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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.59%
Members: 27 active members (73 total)
Avg. Member Points: 11,446
Total Kills: 336,799
Total Deaths: 290,894
Avg. Kills: 12,474
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 378d 21:30:12h
Avg. Connection Time: 14d 00:47:47h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 20.49% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.41% 6,226 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.48% 11,872 0.42
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.98% 15,929 1.48
5  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.92% 1,465 2.12
6  Russian federationИлья190RUS elorank 12,364 3d 17:51:46h 3,907 1.16% 3,401 1.15
7  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.20% 5,572 1.93
8  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.12% 13,411 1.03
10  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
11  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.32% 775 1.38
12  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.40% 24,192 1.03
13  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.32% 5,036 0.88
14  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.84% 12,310 1.05
15  Russian federationSprut elorank 9,306 2d 04:35:36h 1,743 0.52% 2,249 0.78
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.99% 3,500 0.95
17  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.53% 1,789 1.00
18  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.43% 10,412 1.11
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.80% 18,072 0.89
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.27% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,245 times 4,490
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 49 times 0
4 Start Defusing the Bomb With a Defuse Kit 589 times 0
5 Round MVP 14,921 times 0
6 Revenge 1,543 times 4,629
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 43 times 172
9 Plant the Bomb 4,438 times 44,380
10 Pick up the Bomb 21,637 times 43,274
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 23,496 times 23,496
14 Drop the Bomb 12,130 times -24260
15 Double Kill (2 kills) 9,402 times 9,402
16 Domination (4 kills) 390 times 1,170
17 Domination 2,902 times 14,510
18 Defuse the Bomb 391 times 3,910




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,689 times -5067
2 Domination 2,493 times -12465




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,943 times 28.90%
2 Counter-Terrorist 2,057 times 20.20%




  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 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
5 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
6 Steyr Aug 1.00 64 0.02% 31 0.02% 0.48
7 Benelli/H&K M4 Super 90 XM1014 1.10 74 0.02% 27 0.02% 0.36
8 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
9 Glock 18 Select Fire 1.40 101 0.03% 49 0.04% 0.49
10 Ingram MAC-10 1.50 118 0.04% 59 0.05% 0.50
11 Galil 1.10 119 0.04% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 128 0.04% 65 0.05% 0.51
13 Dual Beretta 96G Elite 1.40 220 0.07% 101 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 596 0.18% 248 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 959 0.28% 430 0.34% 0.45
16 Sig Sauer P-228 1.50 1,266 0.38% 534 0.42% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,420 0.42% 2 0.00% 0.00
18 FN P90 1.20 1,498 0.44% 662 0.52% 0.44
19 High Explosive Grenade 1.80 1,980 0.59% 0 0.00% 0.00
20 M249 PARA Light Machine Gun 1.20 2,081 0.62% 1,021 0.81% 0.49
21 Arctic Warfare Magnum (Police) 1.00 2,135 0.63% 328 0.26% 0.15
22 Steyr Scout 1.10 5,032 1.49% 3,037 2.40% 0.60
23 Desert Eagle .50AE 1.20 5,114 1.52% 2,762 2.19% 0.54
24 Colt M4A1 Carbine 1.00 9,733 2.89% 4,287 3.39% 0.44
25 Kalashnikov AK-47 1.00 18,216 5.41% 9,134 7.23% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
4 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
5 Steyr Tactical Machine Pistol 2,992 422 7,507 26 49 49.0000 14.1% 17.8 61.1
6 FN Five-Seven 1,214 319 8,515 29 58 29.0000 26.3% 26.7 20.9
7 Steyr Aug 2,534 341 10,211 32 65 16.2500 13.5% 29.9 39.0
8 Benelli/H&K M4 Super 90 XM1014 1,324 917 10,783 27 74 14.8000 69.3% 11.8 17.9
9 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
10 Glock 18 Select Fire 4,925 875 15,401 48 99 6.6000 17.8% 17.6 49.7
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Galil 3,338 494 16,512 50 119 59.5000 14.8% 33.4 28.1
13 H&K USP .45 Tactical 4,503 819 17,507 64 127 9.7692 18.2% 21.4 35.5
14 Dual Beretta 96G Elite 5,582 1,104 30,397 101 220 73.3333 19.8% 27.5 25.4
15 Bundeswehr Advanced Combat Knife 11,962 1,145 59,314 2 397 1.7112 9.6% 51.8 30.1
16 Benelli M3 Super 90 Combat 2,671 5,351 78,038 248 596 2.0694 200.3% 14.6 4.5
17 Sig Sauer SG-552 Commando 74,125 4,940 142,960 443 975 42.3913 6.7% 28.9 76.0
18 Sig Sauer P-228 34,040 5,255 162,228 534 1,266 23.8868 15.4% 30.9 26.9
19 FN P90 75,181 8,499 198,874 662 1,498 10.1905 11.3% 23.4 50.2
20 M249 PARA Light Machine Gun 109,206 7,994 303,330 1,073 2,139 12.9636 7.3% 37.9 51.1
21 Arctic Warfare Magnum (Police) 9,233 3,116 409,414 335 2,143 5.1889 33.7% 131.4 4.3
22 Steyr Scout 41,245 12,095 1,150,534 3,034 5,030 2.4537 29.3% 95.1 8.2
23 Desert Eagle .50AE 55,120 14,304 743,177 2,799 5,157 4.1355 26.0% 52.0 10.7
24 Colt M4A1 Carbine 372,830 43,804 1,375,361 4,288 9,737 10.8309 11.7% 31.4 38.3
25 Kalashnikov AK-47 566,450 66,076 2,610,109 9,563 18,746 9.6380 11.7% 39.5 30.2




  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 53 24.5% 67.9% 7.5%
4 Fusil Automatique 115 20.0% 64.3% 15.7%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 319 23.2% 61.8% 15.0%
7 Steyr Aug 341 27.9% 55.7% 16.4%
8 Steyr Tactical Machine Pistol 422 27.5% 63.0% 9.5%
9 Galil 494 28.9% 55.7% 15.4%
10 H&K USP .45 Tactical 819 24.4% 62.4% 13.2%
11 Ingram MAC-10 826 26.6% 59.0% 14.4%
12 H&K MP5-Navy 855 29.4% 56.3% 14.4%
13 Glock 18 Select Fire 875 26.1% 62.5% 11.4%
14 Benelli/H&K M4 Super 90 XM1014 917 26.8% 56.6% 16.6%
15 Dual Beretta 96G Elite 1,104 25.0% 61.5% 13.5%
16 Arctic Warfare Magnum (Police) 3,116 32.7% 57.4% 9.8%
17 Sig Sauer SG-552 Commando 4,940 28.9% 55.8% 15.3%
18 Sig Sauer P-228 5,255 28.8% 57.5% 13.8%
19 Benelli M3 Super 90 Combat 5,351 29.6% 57.5% 12.8%
20 M249 PARA Light Machine Gun 7,994 28.0% 57.5% 14.5%
21 FN P90 8,499 28.1% 56.3% 15.6%
22 Steyr Scout 12,070 26.5% 64.6% 8.9%
23 Desert Eagle .50AE 14,304 26.4% 61.0% 12.6%
24 Colt M4A1 Carbine 43,804 28.2% 58.5% 13.3%
25 Kalashnikov AK-47 66,076 27.2% 59.0% 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 / 336799 * 100, 2) AS kpercent,
			ROUND(headshots / 126317 * 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