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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.07%
Members: 28 active members (75 total)
Avg. Member Points: 11,782
Total Kills: 327,028
Total Deaths: 286,021
Avg. Kills: 11,680
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 369d 21:27:30h
Avg. Connection Time: 13d 05:03:07h
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 sort-descending.gif Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 21.16% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.89% 38,713 1.09
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.62% 24,192 1.03
4  Russian federationLoony elorank 9,434 30d 16:59:55h 20,162 6.17% 22,413 0.90
5  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.89% 12,180 1.58
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.37% 15,207 1.15
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.94% 18,072 0.89
8  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.25% 13,456 1.03
9  Russian federationStanislav752 elorank 10,137 16d 18:54:07h 13,654 4.18% 13,326 1.02
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.53% 10,412 1.11
11  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.30% 5,572 1.93
12  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.83% 14,654 0.63
13  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.35% 5,238 1.47
14  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.81% 7,910 0.75
16  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.53% 11,872 0.42
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.46% 6,249 0.76
18  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.31% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,930 3d 23:43:55h 4,163 1.27% 3,618 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 3 times 15
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 41 times 164
6 Start Defusing the Bomb Without a Defuse Kit 56 times 0
7 Domination (4 kills) 365 times 1,095
8 Defuse the Bomb 459 times 4,590
9 Start Defusing the Bomb With a Defuse Kit 613 times 0
10 Revenge 1,497 times 4,491
11 Triple Kill (3 kills) 2,200 times 4,400
12 Domination 2,850 times 14,250
13 Plant the Bomb 3,786 times 37,860
14 Double Kill (2 kills) 9,400 times 9,400
15 Drop the Bomb 11,468 times -22936
16 Round MVP 14,993 times 0
17 Pick up the Bomb 20,089 times 40,178
18 Headshot 23,344 times 23,344




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,369 times -11845
2 Revenge 1,679 times -5037




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,197 times 22.04%
2 Terrorist 2,738 times 27.46%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-ascending.gif Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 High Explosive Grenade 1.80 2,173 0.66% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,559 0.48% 2 0.00% 0.00
4 H&K UMP45 1.20 27 0.01% 13 0.01% 0.48
5 Benelli/H&K M4 Super 90 XM1014 1.10 50 0.02% 18 0.01% 0.36
6 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
7 Steyr Tactical Machine Pistol 1.50 50 0.02% 23 0.02% 0.46
8 Ingram MAC-10 1.50 67 0.02% 27 0.02% 0.40
9 H&K MP5-Navy 1.20 59 0.02% 27 0.02% 0.46
10 FN Five-Seven 1.50 60 0.02% 30 0.02% 0.50
11 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
12 Glock 18 Select Fire 1.40 84 0.03% 40 0.03% 0.48
13 Galil 1.10 111 0.03% 45 0.04% 0.41
14 H&K USP .45 Tactical 1.40 121 0.04% 65 0.05% 0.54
15 Dual Beretta 96G Elite 1.40 211 0.06% 100 0.08% 0.47
16 Benelli M3 Super 90 Combat 1.20 530 0.16% 230 0.19% 0.43
17 Arctic Warfare Magnum (Police) 1.00 2,025 0.62% 343 0.28% 0.17
18 Sig Sauer SG-552 Commando 1.00 840 0.26% 368 0.30% 0.44
19 Sig Sauer P-228 1.50 1,294 0.40% 554 0.46% 0.43
20 FN P90 1.20 1,671 0.51% 735 0.60% 0.44
21 M249 PARA Light Machine Gun 1.20 2,143 0.66% 1,024 0.84% 0.48
22 Desert Eagle .50AE 1.20 5,957 1.82% 3,401 2.79% 0.57
23 Steyr Scout 1.10 5,457 1.67% 3,433 2.82% 0.63
24 Colt M4A1 Carbine 1.00 10,308 3.15% 4,743 3.90% 0.46
25 Kalashnikov AK-47 1.00 15,617 4.78% 8,086 6.64% 0.52




