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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.57%
Members: 28 active members (74 total)
Avg. Member Points: 11,652
Total Kills: 343,184
Total Deaths: 295,222
Avg. Kills: 12,257
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 06:20:59h
Avg. Connection Time: 13d 17:22:10h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-ascending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.69% 14,654 0.63
2  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.11% 15,207 1.15
3  Russian federationBISON elorank 9,781 8d 03:29:56h 5,353 1.56% 8,065 0.66
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.61% 12,180 1.58
5  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.27% 38,689 1.09
6  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.72% 7,910 0.75
7  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.81% 22,106 0.90
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.25% 3,263 1.31
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.71% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.37% 10,412 1.11
11  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.52% 1,789 1.00
12  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.97% 3,500 0.95
13  Russian federationSprut elorank 9,306 2d 04:35:36h 1,743 0.51% 2,249 0.78
14  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.77% 12,310 1.05
15  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.30% 5,036 0.88
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.26% 24,192 1.03
17  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
18  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
19  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.04% 13,411 1.03
20  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02


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) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 67 times 0
7 Domination (4 kills) 450 times 1,350
8 Defuse the Bomb 500 times 5,000
9 Start Defusing the Bomb With a Defuse Kit 696 times 0
10 Revenge 1,645 times 4,935
11 Triple Kill (3 kills) 2,569 times 5,138
12 Domination 3,322 times 16,610
13 Plant the Bomb 4,731 times 47,310
14 Double Kill (2 kills) 10,694 times 10,694
15 Drop the Bomb 12,598 times -25196
16 Round MVP 16,906 times 0
17 Pick up the Bomb 22,648 times 45,296
18 Headshot 26,718 times 26,718




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,655 times -13275
2 Revenge 1,942 times -5826




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,139 times 28.04%
2 Counter-Terrorist 2,399 times 21.43%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
3 Fusil Automatique 1.00 45 0.01% 22 0.02% 0.49
4 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
5 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
6 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
7 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
8 Glock 18 Select Fire 1.40 102 0.03% 50 0.04% 0.49
9 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
10 Ingram MAC-10 1.50 118 0.03% 59 0.05% 0.50
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
13 Dual Beretta 96G Elite 1.40 223 0.06% 102 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 629 0.18% 263 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 978 0.28% 437 0.34% 0.45
16 Sig Sauer P-228 1.50 1,266 0.37% 534 0.41% 0.42
17 FN P90 1.20 1,503 0.44% 667 0.51% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,677 0.49% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,148 0.63% 1,050 0.81% 0.49
20 Arctic Warfare Magnum (Police) 1.00 2,397 0.70% 394 0.30% 0.16
21 High Explosive Grenade 1.80 2,488 0.72% 0 0.00% 0.00
22 Steyr Scout 1.10 5,753 1.68% 3,612 2.79% 0.63
23 Desert Eagle .50AE 1.20 6,359 1.85% 3,559 2.75% 0.56
24 Colt M4A1 Carbine 1.00 11,585 3.38% 5,221 4.03% 0.45
25 Kalashnikov AK-47 1.00 19,563 5.70% 9,907 7.65% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
4 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
5 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
6 FN Five-Seven 1,289 334 8,810 29 60 30.0000 25.9% 26.4 21.5
7 Benelli/H&K M4 Super 90 XM1014 1,356 947 11,129 28 77 15.4000 69.8% 11.8 17.6
8 Steyr Aug 3,030 429 12,653 40 81 11.5714 14.2% 29.5 37.4
9 Glock 18 Select Fire 5,039 882 15,577 49 100 6.6667 17.5% 17.7 50.4
10 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Galil 3,367 498 16,652 50 120 60.0000 14.8% 33.4 28.1
13 H&K USP .45 Tactical 5,146 929 19,232 67 133 10.2308 18.1% 20.7 38.7
14 Dual Beretta 96G Elite 5,620 1,113 30,820 102 223 74.3333 19.8% 27.7 25.2
15 Bundeswehr Advanced Combat Knife 12,252 1,187 61,972 2 415 1.7585 9.7% 52.2 29.5
16 Benelli M3 Super 90 Combat 2,834 5,723 82,766 263 629 2.1107 201.9% 14.5 4.5
17 Sig Sauer SG-552 Commando 74,554 5,047 146,166 450 994 38.2308 6.8% 29.0 75.0
18 Sig Sauer P-228 34,055 5,258 162,300 534 1,266 23.8868 15.4% 30.9 26.9
19 FN P90 75,337 8,529 199,615 667 1,503 10.1554 11.3% 23.4 50.1
20 M249 PARA Light Machine Gun 111,804 8,256 311,847 1,102 2,206 13.2892 7.4% 37.8 50.7
21 Arctic Warfare Magnum (Police) 10,030 3,468 465,437 401 2,405 5.0525 34.6% 134.2 4.2
22 Steyr Scout 46,105 13,861 1,326,548 3,605 5,747 2.4117 30.1% 95.7 8.0
23 Desert Eagle .50AE 68,823 17,841 931,265 3,593 6,399 4.3709 25.9% 52.2 10.8
24 Colt M4A1 Carbine 415,120 51,257 1,626,236 5,218 11,582 10.9782 12.3% 31.7 35.8
25 Kalashnikov AK-47 595,291 70,869 2,805,619 10,335 20,091 9.1531 11.9% 39.6 29.6




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 55 23.6% 69.1% 7.3%
4 Fusil Automatique 203 22.2% 64.5% 13.3%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 334 23.7% 62.0% 14.4%
7 Steyr Aug 429 28.0% 56.6% 15.4%
8 Galil 498 28.7% 55.6% 15.7%
9 Steyr Tactical Machine Pistol 503 25.8% 63.0% 11.1%
10 Ingram MAC-10 826 26.6% 59.0% 14.4%
11 Glock 18 Select Fire 882 26.1% 62.6% 11.3%
12 H&K MP5-Navy 901 28.6% 56.6% 14.8%
13 H&K USP .45 Tactical 929 25.1% 62.5% 12.4%
14 Benelli/H&K M4 Super 90 XM1014 947 27.0% 56.5% 16.5%
15 Dual Beretta 96G Elite 1,113 24.9% 61.7% 13.4%
16 Arctic Warfare Magnum (Police) 3,468 32.7% 57.5% 9.8%
17 Sig Sauer SG-552 Commando 5,047 28.8% 55.9% 15.2%
18 Sig Sauer P-228 5,258 28.8% 57.4% 13.8%
19 Benelli M3 Super 90 Combat 5,723 29.4% 57.5% 13.0%
20 M249 PARA Light Machine Gun 8,256 28.2% 57.4% 14.4%
21 FN P90 8,529 28.0% 56.4% 15.6%
22 Steyr Scout 13,836 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 17,841 26.2% 61.8% 12.0%
24 Colt M4A1 Carbine 51,257 27.8% 59.1% 13.0%
25 Kalashnikov AK-47 70,869 27.1% 59.1% 13.8%


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 / 343184 * 100, 2) AS kpercent,
			ROUND(headshots / 129551 * 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