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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.58%
Members: 29 active members (75 total)
Avg. Member Points: 11,657
Total Kills: 347,217
Total Deaths: 298,588
Avg. Kills: 11,973
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 08:01:27h
Avg. Connection Time: 13d 09:22:48h
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 33,787 46d 21:12:43h 69,011 19.88% 31,407 2.20
2  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.13% 38,689 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.18% 24,192 1.03
7  Russian federationLoony elorank 9,489 30d 10:24:46h 19,998 5.76% 22,188 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
10  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 12,310 1.05
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,586 5d 16:27:45h 6,826 1.97% 4,564 1.50
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
17  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.15% 3,458 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,807 times 26,807
2 Pick up the Bomb 22,713 times 45,426
3 Round MVP 16,917 times 0
4 Drop the Bomb 12,568 times -25136
5 Double Kill (2 kills) 10,706 times 10,706
6 Plant the Bomb 4,738 times 47,380
7 Domination 3,313 times 16,565
8 Triple Kill (3 kills) 2,554 times 5,108
9 Revenge 1,665 times 4,995
10 Start Defusing the Bomb With a Defuse Kit 685 times 0
11 Defuse the Bomb 496 times 4,960
12 Domination (4 kills) 450 times 1,350
13 Start Defusing the Bomb Without a Defuse Kit 65 times 0
14 Rampage (5 kills) 48 times 192
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,671 times -13355
2 Revenge 1,948 times -5844




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,122 times 27.96%
2 Counter-Terrorist 2,403 times 21.52%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,138 5.51% 9,706 7.38% 0.51
2 Colt M4A1 Carbine 1.00 11,645 3.35% 5,248 3.99% 0.45
3 Desert Eagle .50AE 1.20 6,494 1.87% 3,621 2.75% 0.56
4 Steyr Scout 1.10 5,944 1.71% 3,741 2.84% 0.63
5 High Explosive Grenade 1.80 2,495 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,415 0.70% 403 0.31% 0.17
7 M249 PARA Light Machine Gun 1.20 2,265 0.65% 1,095 0.83% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,643 0.47% 2 0.00% 0.00
9 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
10 Sig Sauer P-228 1.50 1,247 0.36% 528 0.40% 0.42
11 Sig Sauer SG-552 Commando 1.00 963 0.28% 428 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 641 0.18% 269 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 133 0.04% 68 0.05% 0.51
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
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 75 0.02% 37 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 59 0.02% 30 0.02% 0.51
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 Kills per Death Accuracy Damage per Hit sort-descending.gif Shots per Kill
1 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Arctic Warfare Magnum (Police) 10,054 3,485 469,976 410 2,423 5.0797 34.7% 134.9 4.1
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 47,674 14,340 1,369,721 3,735 5,939 2.3794 30.1% 95.5 8.0
5 Bundeswehr Advanced Combat Knife 12,006 1,151 60,027 2 399 1.7198 9.6% 52.2 30.1
6 Desert Eagle .50AE 70,677 18,242 948,867 3,655 6,534 4.3560 25.8% 52.0 10.8
7 Kalashnikov AK-47 579,794 69,393 2,745,485 10,134 19,667 9.3253 12.0% 39.6 29.5
8 M249 PARA Light Machine Gun 117,068 8,729 327,532 1,147 2,323 12.2263 7.5% 37.5 50.4
9 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
10 Colt M4A1 Carbine 409,489 51,498 1,634,485 5,245 11,642 11.0038 12.6% 31.7 35.2
11 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
12 Sig Sauer P-228 33,633 5,211 160,441 528 1,247 23.0926 15.5% 30.8 27.0
13 Steyr Aug 2,941 403 11,985 38 76 10.8571 13.7% 29.7 38.7
14 Sig Sauer SG-552 Commando 74,059 4,965 143,734 441 979 37.6538 6.7% 28.9 75.6
15 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
16 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
17 FN P90 76,879 8,792 205,929 689 1,554 10.1569 11.4% 23.4 49.5
18 H&K USP .45 Tactical 5,129 924 19,063 67 132 10.1538 18.0% 20.6 38.9
19 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
20 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Glock 18 Select Fire 5,207 905 15,932 50 103 6.8667 17.4% 17.6 50.6
23 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
24 Benelli M3 Super 90 Combat 2,911 5,843 84,375 269 641 2.1155 200.7% 14.4 4.5
25 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 69,393 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,498 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,242 26.2% 61.6% 12.2%
4 Steyr Scout 14,315 26.4% 64.9% 8.7%
5 FN P90 8,792 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,729 28.4% 57.0% 14.6%
7 Benelli M3 Super 90 Combat 5,843 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,211 28.6% 57.7% 13.8%
9 Sig Sauer SG-552 Commando 4,965 28.8% 56.0% 15.3%
10 Arctic Warfare Magnum (Police) 3,485 32.5% 57.7% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
13 H&K USP .45 Tactical 924 24.9% 62.8% 12.3%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 403 27.3% 57.3% 15.4%
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 53 24.5% 67.9% 7.5%
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 / 347217 * 100, 2) AS kpercent,
			ROUND(headshots / 131536 * 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