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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.17%
Members: 28 active members (74 total)
Avg. Member Points: 11,672
Total Kills: 343,056
Total Deaths: 295,088
Avg. Kills: 12,252
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 02:28:13h
Avg. Connection Time: 13d 17:13:51h
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 2.70% 14,654 0.63
2  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.12% 15,207 1.15
3  Russian federationBISON elorank 9,885 8d 02:54:59h 5,337 1.56% 8,042 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 12.28% 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 10,086 2d 00:17:56h 1,767 0.52% 1,770 1.00
12  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,995 3d 11:45:55h 3,315 0.97% 3,490 0.95
13  Russian federationSprut elorank 9,350 2d 04:11:57h 1,728 0.50% 2,235 0.77
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 Points Bonus sort-descending.gif
1 Plant the Bomb 4,743 times 47,430
2 Pick up the Bomb 22,713 times 45,426
3 Headshot 26,753 times 26,753
4 Domination 3,327 times 16,635
5 Double Kill (2 kills) 10,705 times 10,705
6 Triple Kill (3 kills) 2,570 times 5,140
7 Defuse the Bomb 500 times 5,000
8 Revenge 1,646 times 4,938
9 Domination (4 kills) 453 times 1,359
10 Rampage (5 kills) 48 times 192
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 66 times 0
15 Start Defusing the Bomb With a Defuse Kit 697 times 0
16 Round MVP 16,951 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,645 times -25290




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,656 times -13280
2 Revenge 1,947 times -5841




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,143 times 28.08%
2 Counter-Terrorist 2,395 times 21.40%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,630 5.72% 9,952 7.69% 0.51
2 Colt M4A1 Carbine 1.00 11,573 3.37% 5,215 4.03% 0.45
3 Desert Eagle .50AE 1.20 6,362 1.85% 3,562 2.75% 0.56
4 Steyr Scout 1.10 5,756 1.68% 3,615 2.79% 0.63
5 High Explosive Grenade 1.80 2,484 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,383 0.69% 389 0.30% 0.16
7 M249 PARA Light Machine Gun 1.20 2,133 0.62% 1,044 0.81% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,680 0.49% 2 0.00% 0.00
9 FN P90 1.20 1,499 0.44% 665 0.51% 0.44
10 Sig Sauer P-228 1.50 1,268 0.37% 535 0.41% 0.42
11 Sig Sauer SG-552 Commando 1.00 977 0.28% 436 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 635 0.19% 266 0.21% 0.42
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.08% 0.45
14 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.03% 59 0.05% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
18 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
19 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 45 0.01% 22 0.02% 0.49
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) 9,994 3,453 462,286 396 2,391 5.0443 34.6% 133.9 4.2
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 46,079 13,859 1,327,146 3,608 5,750 2.4150 30.1% 95.8 8.0
5 Bundeswehr Advanced Combat Knife 12,289 1,196 62,468 2 418 1.7563 9.7% 52.2 29.4
6 Desert Eagle .50AE 68,745 17,833 931,350 3,596 6,402 4.3909 25.9% 52.2 10.7
7 Kalashnikov AK-47 598,602 71,078 2,815,527 10,380 20,158 9.1461 11.9% 39.6 29.7
8 M249 PARA Light Machine Gun 111,278 8,202 309,977 1,096 2,191 13.1988 7.4% 37.8 50.8
9 Galil 3,367 498 16,652 50 120 60.0000 14.8% 33.4 28.1
10 Colt M4A1 Carbine 414,911 51,216 1,625,057 5,212 11,570 10.9668 12.3% 31.7 35.9
11 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
12 Sig Sauer P-228 34,074 5,262 162,539 535 1,268 23.9245 15.4% 30.9 26.9
13 Steyr Aug 3,030 429 12,653 40 81 11.5714 14.2% 29.5 37.4
14 Sig Sauer SG-552 Commando 74,521 5,043 146,006 449 993 38.1923 6.8% 29.0 75.0
15 Dual Beretta 96G Elite 5,489 1,103 30,605 101 222 74.0000 20.1% 27.7 24.7
16 FN Five-Seven 1,289 334 8,810 29 60 30.0000 25.9% 26.4 21.5
17 FN P90 75,153 8,501 198,998 665 1,499 10.1284 11.3% 23.4 50.1
18 H&K USP .45 Tactical 5,145 929 19,232 67 133 10.2308 18.1% 20.7 38.7
19 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
20 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
21 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
22 Glock 18 Select Fire 5,060 886 15,670 50 102 6.8000 17.5% 17.7 49.6
23 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
24 Benelli M3 Super 90 Combat 2,852 5,763 83,602 266 635 2.1026 202.1% 14.5 4.5
25 Benelli/H&K M4 Super 90 XM1014 1,356 947 11,129 28 77 15.4000 69.8% 11.8 17.6




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 71,078 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,216 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 17,833 26.2% 61.8% 12.0%
4 Steyr Scout 13,834 26.3% 65.0% 8.7%
5 FN P90 8,501 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 8,202 28.2% 57.4% 14.4%
7 Benelli M3 Super 90 Combat 5,763 29.5% 57.5% 13.0%
8 Sig Sauer P-228 5,262 28.8% 57.4% 13.7%
9 Sig Sauer SG-552 Commando 5,043 28.9% 55.9% 15.2%
10 Arctic Warfare Magnum (Police) 3,453 32.7% 57.5% 9.9%
11 Dual Beretta 96G Elite 1,103 24.9% 61.6% 13.5%
12 Benelli/H&K M4 Super 90 XM1014 947 27.0% 56.5% 16.5%
13 H&K USP .45 Tactical 929 25.1% 62.5% 12.4%
14 H&K MP5-Navy 901 28.6% 56.6% 14.8%
15 Glock 18 Select Fire 886 26.2% 62.5% 11.3%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Steyr Tactical Machine Pistol 503 25.8% 63.0% 11.1%
18 Galil 498 28.7% 55.6% 15.7%
19 Steyr Aug 429 28.0% 56.6% 15.4%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 203 22.2% 64.5% 13.3%
23 Bundeswehr Advanced Combat Knife 55 23.6% 69.1% 7.3%
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 / 343056 * 100, 2) AS kpercent,
			ROUND(headshots / 129492 * 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