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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.96%
Members: 29 active members (75 total)
Avg. Member Points: 11,707
Total Kills: 348,728
Total Deaths: 300,200
Avg. Kills: 12,025
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 390d 05:12:09h
Avg. Connection Time: 13d 10:56:16h
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 19.81% 31,444 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.15% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,312 6d 01:12:44h 7,245 2.08% 4,875 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.31% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.52% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.09% 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 13,038 3d 22:13:44h 4,105 1.18% 3,569 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 5.03% 15,207 1.15
12  Russian federationStanislav752 elorank 10,669 16d 05:21:53h 13,213 3.79% 12,859 1.03
13  Russian federationShalfeYka elorank 10,648 2d 07:56:31h 2,047 0.59% 2,040 1.00
14  Russian federationBISON elorank 10,585 8d 21:41:15h 5,892 1.69% 8,798 0.67
15  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
16  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
17  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.74% 15,929 1.48
18  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
19  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
20  Russian federationLoony elorank 9,640 30d 13:29:04h 20,090 5.76% 22,285 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,445 times 44,450
2 Pick up the Bomb 22,025 times 44,050
3 Headshot 25,485 times 25,485
4 Domination 3,183 times 15,915
5 Double Kill (2 kills) 10,405 times 10,405
6 Triple Kill (3 kills) 2,464 times 4,928
7 Revenge 1,630 times 4,890
8 Defuse the Bomb 477 times 4,770
9 Domination (4 kills) 426 times 1,278
10 Rampage (5 kills) 44 times 176
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 61 times 0
15 Start Defusing the Bomb With a Defuse Kit 646 times 0
16 Round MVP 16,300 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,315 times -24630




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,864 times -5592
2 Domination 2,616 times -13080




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,020 times 28.00%
2 Counter-Terrorist 2,334 times 21.64%




  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 43 0.01% 20 0.02% 0.47
4 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
5 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
6 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
7 Steyr Aug 1.00 71 0.02% 35 0.03% 0.49
8 Glock 18 Select Fire 1.40 98 0.03% 45 0.03% 0.46
9 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
10 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
11 Galil 1.10 117 0.03% 47 0.04% 0.40
12 H&K USP .45 Tactical 1.40 130 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 1.20 603 0.17% 262 0.20% 0.43
15 Sig Sauer SG-552 Commando 1.00 962 0.28% 428 0.32% 0.44
16 Sig Sauer P-228 1.50 1,248 0.36% 529 0.40% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,601 0.46% 2 0.00% 0.00
18 FN P90 1.20 1,609 0.46% 720 0.54% 0.45
19 M249 PARA Light Machine Gun 1.20 2,195 0.63% 1,053 0.80% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,332 0.67% 386 0.29% 0.17
21 High Explosive Grenade 1.80 2,439 0.70% 0 0.00% 0.00
22 Steyr Scout 1.10 5,851 1.68% 3,680 2.78% 0.63
23 Desert Eagle .50AE 1.20 6,391 1.83% 3,563 2.69% 0.56
24 Colt M4A1 Carbine 1.00 11,379 3.26% 5,177 3.91% 0.45
25 Kalashnikov AK-47 1.00 18,059 5.18% 9,193 6.95% 0.51




  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 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 Fusil Automatique 1,123 192 6,107 19 41 41.0000 17.1% 31.8 27.4
4 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
5 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
6 Steyr Aug 2,820 390 11,516 36 72 10.2857 13.8% 29.5 39.2
7 Steyr Tactical Machine Pistol 3,274 447 7,866 26 54 54.0000 13.7% 17.6 60.6
8 Galil 3,354 489 16,087 47 117 58.5000 14.6% 32.9 28.7
9 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
10 Benelli/H&K M4 Super 90 XM1014 1,248 807 9,511 24 66 13.2000 64.7% 11.8 18.9
11 Glock 18 Select Fire 5,110 871 14,861 44 96 6.4000 17.0% 17.1 53.2
12 H&K MP5-Navy 4,963 908 15,225 45 103 11.4444 18.3% 16.8 48.2
13 H&K USP .45 Tactical 5,107 918 18,793 67 129 9.9231 18.0% 20.5 39.6
14 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
15 Bundeswehr Advanced Combat Knife 11,686 1,113 57,804 2 384 1.6842 9.5% 51.9 30.4
16 Arctic Warfare Magnum (Police) 9,708 3,363 450,007 386 2,331 4.9914 34.6% 133.8 4.2
17 Sig Sauer SG-552 Commando 73,907 4,940 141,619 428 963 40.1250 6.7% 28.7 76.7
18 Sig Sauer P-228 33,518 5,260 161,783 529 1,248 23.1111 15.7% 30.8 26.9
19 Benelli M3 Super 90 Combat 2,792 5,590 80,702 262 603 2.0167 200.2% 14.4 4.6
20 M249 PARA Light Machine Gun 115,245 8,381 310,403 1,054 2,196 12.4773 7.3% 37.0 52.5
21 FN P90 78,890 9,095 213,685 720 1,609 10.3806 11.5% 23.5 49.0
22 Steyr Scout 47,152 14,105 1,343,912 3,673 5,845 2.3857 29.9% 95.3 8.1
23 Desert Eagle .50AE 69,655 17,868 925,435 3,560 6,387 4.2467 25.7% 51.8 10.9
24 Colt M4A1 Carbine 391,619 50,189 1,598,007 5,174 11,376 11.2300 12.8% 31.8 34.4
25 Kalashnikov AK-47 568,143 64,665 2,531,234 9,185 18,046 8.9736 11.4% 39.1 31.5




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
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 390 27.9% 56.4% 15.6%
8 Steyr Tactical Machine Pistol 447 25.1% 63.8% 11.2%
9 Galil 489 28.8% 55.6% 15.5%
10 Ingram MAC-10 654 26.8% 58.9% 14.4%
11 Benelli/H&K M4 Super 90 XM1014 807 27.3% 56.0% 16.7%
12 Glock 18 Select Fire 871 26.6% 62.0% 11.4%
13 H&K MP5-Navy 908 28.3% 57.0% 14.6%
14 H&K USP .45 Tactical 918 25.1% 61.8% 13.2%
15 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
16 Arctic Warfare Magnum (Police) 3,363 32.6% 57.5% 9.9%
17 Sig Sauer SG-552 Commando 4,940 29.0% 55.6% 15.3%
18 Sig Sauer P-228 5,260 28.6% 57.7% 13.6%
19 Benelli M3 Super 90 Combat 5,590 29.7% 57.5% 12.8%
20 M249 PARA Light Machine Gun 8,381 28.6% 56.7% 14.7%
21 FN P90 9,095 27.9% 56.5% 15.7%
22 Steyr Scout 14,080 26.4% 64.8% 8.8%
23 Desert Eagle .50AE 17,868 26.3% 61.5% 12.2%
24 Colt M4A1 Carbine 50,189 27.8% 59.2% 13.1%
25 Kalashnikov AK-47 64,665 27.3% 58.7% 14.0%


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 / 348728 * 100, 2) AS kpercent,
			ROUND(headshots / 132244 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc