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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.21%
Members: 28 active members (75 total)
Avg. Member Points: 11,752
Total Kills: 327,222
Total Deaths: 286,209
Avg. Kills: 11,687
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 370d 02:41:20h
Avg. Connection Time: 13d 05:14:20h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths Kpd sort-ascending.gif
1  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,478 13d 19:30:47h 5,003 1.53% 11,880 0.42
2  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.83% 14,654 0.63
3  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
4  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.81% 7,910 0.75
5  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.46% 6,252 0.76
6  Russian federationSprut elorank 9,396 2d 05:48:41h 1,794 0.55% 2,294 0.78
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.94% 18,072 0.89
8  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
9  Russian federationLoony elorank 9,434 30d 16:59:55h 20,162 6.16% 22,413 0.90
10  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,338 3d 18:53:25h 3,682 1.13% 3,797 0.97
11  Russian federationShalfeYka elorank 10,843 2d 18:14:08h 2,443 0.75% 2,461 0.99
12  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.15% 471 1.02
13  Russian federationStanislav752 elorank 9,729 16d 20:18:15h 13,698 4.19% 13,368 1.02
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.25% 13,456 1.03
15  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.62% 24,192 1.03
16  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.25% 754 1.08
17  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.88% 38,713 1.09
18  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.53% 10,412 1.11
19  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.36% 15,207 1.15
20  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.28% 3,648 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 23,411 times 23,411
2 Pick up the Bomb 20,107 times 40,214
3 Round MVP 15,034 times 0
4 Drop the Bomb 11,480 times -22960
5 Double Kill (2 kills) 9,430 times 9,430
6 Plant the Bomb 3,787 times 37,870
7 Domination 2,863 times 14,315
8 Triple Kill (3 kills) 2,212 times 4,424
9 Revenge 1,505 times 4,515
10 Start Defusing the Bomb With a Defuse Kit 613 times 0
11 Defuse the Bomb 459 times 4,590
12 Domination (4 kills) 366 times 1,098
13 Start Defusing the Bomb Without a Defuse Kit 56 times 0
14 Rampage (5 kills) 41 times 164
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 3 times 15
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-ascending.gif
1 Domination 2,381 times -11905
2 Revenge 1,685 times -5055




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,211 times 22.07%
2 Terrorist 2,746 times 27.41%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 15,645 4.78% 8,102 6.65% 0.52
2 Colt M4A1 Carbine 1.00 10,373 3.17% 4,757 3.91% 0.46
3 Desert Eagle .50AE 1.20 5,968 1.82% 3,406 2.80% 0.57
4 Steyr Scout 1.10 5,484 1.68% 3,446 2.83% 0.63
5 High Explosive Grenade 1.80 2,180 0.67% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,172 0.66% 1,038 0.85% 0.48
7 Arctic Warfare Magnum (Police) 1.00 2,032 0.62% 345 0.28% 0.17
8 FN P90 1.20 1,679 0.51% 737 0.61% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,565 0.48% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,296 0.40% 555 0.46% 0.43
11 Sig Sauer SG-552 Commando 1.00 841 0.26% 368 0.30% 0.44
12 Benelli M3 Super 90 Combat 1.20 533 0.16% 230 0.19% 0.43
13 Dual Beretta 96G Elite 1.40 211 0.06% 100 0.08% 0.47
14 H&K USP .45 Tactical 1.40 121 0.04% 65 0.05% 0.54
