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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.64%
Members: 31 active members (74 total)
Avg. Member Points: 11,487
Total Kills: 368,307
Total Deaths: 298,936
Avg. Kills: 11,881
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 394d 11:51:28h
Avg. Connection Time: 12d 17:24:53h
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 Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.39% 38,555 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.61% 31,203 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.77% 24,192 1.03
4  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.41% 22,106 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.39% 18,072 0.89
6  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.83% 16,883 1.93
7  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.38% 15,929 1.48
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.77% 15,207 1.15
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
10  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.22% 12,150 1.58
11  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
12  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.14% 10,991 1.05
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.14% 10,412 1.11
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.61% 7,910 0.75
15  Russian federationBISON elorank 7,929 7d 00:53:17h 4,634 1.26% 7,046 0.66
16  Russian federation⇜Ṧ†êrvå⇝ elorank 8,971 6d 00:52:09h 4,381 1.19% 5,729 0.76
17  Ukrainegusenica elorank 15,378 7d 03:25:49h 7,251 1.97% 5,709 1.27
18  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
19  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.20% 5,009 0.89
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.85% 3,278 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,450 times 31,450
2 Pick up the Bomb 26,146 times 52,292
3 Round MVP 19,203 times 0
4 Drop the Bomb 14,029 times -28058
5 Double Kill (2 kills) 12,117 times 12,117
6 Plant the Bomb 5,923 times 59,230
7 Domination 3,890 times 19,450
8 Triple Kill (3 kills) 3,086 times 6,172
9 Revenge 1,803 times 5,409
10 Start Defusing the Bomb With a Defuse Kit 765 times 0
11 Defuse the Bomb 565 times 5,650
12 Domination (4 kills) 562 times 1,686
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 63 times 252
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 2,928 times -14640
2 Revenge 2,282 times -6846




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,492 times 28.23%
2 Counter-Terrorist 2,602 times 21.04%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,668 0.45% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,773 0.75% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 70 0.02% 38 0.03% 0.54
4 Sig Sauer P-228 1.50 1,159 0.31% 463 0.34% 0.40
5 Ingram MAC-10 1.50 126 0.03% 62 0.04% 0.49
6 FN Five-Seven 1.50 57 0.02% 27 0.02% 0.47
7 H&K USP .45 Tactical 1.40 150 0.04% 73 0.05% 0.49
8 Glock 18 Select Fire 1.40 113 0.03% 52 0.04% 0.46
9 Dual Beretta 96G Elite 1.40 180 0.05% 85 0.06% 0.47
10 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
11 FN P90 1.20 1,573 0.43% 671 0.49% 0.43
12 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
13 Benelli M3 Super 90 Combat 1.20 853 0.23% 336 0.24% 0.39
14 M249 PARA Light Machine Gun 1.20 2,119 0.58% 1,090 0.79% 0.51
15 Desert Eagle .50AE 1.20 6,689 1.82% 3,610 2.62% 0.54
16 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
17 Steyr Scout 1.10 6,671 1.81% 4,012 2.91% 0.60
18 Galil 1.10 117 0.03% 49 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 1,062 0.29% 474 0.34% 0.45
20 Colt M4A1 Carbine 1.00 12,923 3.51% 5,794 4.20% 0.45
21 Fusil Automatique 1.00 46 0.01% 21 0.02% 0.46
22 Arctic Warfare Magnum (Police) 1.00 3,122 0.85% 512 0.37% 0.16
23 Steyr Aug 1.00 93 0.03% 44 0.03% 0.47
24 Kalashnikov AK-47 1.00 24,015 6.52% 12,047 8.73% 0.50
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 694,167 88,496 3,549,059 13,364 25,679 9.4028 12.7% 40.1 27.0
2 Colt M4A1 Carbine 445,688 56,810 1,804,491 5,798 12,927 11.0393 12.7% 31.8 34.5
3 Desert Eagle .50AE 72,600 19,354 1,019,955 3,934 7,070 4.5820 26.7% 52.7 10.3
4 Steyr Scout 52,227 16,396 1,570,423 4,061 6,759 2.6006 31.4% 95.8 7.7
5 Arctic Warfare Magnum (Police) 12,610 4,436 601,748 519 3,130 5.3504 35.2% 135.7 4.0
6 M249 PARA Light Machine Gun 103,954 8,192 320,436 1,204 2,268 14.5385 7.9% 39.1 45.8
7 FN P90 77,826 8,898 206,224 671 1,573 9.8313 11.4% 23.2 49.5
8 Sig Sauer P-228 28,938 4,739 145,982 463 1,159 24.1458 16.4% 30.8 25.0
9 Sig Sauer SG-552 Commando 76,723 5,387 157,619 487 1,078 38.5000 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,791 7,731 109,986 336 853 2.3827 203.9% 14.2 4.4
11 Bundeswehr Advanced Combat Knife 20,657 1,426 75,248 2 502 1.8321 6.9% 52.8 41.1
12 Dual Beretta 96G Elite 4,582 878 24,854 85 180 60.0000 19.2% 28.3 25.5
13 H&K USP .45 Tactical 5,804 1,045 21,463 72 149 7.4500 18.0% 20.5 39.0
14 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
15 Galil 3,313 495 16,217 49 117 58.5000 14.9% 32.8 28.3
16 Glock 18 Select Fire 5,413 983 16,731 51 111 7.4000 18.2% 17.0 48.8
17 H&K MP5-Navy 5,036 897 14,865 43 101 10.1000 17.8% 16.6 49.9
18 Steyr Aug 3,347 479 14,284 44 93 11.6250 14.3% 29.8 36.0
19 Benelli/H&K M4 Super 90 XM1014 1,451 979 11,467 28 79 13.1667 67.5% 11.7 18.4
20 Steyr Tactical Machine Pistol 4,158 582 10,535 38 70 70.0000 14.0% 18.1 59.4
21 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
22 Fusil Automatique 1,149 216 6,577 20 44 44.0000 18.8% 30.4 26.1
23 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 88,496 26.8% 59.8% 13.4%
2 Colt M4A1 Carbine 56,810 27.6% 59.4% 13.0%
3 Desert Eagle .50AE 19,354 25.9% 62.1% 12.0%
4 Steyr Scout 16,371 26.6% 65.0% 8.4%
5 FN P90 8,898 28.5% 56.1% 15.4%
6 M249 PARA Light Machine Gun 8,192 27.5% 58.9% 13.6%
7 Benelli M3 Super 90 Combat 7,731 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,387 28.6% 56.3% 15.1%
9 Sig Sauer P-228 4,739 29.2% 57.1% 13.7%
10 Arctic Warfare Magnum (Police) 4,436 32.1% 58.3% 9.6%
11 H&K USP .45 Tactical 1,045 25.7% 61.9% 12.3%
12 Glock 18 Select Fire 983 26.4% 61.0% 12.5%
13 Benelli/H&K M4 Super 90 XM1014 979 27.2% 56.1% 16.8%
14 H&K MP5-Navy 897 28.9% 56.2% 14.9%
15 Ingram MAC-10 891 26.7% 59.1% 14.1%
16 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
17 Steyr Tactical Machine Pistol 582 24.9% 64.6% 10.5%
18 Galil 495 26.9% 56.6% 16.6%
19 Steyr Aug 479 28.4% 56.4% 15.2%
20 FN Five-Seven 372 21.0% 65.1% 14.0%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 216 21.3% 63.9% 14.8%
23 Bundeswehr Advanced Combat Knife 64 17.2% 76.6% 6.3%
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 / 368307 * 100, 2) AS kpercent,
			ROUND(headshots / 137992 * 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