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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.57%
Members: 26 active members (75 total)
Avg. Member Points: 11,817
Total Kills: 304,148
Total Deaths: 261,988
Avg. Kills: 11,698
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 335d 20:22:52h
Avg. Connection Time: 12d 22:00:52h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 22.75% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.86% 38,713 1.09
3  Russian federationDiM4iK elorank 14,787 16d 12:57:38h 19,312 6.35% 12,220 1.58
4  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.77% 15,207 1.15
5  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.19% 24,192 1.03
6  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.31% 18,072 0.89
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.80% 10,412 1.11
8  Ukrainerimuru elorank 10,920 14d 06:26:22h 13,944 4.58% 13,485 1.03
9  Russian federationStanislav752 elorank 10,123 17d 07:04:15h 14,045 4.62% 13,755 1.02
10  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.54% 5,572 1.93
11  Russian federationубивашка 62 elorank 17,282 6d 17:01:55h 8,045 2.65% 5,495 1.46
12  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 3.04% 14,654 0.63
13  Russian federation⇜Ṧ†êrvå⇝ elorank 9,436 6d 15:14:04h 4,783 1.57% 6,263 0.76
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.94% 7,910 0.75
15  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.97% 8,932 0.67
16  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,434 13d 21:02:15h 5,015 1.65% 11,939 0.42
17  Russian federationИлья190RUS elorank 13,034 4d 02:18:23h 4,282 1.41% 3,725 1.15
18  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,585 3d 22:29:03h 3,831 1.26% 3,961 0.97
19  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.47% 5,055 0.89
20  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 1.02% 1,465 2.12


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 10,988 times -21976
2 Kill a Hostage 18 times -270
3 Round MVP 14,477 times 0
4 Start Defusing the Bomb With a Defuse Kit 558 times 0
5 Start Defusing the Bomb Without a Defuse Kit 59 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 3 times 15
9 Rampage (5 kills) 38 times 152
10 Domination (4 kills) 359 times 1,077
11 Triple Kill (3 kills) 2,128 times 4,256
12 Revenge 1,450 times 4,350
13 Defuse the Bomb 467 times 4,670
14 Double Kill (2 kills) 9,034 times 9,034
15 Domination 2,727 times 13,635
16 Headshot 22,514 times 22,514
17 Plant the Bomb 3,456 times 34,560
18 Pick up the Bomb 18,960 times 37,920




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,608 times -4824
2 Domination 2,280 times -11400




