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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.36%
Members: 30 active members (73 total)
Avg. Member Points: 11,381
Total Kills: 363,004
Total Deaths: 294,853
Avg. Kills: 12,100
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 389d 16:05:12h
Avg. Connection Time: 12d 23:44:10h
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 sort-descending.gif Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.88% 31,203 2.20
2  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.56% 38,533 1.09
3  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.96% 16,883 1.93
4  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.87% 24,192 1.03
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.48% 15,929 1.48
6  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.49% 22,106 0.90
7  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.29% 12,150 1.58
8  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.83% 15,181 1.15
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.82% 13,411 1.03
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
12  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.17% 10,922 1.05
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.97% 5,572 1.93
14  Ukrainegusenica elorank 15,246 6d 12:23:27h 6,620 1.82% 5,191 1.28
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.63% 7,910 0.75
16  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.38% 11,872 0.42
17  Russian federationBISON elorank 7,929 7d 00:53:17h 4,634 1.28% 7,046 0.66
18  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.22% 4,998 0.89
19  Russian federation⇜Ṧ†êrvå⇝ elorank 9,025 6d 00:35:54h 4,374 1.20% 5,717 0.77
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 29,311 times 29,311
2 Pick up the Bomb 25,497 times 50,994
3 Round MVP 17,933 times 0
4 Drop the Bomb 13,649 times -27298
5 Double Kill (2 kills) 11,311 times 11,311
6 Plant the Bomb 5,766 times 57,660
7 Domination 3,674 times 18,370
8 Triple Kill (3 kills) 2,911 times 5,822
9 Revenge 1,722 times 5,166
10 Start Defusing the Bomb With a Defuse Kit 703 times 0
11 Domination (4 kills) 526 times 1,578
12 Defuse the Bomb 489 times 4,890
13 Rampage (5 kills) 60 times 240
14 Start Defusing the Bomb Without a Defuse Kit 58 times 0
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 2 times 10
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,790 times -13950
2 Revenge 2,161 times -6483




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,340 times 28.75%
2 Counter-Terrorist 2,352 times 20.25%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
3 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
4 FN Five-Seven 1.50 51 0.01% 25 0.02% 0.49
5 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
6 Steyr Tactical Machine Pistol 1.50 81 0.02% 42 0.03% 0.52
7 Steyr Aug 1.00 82 0.02% 38 0.03% 0.46
8 Galil 1.10 95 0.03% 41 0.03% 0.43
9 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
10 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
11 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
12 H&K USP .45 Tactical 1.40 145 0.04% 72 0.05% 0.50
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 834 0.23% 327 0.24% 0.39
15 Sig Sauer SG-552 Commando 1.00 1,049 0.29% 469 0.35% 0.45
16 Sig Sauer P-228 1.50 1,154 0.32% 460 0.34% 0.40
17 Bundeswehr Advanced Combat Knife 2.00 1,504 0.41% 2 0.00% 0.00
18 FN P90 1.20 1,622 0.45% 694 0.51% 0.43
19 M249 PARA Light Machine Gun 1.20 2,183 0.60% 1,125 0.83% 0.52
20 High Explosive Grenade 1.80 2,475 0.68% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 2,992 0.82% 478 0.35% 0.16
22 Desert Eagle .50AE 1.20 5,696 1.57% 2,945 2.18% 0.52
23 Steyr Scout 1.10 6,201 1.71% 3,665 2.71% 0.59
24 Colt M4A1 Carbine 1.00 11,750 3.24% 5,193 3.84% 0.44
25 Kalashnikov AK-47 1.00 23,240 6.40% 11,534 8.53% 0.50




