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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: 348,374
Total Deaths: 299,818
Avg. Kills: 12,013
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 20:22:17h
Avg. Connection Time: 13d 10:38:00h
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 19.83% 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 10,137 16d 01:10:46h 13,051 3.75% 12,656 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 sort-ascending.gif Achieved Points Bonus
1 Defuse the Bomb 485 times 4,850
2 Domination 3,267 times 16,335
3 Domination (4 kills) 441 times 1,323
4 Double Kill (2 kills) 10,570 times 10,570
5 Drop the Bomb 12,361 times -24722
6 Headshot 26,444 times 26,444
7 Kill a Hostage 18 times -270
8 Mega Kill (6 kills) 4 times 20
9 Pick up the Bomb 22,373 times 44,746
10 Plant the Bomb 4,643 times 46,430
11 Rampage (5 kills) 45 times 180
12 Rescue a Hostage 1 times 5
13 Revenge 1,648 times 4,944
14 Round MVP 16,572 times 0
15 Start Defusing the Bomb With a Defuse Kit 660 times 0
16 Start Defusing the Bomb Without a Defuse Kit 63 times 0
17 Touch a Hostage 4 times 0
18 Triple Kill (3 kills) 2,524 times 5,048




  Victims of Player-Player Actions *

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




  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 11,473 3.29% 5,201 3.94% 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 1,594 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-47 578,226 67,578 2,668,632 9,870 19,111 9.3681 11.7% 39.5 30.3
2 Colt M4A1 Carbine 393,775 50,599 1,610,283 5,198 11,470 11.3005 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 78,753 9,051 211,999 708 1,594 10.3506 11.5% 23.4 49.4
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 67,578 27.0% 59.1% 13.8%
2 Colt M4A1 Carbine 50,599 27.8% 59.1% 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 9,051 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 / 348374 * 100, 2) AS kpercent,
			ROUND(headshots / 132089 * 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