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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.41%
Members: 29 active members (75 total)
Avg. Member Points: 11,675
Total Kills: 348,364
Total Deaths: 299,804
Avg. Kills: 12,013
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 20:01:09h
Avg. Connection Time: 13d 10:37:16h
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 13,115 50d 00:51:06h 42,157 12.10% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,656 46d 22:33:01h 69,099 19.84% 31,444 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.15% 24,192 1.03
4  Russian federationLoony elorank 9,640 30d 13:29:04h 20,090 5.77% 22,285 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.75% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.04% 15,207 1.15
8  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.65% 14,654 0.63
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
10  Russian federationStanislav752 elorank 10,182 16d 01:00:38h 13,051 3.75% 12,650 1.03
11  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
14  Russian federationBISON elorank 10,585 8d 21:41:15h 5,892 1.69% 8,798 0.67
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
17  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
18  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.29% 5,052 0.89
19  Russian federationубивашка 62 elorank 17,365 6d 00:28:35h 7,213 2.07% 4,843 1.49
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 45 times 180
6 Start Defusing the Bomb Without a Defuse Kit 63 times 0
7 Domination (4 kills) 441 times 1,323
8 Defuse the Bomb 485 times 4,850
9 Start Defusing the Bomb With a Defuse Kit 660 times 0
10 Revenge 1,647 times 4,941
11 Triple Kill (3 kills) 2,524 times 5,048
12 Domination 3,267 times 16,335
13 Plant the Bomb 4,643 times 46,430
14 Double Kill (2 kills) 10,566 times 10,566
15 Drop the Bomb 12,359 times -24718
16 Round MVP 16,569 times 0
17 Pick up the Bomb 22,371 times 44,742
18 Headshot 26,440 times 26,440




  Victims of Player-Player Actions *

Rank Action sort-ascending.gif Times Victimized Points Bonus
1 Domination 2,646 times -13230
2 Revenge 1,905 times -5715




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,076 times 28.10%
2 Counter-Terrorist 2,350 times 21.47%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,582 5.33% 9,442 7.15% 0.51
2 Colt M4A1 Carbine 1.00 11,465 3.29% 5,197 3.93% 0.45
3 Desert Eagle .50AE 1.20 6,476 1.86% 3,615 2.74% 0.56
4 Steyr Scout 1.10 5,952 1.71% 3,751 2.84% 0.63
5 High Explosive Grenade 1.80 2,496 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,382 0.68% 395 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,234 0.64% 1,071 0.81% 0.48
8 FN P90 1.20 1,592 0.46% 708 0.54% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,591 0.46% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,219 0.35% 516 0.39% 0.42
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 624 0.18% 264 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 132 0.04% 69 0.05% 0.52
15 Galil 1.10 118 0.03% 48 0.04% 0.41
16 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
17 Glock 18 Select Fire 1.40 101 0.03% 48 0.04% 0.48
18 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
19 Steyr Aug 1.00 72 0.02% 35 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 70 0.02% 27 0.02% 0.39
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 56 0.02% 27 0.02% 0.48
23 Fusil Automatique 1.00 46 0.01% 22 0.02% 0.48
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 577,989 67,575 2,668,571 9,870 19,111 9.3727 11.7% 39.5 30.2
2 Colt M4A1 Carbine 393,658 50,569 1,609,278 5,194 11,462 11.2926 12.8% 31.8 34.3
3 Desert Eagle .50AE 70,669 18,173 944,328 3,649 6,516 4.3238 25.7% 52.0 10.8
4 Steyr Scout 47,733 14,340 1,368,317 3,744 5,946 2.3908 30.0% 95.4 8.0
5 Arctic Warfare Magnum (Police) 9,920 3,441 462,546 402 2,390 5.0316 34.7% 134.4 4.2
6 M249 PARA Light Machine Gun 116,672 8,646 323,270 1,123 2,292 12.0632 7.4% 37.4 50.9
7 FN P90 78,726 9,045 211,849 708 1,592 10.3377 11.5% 23.4 49.5
8 Sig Sauer P-228 33,151 5,143 157,945 516 1,219 22.5741 15.5% 30.7 27.2
9 Sig Sauer SG-552 Commando 73,875 4,950 143,417 440 977 39.0800 6.7% 29.0 75.6
10 Benelli M3 Super 90 Combat 2,845 5,741 82,623 264 624 2.1153 201.8% 14.4 4.6
11 Bundeswehr Advanced Combat Knife 11,695 1,107 57,312 2 380 1.6740 9.5% 51.8 30.8
12 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
13 H&K USP .45 Tactical 5,153 925 19,003 68 131 10.0769 18.0% 20.5 39.3
14 Galil 3,386 494 16,349 48 118 59.0000 14.6% 33.1 28.7
15 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
16 Glock 18 Select Fire 5,218 885 15,264 47 99 6.6000 17.0% 17.2 52.7
17 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
18 Steyr Aug 2,890 394 11,601 36 73 10.4286 13.6% 29.4 39.6
19 Benelli/H&K M4 Super 90 XM1014 1,280 846 10,017 27 70 14.0000 66.1% 11.8 18.3
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 3,305 452 8,063 26 55 55.0000 13.7% 17.8 60.1
22 Fusil Automatique 1,147 203 6,429 21 44 44.0000 17.7% 31.7 26.1
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
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 67,575 27.0% 59.1% 13.8%
2 Colt M4A1 Carbine 50,569 27.8% 59.2% 13.1%
3 Desert Eagle .50AE 18,173 26.2% 61.6% 12.2%
4 Steyr Scout 14,315 26.5% 64.8% 8.7%
5 FN P90 9,045 27.9% 56.3% 15.7%
6 M249 PARA Light Machine Gun 8,646 28.3% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,741 29.7% 57.5% 12.8%
8 Sig Sauer P-228 5,143 28.8% 57.6% 13.6%
9 Sig Sauer SG-552 Commando 4,950 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,441 32.5% 57.5% 9.9%
11 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
12 H&K USP .45 Tactical 925 24.8% 62.3% 13.0%
13 H&K MP5-Navy 900 28.4% 56.8% 14.8%
14 Glock 18 Select Fire 885 26.4% 62.0% 11.5%
15 Benelli/H&K M4 Super 90 XM1014 846 26.5% 57.1% 16.4%
16 Ingram MAC-10 654 26.8% 58.9% 14.4%
17 Galil 494 28.9% 55.7% 15.4%
18 Steyr Tactical Machine Pistol 452 25.4% 63.3% 11.3%
19 Steyr Aug 394 27.7% 56.9% 15.5%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 203 22.7% 64.0% 13.3%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
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 / 348364 * 100, 2) AS kpercent,
			ROUND(headshots / 132085 * 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