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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.64%
Members: 28 active members (73 total)
Avg. Member Points: 11,691
Total Kills: 368,897
Total Deaths: 307,271
Avg. Kills: 13,175
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 402d 15:04:15h
Avg. Connection Time: 14d 09:06:34h
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 33,787 46d 21:12:43h 69,011 18.71% 31,407 2.20
2  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.82% 16,883 1.93
3  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 11.42% 38,689 1.09
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.22% 12,180 1.58
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.76% 15,207 1.15
7  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.76% 24,192 1.03
8  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.40% 22,106 0.90
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.38% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.13% 10,412 1.11
11  Russian federationStanislav752 elorank 10,732 15d 11:54:32h 12,854 3.48% 12,202 1.05
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.92% 5,572 1.93
14  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.51% 14,654 0.63
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,371 6d 13:35:27h 4,746 1.29% 6,212 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.60% 7,910 0.75
17  Russian federationBISON elorank 10,010 7d 22:42:28h 5,230 1.42% 7,894 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,501 3d 16:45:37h 3,873 1.05% 3,361 1.15


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) 2 times 10
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 48 times 0
7 Defuse the Bomb 398 times 3,980
8 Domination (4 kills) 398 times 1,194
9 Start Defusing the Bomb With a Defuse Kit 598 times 0
10 Revenge 1,555 times 4,665
11 Triple Kill (3 kills) 2,287 times 4,574
12 Domination 2,962 times 14,810
13 Plant the Bomb 4,515 times 45,150
14 Double Kill (2 kills) 9,540 times 9,540
15 Drop the Bomb 12,297 times -24594
16 Round MVP 15,179 times 0
17 Pick up the Bomb 21,928 times 43,856
18 Headshot 23,854 times 23,854




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,507 times -12535
2 Revenge 1,719 times -5157




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,978 times 28.90%
2 Counter-Terrorist 2,082 times 20.21%




  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 23 0.01% 9 0.01% 0.39
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
5 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
6 Steyr Aug 1.00 70 0.02% 34 0.02% 0.49
7 Benelli/H&K M4 Super 90 XM1014 1.10 76 0.02% 27 0.02% 0.36
8 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
9 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
10 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
11 Galil 1.10 123 0.03% 53 0.04% 0.43
12 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 219 0.06% 100 0.07% 0.46
14 Benelli M3 Super 90 Combat 1.20 608 0.16% 253 0.18% 0.42
15 Sig Sauer SG-552 Commando 1.00 966 0.26% 433 0.32% 0.45
16 Sig Sauer P-228 1.50 1,265 0.34% 530 0.39% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,426 0.39% 2 0.00% 0.00
18 FN P90 1.20 1,499 0.41% 660 0.48% 0.44
19 High Explosive Grenade 1.80 2,015 0.55% 0 0.00% 0.00
20 M249 PARA Light Machine Gun 1.20 2,039 0.55% 1,003 0.73% 0.49
21 Arctic Warfare Magnum (Police) 1.00 2,157 0.58% 330 0.24% 0.15
22 Steyr Scout 1.10 5,059 1.37% 3,051 2.23% 0.60
23 Desert Eagle .50AE 1.20 5,162 1.40% 2,801 2.04% 0.54
24 Colt M4A1 Carbine 1.00 9,891 2.68% 4,364 3.18% 0.44
25 Kalashnikov AK-47 1.00 18,680 5.06% 9,367 6.83% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif 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 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
4 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
5 Steyr Tactical Machine Pistol 3,012 427 7,557 26 49 49.0000 14.2% 17.7 61.5
6 FN Five-Seven 1,210 319 8,515 29 58 29.0000 26.4% 26.7 20.9
7 Steyr Aug 2,653 361 10,931 35 71 17.7500 13.6% 30.3 37.4
8 Benelli/H&K M4 Super 90 XM1014 1,349 936 11,044 27 76 15.2000 69.4% 11.8 17.8
9 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
10 Glock 18 Select Fire 4,993 884 15,560 49 101 6.7333 17.7% 17.6 49.4
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Galil 3,649 523 17,323 53 123 61.5000 14.3% 33.1 29.7
13 H&K USP .45 Tactical 4,592 827 17,804 67 130 10.0000 18.0% 21.5 35.3
14 Dual Beretta 96G Elite 5,443 1,090 30,085 100 219 73.0000 20.0% 27.6 24.9
15 Bundeswehr Advanced Combat Knife 12,097 1,166 60,313 2 402 1.7034 9.6% 51.7 30.1
16 Benelli M3 Super 90 Combat 2,712 5,465 79,762 253 608 2.0403 201.5% 14.6 4.5
17 Sig Sauer SG-552 Commando 74,235 4,962 143,677 446 982 42.6957 6.7% 29.0 75.6
18 Sig Sauer P-228 33,269 5,178 160,423 530 1,265 23.4259 15.6% 31.0 26.3
19 FN P90 75,001 8,486 198,481 660 1,499 10.1973 11.3% 23.4 50.0
20 M249 PARA Light Machine Gun 107,663 7,866 298,216 1,055 2,097 12.7866 7.3% 37.9 51.3
21 Arctic Warfare Magnum (Police) 9,326 3,153 413,329 337 2,165 5.2043 33.8% 131.1 4.3
22 Steyr Scout 41,261 12,144 1,155,759 3,048 5,057 2.4765 29.4% 95.2 8.2
23 Desert Eagle .50AE 55,354 14,386 750,396 2,838 5,205 4.1540 26.0% 52.2 10.6
24 Colt M4A1 Carbine 376,113 44,478 1,398,342 4,365 9,895 10.7321 11.8% 31.4 38.0
25 Kalashnikov AK-47 578,376 67,605 2,673,234 9,796 19,210 9.6050 11.7% 39.5 30.1




  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 57 22.8% 70.2% 7.0%
4 Fusil Automatique 115 20.0% 64.3% 15.7%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 319 23.2% 61.8% 15.0%
7 Steyr Aug 361 27.7% 56.2% 16.1%
8 Steyr Tactical Machine Pistol 427 27.9% 62.5% 9.6%
9 Galil 523 28.5% 55.3% 16.3%
10 Ingram MAC-10 826 26.6% 59.0% 14.4%
11 H&K USP .45 Tactical 827 24.4% 62.5% 13.1%
12 H&K MP5-Navy 855 29.4% 56.3% 14.4%
13 Glock 18 Select Fire 884 26.1% 62.4% 11.4%
14 Benelli/H&K M4 Super 90 XM1014 936 27.1% 56.4% 16.5%
15 Dual Beretta 96G Elite 1,090 25.0% 61.3% 13.7%
16 Arctic Warfare Magnum (Police) 3,153 32.8% 57.4% 9.8%
17 Sig Sauer SG-552 Commando 4,962 28.9% 55.8% 15.3%
18 Sig Sauer P-228 5,178 28.8% 57.5% 13.7%
19 Benelli M3 Super 90 Combat 5,465 29.6% 57.6% 12.8%
20 M249 PARA Light Machine Gun 7,866 28.3% 57.3% 14.5%
21 FN P90 8,486 28.1% 56.3% 15.6%
22 Steyr Scout 12,119 26.5% 64.6% 8.8%
23 Desert Eagle .50AE 14,386 26.4% 61.0% 12.6%
24 Colt M4A1 Carbine 44,478 28.1% 58.6% 13.3%
25 Kalashnikov AK-47 67,605 27.2% 59.0% 13.8%


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 / 368897 * 100, 2) AS kpercent,
			ROUND(headshots / 137103 * 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