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills 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 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
4 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
5 FN Five-Seven 1,232 326 8,382 34 63 21.0000 26.5% 25.7 19.6
6 Galil 2,963 391 12,802 41 95 47.5000 13.2% 32.7 31.2
7 Steyr Aug 2,939 412 12,442 38 82 16.4000 14.0% 30.2 35.8
8 Steyr Tactical Machine Pistol 4,068 635 11,490 42 81 81.0000 15.6% 18.1 50.2
9 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
10 H&K MP5-Navy 4,840 858 14,211 41 98 9.8000 17.7% 16.6 49.4
11 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
12 Glock 18 Select Fire 5,157 956 16,352 49 108 7.2000 18.5% 17.1 47.8
13 H&K USP .45 Tactical 5,305 959 20,101 71 144 7.2000 18.1% 21.0 36.8
14 Benelli/H&K M4 Super 90 XM1014 1,425 960 11,221 27 77 12.8333 67.4% 11.7 18.5
15 Bundeswehr Advanced Combat Knife 19,553 1,414 74,071 2 493 1.8059 7.2% 52.4 39.7
16 Arctic Warfare Magnum (Police) 12,300 4,269 574,088 485 3,000 5.4945 34.7% 134.5 4.1
17 Sig Sauer P-228 28,792 4,729 145,532 460 1,154 23.5510 16.4% 30.8 24.9
18 Sig Sauer SG-552 Commando 76,556 5,312 155,225 482 1,065 42.6000 6.9% 29.2 71.9
19 Benelli M3 Super 90 Combat 3,711 7,518 107,445 327 834 2.3626 202.6% 14.3 4.4
20 M249 PARA Light Machine Gun 104,697 8,382 329,491 1,239 2,332 14.8535 8.0% 39.3 44.9
21 FN P90 79,247 9,165 212,617 694 1,622 9.7126 11.6% 23.2 48.9
22 Steyr Scout 48,242 15,220 1,458,479 3,718 6,293 2.6643 31.5% 95.8 7.7
23 Desert Eagle .50AE 62,465 16,618 871,656 3,271 6,078 4.4172 26.6% 52.5 10.3
24 Colt M4A1 Carbine 419,109 52,034 1,645,632 5,201 11,761 11.0328 12.4% 31.6 35.6
25 Kalashnikov AK-47 672,384 85,722 3,435,706 12,852 24,906 9.7939 12.7% 40.1 27.0




  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 63 17.5% 76.2% 6.3%
4 Fusil Automatique 152 22.4% 61.2% 16.4%
5 H&K UMP45 279 26.2% 53.8% 20.1%
6 FN Five-Seven 326 21.2% 65.0% 13.8%
7 Galil 391 29.7% 53.7% 16.6%
8 Steyr Aug 412 27.7% 55.8% 16.5%
9 Steyr Tactical Machine Pistol 635 24.9% 65.0% 10.1%
10 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
11 H&K MP5-Navy 858 30.0% 55.8% 14.2%
12 Ingram MAC-10 908 26.7% 59.0% 14.3%
13 Glock 18 Select Fire 956 25.9% 61.3% 12.8%
14 H&K USP .45 Tactical 959 25.2% 61.6% 13.1%
15 Benelli/H&K M4 Super 90 XM1014 960 27.1% 55.9% 17.0%
16 Arctic Warfare Magnum (Police) 4,269 32.2% 58.4% 9.4%
17 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
18 Sig Sauer SG-552 Commando 5,312 28.6% 56.2% 15.2%
19 Benelli M3 Super 90 Combat 7,518 29.1% 57.8% 13.1%
20 M249 PARA Light Machine Gun 8,382 27.4% 58.9% 13.7%
21 FN P90 9,165 28.4% 56.1% 15.5%
22 Steyr Scout 15,195 26.5% 65.0% 8.5%
23 Desert Eagle .50AE 16,618 26.1% 61.4% 12.5%
24 Colt M4A1 Carbine 52,034 27.8% 59.0% 13.2%
25 Kalashnikov AK-47 85,722 26.8% 59.7% 13.5%


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 / 363004 * 100, 2) AS kpercent,
			ROUND(headshots / 135247 * 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