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,145 times 22.65%
2 Terrorist 2,553 times 26.95%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 14,497 4.77% 7,566 6.67% 0.52
2 Colt M4A1 Carbine 1.00 10,094 3.32% 4,632 4.09% 0.46
3 Desert Eagle .50AE 1.20 5,835 1.92% 3,338 2.94% 0.57
4 Steyr Scout 1.10 5,362 1.76% 3,379 2.98% 0.63
5 M249 PARA Light Machine Gun 1.20 2,117 0.70% 1,007 0.89% 0.48
6 High Explosive Grenade 1.80 2,117 0.70% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 2,007 0.66% 340 0.30% 0.17
8 FN P90 1.20 1,794 0.59% 788 0.70% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,465 0.48% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,293 0.43% 554 0.49% 0.43
11 Sig Sauer SG-552 Commando 1.00 784 0.26% 337 0.30% 0.43
12 Benelli M3 Super 90 Combat 1.20 488 0.16% 213 0.19% 0.44
13 Dual Beretta 96G Elite 1.40 194 0.06% 94 0.08% 0.48
14 H&K USP .45 Tactical 1.40 110 0.04% 59 0.05% 0.54
15 Galil 1.10 103 0.03% 41 0.04% 0.40
16 Glock 18 Select Fire 1.40 65 0.02% 34 0.03% 0.52
17 Steyr Aug 1.00 56 0.02% 27 0.02% 0.48
18 Ingram MAC-10 1.50 52 0.02% 21 0.02% 0.40
19 FN Five-Seven 1.50 50 0.02% 21 0.02% 0.42
20 Steyr Tactical Machine Pistol 1.50 46 0.02% 24 0.02% 0.52
21 Fusil Automatique 1.00 37 0.01% 18 0.02% 0.49
22 H&K MP5-Navy 1.20 32 0.01% 15 0.01% 0.47
23 Benelli/H&K M4 Super 90 XM1014 1.10 30 0.01% 10 0.01% 0.33
24 H&K UMP45 1.20 16 0.01% 9 0.01% 0.56
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits sort-descending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 498,220 52,517 2,044,899 7,559 14,489 8.7919 10.5% 38.9 34.4
2 Colt M4A1 Carbine 347,949 44,403 1,414,373 4,629 10,092 12.2179 12.8% 31.9 34.5
3 Desert Eagle .50AE 63,338 16,189 847,483 3,335 5,831 4.0948 25.6% 52.3 10.9
4 Steyr Scout 44,294 13,116 1,229,396 3,373 5,358 2.2214 29.6% 93.7 8.3
5 FN P90 84,782 10,136 236,499 788 1,794 10.6154 12.0% 23.3 47.3
6 M249 PARA Light Machine Gun 109,495 8,035 296,563 1,008 2,118 12.7590 7.3% 36.9 51.7
7 Sig Sauer P-228 35,101 5,555 169,825 554 1,293 21.9153 15.8% 30.6 27.1
8 Benelli M3 Super 90 Combat 2,380 4,718 67,658 213 488 1.7367 198.2% 14.3 4.9
9 Sig Sauer SG-552 Commando 59,477 4,013 115,273 337 785 37.3810 6.7% 28.7 75.8
10 Arctic Warfare Magnum (Police) 8,535 2,909 389,563 340 2,008 4.9095 34.1% 133.9 4.3
11 Bundeswehr Advanced Combat Knife 9,021 1,022 54,574 2 356 1.5752 11.3% 53.4 25.3
12 Dual Beretta 96G Elite 4,956 970 27,127 94 194 194.0000 19.6% 28.0 25.5
13 H&K USP .45 Tactical 4,456 820 16,500 59 110 13.7500 18.4% 20.1 40.5
14 Glock 18 Select Fire 4,339 644 10,906 34 65 16.2500 14.8% 16.9 66.8
15 Galil 2,740 423 14,290 41 103 103.0000 15.4% 33.8 26.6
16 Benelli/H&K M4 Super 90 XM1014 694 389 4,598 10 30 7.5000 56.1% 11.8 23.1
17 H&K MP5-Navy 1,808 383 5,892 15 32 8.0000 21.2% 15.4 56.5
18 Ingram MAC-10 1,938 360 6,429 21 52 52.0000 18.6% 17.9 37.3
19 Steyr Tactical Machine Pistol 2,784 359 6,399 24 46 46.0000 12.9% 17.8 60.5
20 Steyr Aug 2,485 321 9,479 28 58 8.2857 12.9% 29.5 42.8
21 FN Five-Seven 1,205 299 7,661 22 51 51.0000 24.8% 25.6 23.6
22 Fusil Automatique 1,009 157 5,085 18 37 37.0000 15.6% 32.4 27.3
23 H&K UMP45 1,488 151 3,085 9 16 8.0000 10.1% 20.4 93.0
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 52,517 27.2% 58.7% 14.1%
2 Colt M4A1 Carbine 44,403 27.8% 59.1% 13.1%
3 Desert Eagle .50AE 16,189 26.2% 61.9% 12.0%
4 Steyr Scout 13,091 26.8% 64.3% 8.9%
5 FN P90 10,136 28.2% 56.1% 15.7%
6 M249 PARA Light Machine Gun 8,035 28.3% 56.6% 15.1%
7 Sig Sauer P-228 5,555 28.7% 57.5% 13.8%
8 Benelli M3 Super 90 Combat 4,718 29.6% 57.4% 13.1%
9 Sig Sauer SG-552 Commando 4,013 29.8% 55.3% 14.9%
10 Arctic Warfare Magnum (Police) 2,909 33.0% 57.0% 10.0%
11 Dual Beretta 96G Elite 970 25.3% 61.1% 13.6%
12 H&K USP .45 Tactical 820 26.0% 61.2% 12.8%
13 Glock 18 Select Fire 644 25.5% 62.9% 11.6%
14 Galil 423 26.5% 58.9% 14.7%
15 Benelli/H&K M4 Super 90 XM1014 389 29.3% 54.0% 16.7%
16 H&K MP5-Navy 383 28.5% 56.7% 14.9%
17 Ingram MAC-10 360 25.3% 62.8% 11.9%
18 Steyr Tactical Machine Pistol 359 23.1% 64.6% 12.3%
19 Steyr Aug 321 30.2% 55.1% 14.6%
20 FN Five-Seven 299 24.1% 59.5% 16.4%
21 Fusil Automatique 157 24.2% 63.1% 12.7%
22 H&K UMP45 151 28.5% 49.7% 21.9%
23 Bundeswehr Advanced Combat Knife 54 27.8% 66.7% 5.6%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 304148 * 100, 2) AS kpercent,
			ROUND(headshots / 113381 * 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