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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.86%
Members: 29 active members (75 total)
Avg. Member Points: 11,657
Total Kills: 347,886
Total Deaths: 299,229
Avg. Kills: 11,996
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 03:33:21h
Avg. Connection Time: 13d 10:03:13h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
1  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.12% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,680 46d 21:38:12h 69,032 19.84% 31,419 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.16% 24,192 1.03
4  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.77% 22,263 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.76% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.04% 15,207 1.15
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
9  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
10  Russian federationStanislav752 elorank 10,820 15d 17:32:31h 12,965 3.73% 12,364 1.05
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
13  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
15  Russian federationBISON elorank 10,189 8d 18:11:16h 5,762 1.66% 8,673 0.66
16  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
18  Russian federationубивашка 62 elorank 17,135 5d 22:50:19h 7,130 2.05% 4,798 1.49
19  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,363 times -24726
2 Kill a Hostage 18 times -270
3 Round MVP 16,729 times 0
4 Start Defusing the Bomb With a Defuse Kit 664 times 0
5 Start Defusing the Bomb Without a Defuse Kit 64 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 47 times 188
10 Domination (4 kills) 447 times 1,341
11 Defuse the Bomb 487 times 4,870
12 Revenge 1,644 times 4,932
13 Triple Kill (3 kills) 2,550 times 5,100
14 Double Kill (2 kills) 10,637 times 10,637
15 Domination 3,296 times 16,480
16 Headshot 26,653 times 26,653
17 Pick up the Bomb 22,508 times 45,016
18 Plant the Bomb 4,728 times 47,280




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,637 times -13185
2 Revenge 1,929 times -5787




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,098 times 28.09%
2 Counter-Terrorist 2,367 times 21.47%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,855 5.42% 9,563 7.25% 0.51
2 Colt M4A1 Carbine 1.00 11,477 3.30% 5,204 3.95% 0.45
3 Desert Eagle .50AE 1.20 6,514 1.87% 3,638 2.76% 0.56
4 Steyr Scout 1.10 6,005 1.73% 3,792 2.88% 0.63
5 High Explosive Grenade 1.80 2,500 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,393 0.69% 397 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,227 0.64% 1,074 0.81% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,604 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,560 0.45% 694 0.53% 0.44
10 Sig Sauer P-228 1.50 1,227 0.35% 522 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 641 0.18% 269 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 113 0.03% 54 0.04% 0.48
17 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 61 0.02% 30 0.02% 0.49
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
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-47 569,361 68,380 2,704,660 9,991 19,384 9.4326 12.0% 39.6 29.4
2 Colt M4A1 Carbine 395,563 50,651 1,612,451 5,201 11,474 11.2160 12.8% 31.8 34.5
3 Desert Eagle .50AE 70,941 18,301 951,180 3,672 6,554 4.3318 25.8% 52.0 10.8
4 Steyr Scout 47,936 14,437 1,382,140 3,785 5,999 2.4073 30.1% 95.7 8.0
5 Arctic Warfare Magnum (Police) 9,976 3,458 464,968 404 2,401 5.0335 34.7% 134.5 4.2
6 M249 PARA Light Machine Gun 116,058 8,604 322,328 1,126 2,285 12.0263 7.4% 37.5 50.8
7 FN P90 77,012 8,821 206,950 694 1,560 10.1961 11.5% 23.5 49.4
8 Sig Sauer P-228 33,275 5,154 158,748 522 1,227 22.3091 15.5% 30.8 27.1
9 Sig Sauer SG-552 Commando 73,927 4,954 143,487 440 977 37.5769 6.7% 29.0 75.7
10 Benelli M3 Super 90 Combat 2,901 5,849 84,251 269 641 2.1510 201.6% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,817 1,119 57,763 2 384 1.6842 9.5% 51.6 30.8
12 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
13 H&K USP .45 Tactical 5,138 922 18,930 67 130 10.0000 17.9% 20.5 39.5
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Ingram MAC-10 4,819 813 14,680 53 110 27.5000 16.9% 18.1 43.8
16 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
17 Glock 18 Select Fire 5,187 897 15,777 50 103 6.8667 17.3% 17.6 50.4
18 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
19 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 4,096 508 9,055 29 60 60.0000 12.4% 17.8 68.3
22 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 68,380 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,651 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,301 26.2% 61.6% 12.2%
4 Steyr Scout 14,412 26.4% 65.0% 8.7%
5 FN P90 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,604 28.4% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,849 29.6% 57.3% 13.0%
8 Sig Sauer P-228 5,154 28.7% 57.7% 13.6%
9 Sig Sauer SG-552 Commando 4,954 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,458 32.5% 57.6% 9.9%
11 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
13 H&K USP .45 Tactical 922 24.7% 62.4% 12.9%
14 H&K MP5-Navy 900 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 897 26.4% 62.2% 11.4%
16 Ingram MAC-10 813 26.6% 58.1% 15.4%
17 Steyr Tactical Machine Pistol 508 26.0% 63.0% 11.0%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 396 27.5% 56.8% 15.7%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
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 / 347886 * 100, 2) AS kpercent,
			ROUND(headshots / 131891 * 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