12 Glock 18 Select Fire 5,327 1,021 17,197 48 114 7.6000 19.2% 16.8 46.7
13 H&K USP .45 Tactical 6,040 1,135 23,185 82 158 7.5238 18.8% 20.4 38.2
14 Bundeswehr Advanced Combat Knife 18,282 1,353 73,591 3 504 2.5327 7.4% 54.4 36.3
15 Arctic Warfare Magnum (Police) 11,911 4,296 587,502 512 3,039 5.4658 36.1% 136.8 3.9
16 Sig Sauer P-228 28,773 4,638 141,050 440 1,128 23.0204 16.1% 30.4 25.5
17 Sig Sauer SG-552 Commando 76,770 5,401 159,708 499 1,092 36.4000 7.0% 29.6 70.3
18 M249 PARA Light Machine Gun 82,983 7,063 284,102 1,094 2,017 15.3969 8.5% 40.2 41.1
19 FN P90 64,042 7,494 174,509 571 1,332 9.0612 11.7% 23.3 48.1
20 Benelli M3 Super 90 Combat 3,845 8,051 115,244 341 898 2.5657 209.4% 14.3 4.3
21 Steyr Scout 40,070 13,696 1,313,717 3,360 5,629 2.7977 34.2% 95.9 7.1
22 Desert Eagle .50AE 69,300 19,091 991,436 3,659 6,949 4.7272 27.5% 51.9 10.0
23 Colt M4A1 Carbine 477,852 64,563 2,080,438 6,811 15,064 11.5080 13.5% 32.2 31.7
24 Kalashnikov AK-47 697,422 90,056 3,623,174 13,486 26,246 9.1227 12.9% 40.2 26.6




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
2 Bundeswehr Advanced Combat Knife 67 19.4% 76.1% 4.5%
3 Fusil Automatique 175 21.7% 62.3% 16.0%
4 H&K UMP45 270 26.3% 53.7% 20.0%
5 FN Five-Seven 275 20.0% 65.8% 14.2%
6 Galil 293 31.7% 50.2% 18.1%
7 Steyr Aug 578 27.7% 56.1% 16.3%
8 Steyr Tactical Machine Pistol 752 24.5% 64.5% 11.0%
9 Dual Beretta 96G Elite 806 24.6% 61.5% 13.9%
10 H&K MP5-Navy 862 29.0% 56.3% 14.7%
11 Ingram MAC-10 935 26.7% 59.7% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 985 27.0% 56.4% 16.5%
13 Glock 18 Select Fire 1,021 26.4% 60.3% 13.2%
14 H&K USP .45 Tactical 1,135 25.9% 61.8% 12.3%
15 Arctic Warfare Magnum (Police) 4,296 31.8% 58.8% 9.3%
16 Sig Sauer P-228 4,638 29.3% 56.8% 13.9%
17 Sig Sauer SG-552 Commando 5,401 28.5% 56.5% 15.1%
18 M249 PARA Light Machine Gun 7,063 27.3% 59.3% 13.4%
19 FN P90 7,494 28.5% 56.0% 15.4%
20 Benelli M3 Super 90 Combat 8,051 28.4% 58.2% 13.4%
21 Steyr Scout 13,696 26.4% 65.3% 8.3%
22 Desert Eagle .50AE 19,091 26.0% 61.6% 12.4%
23 Colt M4A1 Carbine 64,563 27.3% 59.8% 13.0%
24 Kalashnikov AK-47 90,056 26.7% 59.8% 13.5%


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 / 369116 * 100, 2) AS kpercent,
			ROUND(headshots / 137809 * 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