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif 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 H&K UMP45 1,884 228 4,556 13 26 13.0000 12.1% 20.0 72.5
4 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
5 Steyr Tactical Machine Pistol 2,977 386 6,792 22 49 49.0000 13.0% 17.6 60.8
6 Benelli/H&K M4 Super 90 XM1014 1,018 619 7,334 18 50 10.0000 60.8% 11.8 20.4
7 H&K MP5-Navy 2,474 555 9,396 26 57 11.4000 22.4% 16.9 43.4
8 FN Five-Seven 1,333 332 8,934 31 61 30.5000 24.9% 26.9 21.9
9 Ingram MAC-10 2,373 424 7,620 26 64 64.0000 17.9% 18.0 37.1
10 Steyr Aug 2,587 352 10,619 33 67 8.3750 13.6% 30.2 38.6
11 Glock 18 Select Fire 4,788 774 13,022 39 82 5.4667 16.2% 16.8 58.4
12 Galil 2,919 453 15,297 45 111 55.5000 15.5% 33.8 26.3
13 H&K USP .45 Tactical 4,726 882 17,845 64 120 9.2308 18.7% 20.2 39.4
14 Dual Beretta 96G Elite 5,260 1,039 29,309 100 211 70.3333 19.8% 28.2 24.9
15 Bundeswehr Advanced Combat Knife 10,722 1,119 59,418 2 389 1.6074 10.4% 53.1 27.6
16 Benelli M3 Super 90 Combat 2,529 5,008 72,415 230 530 1.8794 198.0% 14.5 4.8
17 Sig Sauer SG-552 Commando 62,644 4,201 121,498 368 841 36.5652 6.7% 28.9 74.5
18 Sig Sauer P-228 34,943 5,543 169,641 554 1,294 20.8710 15.9% 30.6 27.0
19 FN P90 81,014 9,431 220,546 735 1,671 10.9216 11.6% 23.4 48.5
20 Arctic Warfare Magnum (Police) 8,587 2,931 393,122 343 2,026 4.9657 34.1% 134.1 4.2
21 M249 PARA Light Machine Gun 111,119 8,123 300,452 1,025 2,144 12.9157 7.3% 37.0 51.8
22 Steyr Scout 44,985 13,304 1,252,622 3,426 5,451 2.2741 29.6% 94.2 8.3
23 Desert Eagle .50AE 65,057 16,605 867,120 3,398 5,953 4.0970 25.5% 52.2 10.9
24 Colt M4A1 Carbine 356,522 45,380 1,446,677 4,740 10,305 11.6837 12.7% 31.9 34.6
25 Kalashnikov AK-47 508,767 56,177 2,199,350 8,078 15,606 8.7087 11.0% 39.2 32.6




  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 48 22.9% 70.8% 6.3%
4 Fusil Automatique 183 22.4% 63.4% 14.2%
5 H&K UMP45 228 24.1% 54.8% 21.1%
6 FN Five-Seven 332 23.8% 61.7% 14.5%
7 Steyr Aug 352 27.6% 57.1% 15.3%
8 Steyr Tactical Machine Pistol 386 25.9% 62.7% 11.4%
9 Ingram MAC-10 424 25.9% 61.1% 13.0%
10 Galil 453 27.6% 57.8% 14.6%
11 H&K MP5-Navy 555 26.8% 58.2% 15.0%
12 Benelli/H&K M4 Super 90 XM1014 619 29.2% 53.0% 17.8%
13 Glock 18 Select Fire 774 26.5% 62.1% 11.4%
14 H&K USP .45 Tactical 882 25.6% 61.3% 13.0%
15 Dual Beretta 96G Elite 1,039 24.8% 61.6% 13.6%
16 Arctic Warfare Magnum (Police) 2,931 33.0% 57.0% 10.0%
17 Sig Sauer SG-552 Commando 4,201 29.3% 55.6% 15.0%
18 Benelli M3 Super 90 Combat 5,008 29.9% 57.1% 13.0%
19 Sig Sauer P-228 5,543 28.8% 57.5% 13.7%
20 M249 PARA Light Machine Gun 8,123 28.3% 56.7% 15.0%
21 FN P90 9,431 28.0% 56.2% 15.9%
22 Steyr Scout 13,279 26.6% 64.6% 8.9%
23 Desert Eagle .50AE 16,605 26.3% 61.7% 12.0%
24 Colt M4A1 Carbine 45,380 27.8% 59.1% 13.1%
25 Kalashnikov AK-47 56,177 27.2% 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 / 327028 * 100, 2) AS kpercent,
			ROUND(headshots / 121740 * 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