15 Galil 1.10 111 0.03% 45 0.04% 0.41
16 Glock 18 Select Fire 1.40 84 0.03% 40 0.03% 0.48
17 Ingram MAC-10 1.50 67 0.02% 27 0.02% 0.40
18 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
19 FN Five-Seven 1.50 60 0.02% 30 0.02% 0.50
20 H&K MP5-Navy 1.20 59 0.02% 27 0.02% 0.46
21 Benelli/H&K M4 Super 90 XM1014 1.10 50 0.02% 18 0.01% 0.36
22 Steyr Tactical Machine Pistol 1.50 50 0.02% 23 0.02% 0.46
23 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
24 H&K UMP45 1.20 27 0.01% 13 0.01% 0.48
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-47 510,840 56,302 2,203,569 8,094 15,634 8.6856 11.0% 39.1 32.7
2 Colt M4A1 Carbine 359,192 45,703 1,455,106 4,754 10,370 11.6125 12.7% 31.8 34.6
3 Desert Eagle .50AE 65,230 16,637 868,630 3,403 5,964 4.0962 25.5% 52.2 10.9
4 Steyr Scout 45,108 13,359 1,257,671 3,439 5,478 2.2778 29.6% 94.1 8.2
5 M249 PARA Light Machine Gun 112,262 8,229 304,216 1,039 2,173 13.0120 7.3% 37.0 51.7
6 Arctic Warfare Magnum (Police) 8,609 2,942 394,728 345 2,033 4.9345 34.2% 134.2 4.2
7 FN P90 81,263 9,477 221,440 737 1,679 10.9739 11.7% 23.4 48.4
8 Sig Sauer P-228 34,983 5,551 169,876 555 1,296 20.9032 15.9% 30.6 27.0
9 Sig Sauer SG-552 Commando 62,759 4,220 121,898 368 842 36.6087 6.7% 28.9 74.5
10 Benelli M3 Super 90 Combat 2,547 5,055 72,913 230 533 1.8702 198.5% 14.4 4.8
11 Bundeswehr Advanced Combat Knife 10,728 1,124 59,679 2 391 1.6157 10.5% 53.1 27.4
12 Dual Beretta 96G Elite 5,260 1,039 29,309 100 211 70.3333 19.8% 28.2 24.9
13 H&K USP .45 Tactical 4,727 882 17,845 64 120 9.2308 18.7% 20.2 39.4
14 Galil 2,919 453 15,297 45 111 55.5000 15.5% 33.8 26.3
15 Glock 18 Select Fire 4,841 774 13,022 39 82 5.4667 16.0% 16.8 59.0
16 Steyr Aug 2,587 352 10,619 33 67 8.3750 13.6% 30.2 38.6
17 Ingram MAC-10 2,373 424 7,620 26 64 64.0000 17.9% 18.0 37.1
18 FN Five-Seven 1,340 333 8,950 31 61 30.5000 24.9% 26.9 22.0
19 H&K MP5-Navy 2,474 555 9,396 26 57 11.4000 22.4% 16.9 43.4
20 Benelli/H&K M4 Super 90 XM1014 1,018 619 7,334 18 50 10.0000 60.8% 11.8 20.4
21 Steyr Tactical Machine Pistol 2,977 386 6,792 22 49 49.0000 13.0% 17.6 60.8
22 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
23 H&K UMP45 1,884 228 4,556 13 26 13.0000 12.1% 20.0 72.5
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 Left sort-descending.gif Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Arctic Warfare Magnum (Police) 2,942 33.0% 57.0% 10.0%
3 Benelli M3 Super 90 Combat 5,055 29.9% 57.2% 12.9%
4 Sig Sauer SG-552 Commando 4,220 29.3% 55.6% 15.1%
5 Benelli/H&K M4 Super 90 XM1014 619 29.2% 53.0% 17.8%
6 Sig Sauer P-228 5,551 28.8% 57.5% 13.7%
7 M249 PARA Light Machine Gun 8,229 28.3% 56.6% 15.1%
8 FN P90 9,477 28.0% 56.1% 15.9%
9 Colt M4A1 Carbine 45,703 27.8% 59.1% 13.1%
10 Galil 453 27.6% 57.8% 14.6%
11 Steyr Aug 352 27.6% 57.1% 15.3%
12 Kalashnikov AK-47 56,302 27.2% 58.8% 14.0%
13 H&K MP5-Navy 555 26.8% 58.2% 15.0%
14 Steyr Scout 13,334 26.5% 64.6% 8.9%
15 Glock 18 Select Fire 774 26.5% 62.1% 11.4%
16 Desert Eagle .50AE 16,637 26.3% 61.7% 12.1%
17 Steyr Tactical Machine Pistol 386 25.9% 62.7% 11.4%
18 Ingram MAC-10 424 25.9% 61.1% 13.0%
19 H&K USP .45 Tactical 882 25.6% 61.3% 13.0%
20 Dual Beretta 96G Elite 1,039 24.8% 61.6% 13.6%
21 H&K UMP45 228 24.1% 54.8% 21.1%
22 FN Five-Seven 333 23.7% 61.9% 14.4%
23 Fusil Automatique 183 22.4% 63.4% 14.2%
24 Bundeswehr Advanced Combat Knife 50 22.0% 72.0% 6.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 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 / 327222 * 100, 2) AS kpercent,
			ROUND(headshots / 121807 * 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