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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: 11,666
Total Kills: 343,344
Total Deaths: 295,375
Avg. Kills: 12,262
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 10:18:30h
Avg. Connection Time: 13d 17:30:39h
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 9,882 8d 05:06:37h 5,390 1.57% 8,137 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 4.70% 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-descending.gif Points Bonus
1 Headshot 26,801 times 26,801
2 Pick up the Bomb 22,714 times 45,428
3 Round MVP 16,961 times 0
4 Drop the Bomb 12,636 times -25272
5 Double Kill (2 kills) 10,722 times 10,722
6 Plant the Bomb 4,745 times 47,450
7 Domination 3,335 times 16,675
8 Triple Kill (3 kills) 2,580 times 5,160
9 Revenge 1,652 times 4,956
10 Start Defusing the Bomb With a Defuse Kit 701 times 0
11 Defuse the Bomb 505 times 5,050
12 Domination (4 kills) 450 times 1,350
13 Start Defusing the Bomb Without a Defuse Kit 67 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 2,664 times -13320
2 Revenge 1,951 times -5853




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,146 times 28.06%
2 Counter-Terrorist 2,402 times 21.42%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-ascending.gif
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 High Explosive Grenade 1.80 2,491 0.73% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,684 0.49% 2 0.00% 0.00
4 Arctic Warfare Magnum (Police) 1.00 2,397 0.70% 394 0.30% 0.16
5 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
6 Galil 1.10 120 0.03% 50 0.04% 0.42
7 Benelli M3 Super 90 Combat 1.20 629 0.18% 263 0.20% 0.42
8 Sig Sauer P-228 1.50 1,266 0.37% 534 0.41% 0.42
9 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
10 FN P90 1.20 1,513 0.44% 670 0.52% 0.44
11 Colt M4A1 Carbine 1.00 11,623 3.39% 5,242 4.04% 0.45
12 Sig Sauer SG-552 Commando 1.00 980 0.29% 437 0.34% 0.45
13 Dual Beretta 96G Elite 1.40 224 0.07% 102 0.08% 0.46
14 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
15 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
16 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
17 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
18 Glock 18 Select Fire 1.40 102 0.03% 50 0.04% 0.49
19 M249 PARA Light Machine Gun 1.20 2,150 0.63% 1,051 0.81% 0.49
20 Ingram MAC-10 1.50 121 0.04% 60 0.05% 0.50
21 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
22 Kalashnikov AK-47 1.00 19,593 5.71% 9,925 7.66% 0.51
23 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
24 Desert Eagle .50AE 1.20 6,393 1.86% 3,576 2.76% 0.56
25 Steyr Scout 1.10 5,780 1.68% 3,633 2.80% 0.63




  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 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
5 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
6 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
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 5,043 882 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 5,055 854 15,560 59 118 29.5000 16.9% 18.2 42.8
12 Galil 3,367 498 16,652 50 120 60.0000 14.8% 33.4 28.1
13 H&K USP .45 Tactical 5,149 929 19,232 67 133 10.2308 18.0% 20.7 38.7
14 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
15 Bundeswehr Advanced Combat Knife 12,258 1,192 62,245 2 416 1.7479 9.7% 52.2 29.5
16 Benelli M3 Super 90 Combat 2,836 5,730 82,840 263 629 2.1037 202.0% 14.5 4.5
17 Sig Sauer SG-552 Commando 74,592 5,062 146,497 450 996 38.3077 6.8% 28.9 74.9
18 Sig Sauer P-228 34,062 5,258 162,300 534 1,266 23.8868 15.4% 30.9 26.9
19 FN P90 75,808 8,583 200,836 670 1,513 10.0199 11.3% 23.4 50.1
20 M249 PARA Light Machine Gun 111,918 8,264 312,196 1,103 2,208 13.3012 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 46,335 13,935 1,333,289 3,626 5,774 2.4088 30.1% 95.7 8.0
23 Desert Eagle .50AE 69,251 17,926 935,638 3,610 6,433 4.3702 25.9% 52.2 10.8
24 Colt M4A1 Carbine 415,924 51,401 1,631,599 5,239 11,620 11.0142 12.4% 31.7 35.8
25 Kalashnikov AK-47 596,041 70,965 2,809,728 10,353 20,121 9.1501 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 214 22.0% 63.6% 14.5%
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-10 854 26.7% 58.4% 14.9%
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 1,119 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,468 32.7% 57.5% 9.8%
17 Sig Sauer SG-552 Commando 5,062 28.9% 55.9% 15.2%
18 Sig Sauer P-228 5,258 28.8% 57.4% 13.8%
19 Benelli M3 Super 90 Combat 5,730 29.5% 57.5% 13.0%
20 M249 PARA Light Machine Gun 8,264 28.2% 57.4% 14.4%
21 FN P90 8,583 28.0% 56.3% 15.7%
22 Steyr Scout 13,910 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 17,926 26.2% 61.8% 12.0%
24 Colt M4A1 Carbine 51,401 27.8% 59.1% 13.0%
25 Kalashnikov AK-47 70,965 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 / 343344 * 100, 2) AS kpercent,
			ROUND(headshots / 129634 * 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