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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.60%
Members: 28 active members (74 total)
Avg. Member Points: 11,676
Total Kills: 343,507
Total Deaths: 295,520
Avg. Kills: 12,268
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 14:35:51h
Avg. Connection Time: 13d 17:39:51h
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 10,018 8d 07:02:43h 5,438 1.58% 8,214 0.66
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.60% 12,180 1.58
5  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.26% 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 5.80% 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 3.36% 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 7.25% 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 26,876 times 26,876
2 Pick up the Bomb 22,748 times 45,496
3 Round MVP 16,996 times 0
4 Drop the Bomb 12,658 times -25316
5 Double Kill (2 kills) 10,751 times 10,751
6 Plant the Bomb 4,753 times 47,530
7 Domination 3,340 times 16,700
8 Triple Kill (3 kills) 2,588 times 5,176
9 Revenge 1,654 times 4,962
10 Start Defusing the Bomb With a Defuse Kit 703 times 0
11 Defuse the Bomb 507 times 5,070
12 Domination (4 kills) 452 times 1,356
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 2,668 times -13340
2 Revenge 1,954 times -5862




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,153 times 28.05%
2 Counter-Terrorist 2,410 times 21.44%




  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 2,501 0.73% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,686 0.49% 2 0.00% 0.00
4 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
5 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
6 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
7 Benelli/H&K M4 Super 90 XM1014 1.10 78 0.02% 29 0.02% 0.37
8 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
9 Steyr Aug 1.00 81 0.02% 39 0.03% 0.48
10 H&K MP5-Navy 1.20 106 0.03% 46 0.04% 0.43
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 Glock 18 Select Fire 1.40 102 0.03% 50 0.04% 0.49
13 Ingram MAC-10 1.50 121 0.04% 60 0.05% 0.50
14 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
15 Dual Beretta 96G Elite 1.40 224 0.07% 102 0.08% 0.46
16 Benelli M3 Super 90 Combat 1.20 632 0.18% 265 0.20% 0.42
17 Arctic Warfare Magnum (Police) 1.00 2,400 0.70% 396 0.31% 0.17
18 Sig Sauer SG-552 Commando 1.00 980 0.29% 437 0.34% 0.45
19 Sig Sauer P-228 1.50 1,266 0.37% 534 0.41% 0.42
20 FN P90 1.20 1,519 0.44% 671 0.52% 0.44
21 M249 PARA Light Machine Gun 1.20 2,170 0.63% 1,060 0.82% 0.49
22 Desert Eagle .50AE 1.20 6,415 1.87% 3,590 2.77% 0.56
23 Steyr Scout 1.10 5,797 1.69% 3,645 2.81% 0.63
24 Colt M4A1 Carbine 1.00 11,663 3.40% 5,261 4.06% 0.45
25 Kalashnikov AK-47 1.00 19,630 5.71% 9,939 7.66% 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 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
5 Steyr Tactical Machine Pistol 4,052 506 9,025 29 59 59.0000 12.5% 17.8 68.7
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 1,358 953 11,245 29 78 15.6000 70.2% 11.8 17.4
8 Steyr Aug 3,072 434 12,774 40 82 11.7143 14.1% 29.4 37.5
9 Glock 18 Select Fire 5,051 885 15,612 49 100 6.6667 17.5% 17.6 50.5
10 H&K MP5-Navy 4,978 911 15,231 45 104 11.5556 18.3% 16.7 47.9
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 12,264 1,192 62,245 2 416 1.7479 9.7% 52.2 29.5
16 Benelli M3 Super 90 Combat 2,845 5,747 83,132 265 632 2.1137 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 76,011 8,618 201,538 671 1,519 9.9281 11.3% 23.4 50.0
20 M249 PARA Light Machine Gun 112,828 8,347 314,798 1,112 2,228 13.4217 7.4% 37.7 50.6
21 Arctic Warfare Magnum (Police) 10,035 3,472 466,326 403 2,408 5.0588 34.6% 134.3 4.2
22 Steyr Scout 46,477 13,979 1,337,270 3,638 5,791 2.4049 30.1% 95.7 8.0
23 Desert Eagle .50AE 69,525 17,993 938,937 3,624 6,455 4.3792 25.9% 52.2 10.8
24 Colt M4A1 Carbine 417,197 51,598 1,637,948 5,258 11,660 11.0312 12.4% 31.7 35.8
25 Kalashnikov AK-47 596,983 71,113 2,814,862 10,367 20,158 9.1378 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 434 27.9% 56.9% 15.2%
8 Galil 498 28.7% 55.6% 15.7%
9 Steyr Tactical Machine Pistol 506 25.9% 63.0% 11.1%
10 Ingram MAC-10 854 26.7% 58.4% 14.9%
11 Glock 18 Select Fire 885 26.2% 62.4% 11.4%
12 H&K MP5-Navy 911 28.4% 56.9% 14.7%
13 H&K USP .45 Tactical 929 25.1% 62.5% 12.4%
14 Benelli/H&K M4 Super 90 XM1014 953 27.0% 56.7% 16.4%
15 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,472 32.6% 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 5,747 29.4% 57.5% 13.1%
20 M249 PARA Light Machine Gun 8,347 28.2% 57.4% 14.4%
21 FN P90 8,618 28.0% 56.3% 15.7%
22 Steyr Scout 13,954 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 17,993 26.2% 61.8% 12.1%
24 Colt M4A1 Carbine 51,598 27.8% 59.1% 13.0%
25 Kalashnikov AK-47 71,113 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 / 343507 * 100, 2) AS kpercent,
			ROUND(headshots / 129709 * 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