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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.16%
Members: 30 active members (75 total)
Avg. Member Points: 11,736
Total Kills: 374,858
Total Deaths: 312,023
Avg. Kills: 12,495
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 15:44:21h
Avg. Connection Time: 13d 14:55:28h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,028 46d 20:02:00h 68,946 18.39% 31,366 2.20
2  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.68% 16,883 1.93
3  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.21% 38,583 1.09
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.13% 12,180 1.58
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
7  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
8  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.32% 22,106 0.90
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.31% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
11  Russian federationStanislav752 elorank 10,874 15d 03:18:13h 12,560 3.35% 11,886 1.06
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
14  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
15  Russian federationубивашка 62 elorank 15,754 4d 11:09:17h 5,238 1.40% 3,672 1.43
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,352 6d 10:30:50h 4,688 1.25% 6,105 0.77
17  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 7,910 0.75
18  Russian federationBISON elorank 9,774 7d 19:10:20h 5,144 1.37% 7,757 0.66
19  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.33% 11,872 0.42
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 29,752 times 29,752
2 Pick up the Bomb 24,677 times 49,354
3 Round MVP 18,156 times 0
4 Drop the Bomb 13,542 times -27084
5 Double Kill (2 kills) 11,365 times 11,365
6 Plant the Bomb 5,322 times 53,220
7 Domination 3,558 times 17,790
8 Triple Kill (3 kills) 2,780 times 5,560
9 Revenge 1,764 times 5,292
10 Start Defusing the Bomb With a Defuse Kit 734 times 0
11 Defuse the Bomb 533 times 5,330
12 Domination (4 kills) 496 times 1,488
13 Start Defusing the Bomb Without a Defuse Kit 71 times 0
14 Rampage (5 kills) 51 times 204
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 Points Bonus sort-descending.gif
1 Revenge 2,116 times -6348
2 Domination 2,848 times -14240




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,355 times 27.90%
2 Counter-Terrorist 2,578 times 21.44%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,321 5.69% 10,712 7.65% 0.50
2 Colt M4A1 Carbine 1.00 12,259 3.27% 5,518 3.94% 0.45
3 Desert Eagle .50AE 1.20 6,724 1.79% 3,670 2.62% 0.55
4 Steyr Scout 1.10 6,537 1.74% 3,969 2.83% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,757 0.74% 451 0.32% 0.16
6 High Explosive Grenade 1.80 2,660 0.71% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,084 0.56% 1,036 0.74% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,671 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,468 0.39% 652 0.47% 0.44
10 Sig Sauer P-228 1.50 1,262 0.34% 526 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 1,008 0.27% 450 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 790 0.21% 318 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 114 0.03% 54 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
20 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 59 0.02% 31 0.02% 0.53
22 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
23 Fusil Automatique 1.00 40 0.01% 18 0.01% 0.45
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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-47 641,173 79,480 3,182,277 12,031 22,987 9.4093 12.4% 40.0 27.9
2 Colt M4A1 Carbine 434,854 54,331 1,719,099 5,522 12,263 10.6914 12.5% 31.6 35.5
3 Desert Eagle .50AE 74,637 19,608 1,027,305 3,994 7,105 4.5025 26.3% 52.4 10.5
4 Steyr Scout 53,803 16,034 1,532,092 4,025 6,642 2.5429 29.8% 95.6 8.1
5 Arctic Warfare Magnum (Police) 11,450 3,961 533,101 458 2,765 5.3173 34.6% 134.6 4.1
6 M249 PARA Light Machine Gun 109,380 8,243 315,429 1,150 2,233 13.7840 7.5% 38.3 49.0
7 FN P90 74,063 8,376 195,651 652 1,468 9.9189 11.3% 23.4 50.5
8 Sig Sauer P-228 32,017 5,138 159,973 526 1,262 22.9455 16.0% 31.1 25.4
9 Sig Sauer SG-552 Commando 75,188 5,163 150,019 463 1,024 39.3846 6.9% 29.1 73.4
10 Benelli M3 Super 90 Combat 3,488 7,131 101,666 318 790 2.3235 204.4% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,565 1,309 67,767 2 448 1.5610 6.1% 51.8 48.1
12 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
13 H&K USP .45 Tactical 5,636 1,007 20,954 72 147 10.5000 17.9% 20.8 38.3
14 Galil 3,713 534 17,592 52 125 62.5000 14.4% 32.9 29.7
15 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
16 Glock 18 Select Fire 5,448 985 17,083 53 112 7.4667 18.1% 17.3 48.6
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,418 976 11,452 29 80 16.0000 68.8% 11.7 17.7
20 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
21 Steyr Tactical Machine Pistol 3,871 492 8,827 31 59 59.0000 12.7% 17.9 65.6
22 Fusil Automatique 1,081 192 5,897 17 38 38.0000 17.8% 30.7 28.4
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
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 Left Middle sort-descending.gif 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 63 22.2% 73.0% 4.8%
4 FN Five-Seven 381 21.0% 65.6% 13.4%
5 Steyr Scout 16,009 26.3% 65.0% 8.7%
6 Fusil Automatique 192 20.3% 64.1% 15.6%
7 Steyr Tactical Machine Pistol 492 25.4% 63.0% 11.6%
8 H&K USP .45 Tactical 1,007 24.3% 62.9% 12.8%
9 Desert Eagle .50AE 19,608 25.8% 62.1% 12.1%
10 Glock 18 Select Fire 985 26.1% 61.5% 12.4%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Kalashnikov AK-47 79,480 26.6% 59.8% 13.5%
13 Colt M4A1 Carbine 54,331 27.7% 59.2% 13.0%
14 Ingram MAC-10 864 26.7% 58.9% 14.4%
15 Benelli M3 Super 90 Combat 7,131 29.1% 57.9% 13.0%
16 M249 PARA Light Machine Gun 8,243 28.0% 57.9% 14.1%
17 Arctic Warfare Magnum (Police) 3,961 32.4% 57.6% 10.0%
18 Sig Sauer P-228 5,138 29.1% 57.1% 13.8%
19 Steyr Aug 449 28.3% 56.8% 14.9%
20 H&K MP5-Navy 886 28.6% 56.5% 14.9%
21 FN P90 8,376 28.1% 56.4% 15.5%
22 Sig Sauer SG-552 Commando 5,163 28.8% 56.1% 15.1%
23 Benelli/H&K M4 Super 90 XM1014 976 27.5% 56.0% 16.5%
24 Galil 534 27.9% 55.4% 16.7%
25 H&K UMP45 270 24.8% 55.2% 20.0%


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 / 374858 * 100, 2) AS kpercent,
			ROUND(headshots / 140004 * 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