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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.31%
Members: 29 active members (75 total)
Avg. Member Points: 11,719
Total Kills: 349,074
Total Deaths: 300,541
Avg. Kills: 12,037
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 390d 13:47:10h
Avg. Connection Time: 13d 11:14:02h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
1  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.08% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,400 46d 23:30:31h 69,137 19.81% 31,477 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.14% 24,192 1.03
4  Russian federationLoony elorank 9,640 30d 13:29:04h 20,090 5.76% 22,285 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.63% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.73% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.03% 15,207 1.15
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.51% 12,180 1.58
9  Russian federationStanislav752 elorank 10,625 16d 07:49:13h 13,294 3.81% 12,962 1.03
10  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.65% 14,654 0.63
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.31% 10,412 1.11
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.97% 13,411 1.03
13  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
14  Russian federationBISON elorank 10,869 8d 23:27:29h 5,945 1.70% 8,870 0.67
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
16  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
18  Russian federationубивашка 62 elorank 17,452 6d 03:46:11h 7,369 2.11% 4,979 1.48
19  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 25,660 times 25,660
2 Pick up the Bomb 22,150 times 44,300
3 Round MVP 16,408 times 0
4 Drop the Bomb 12,393 times -24786
5 Double Kill (2 kills) 10,461 times 10,461
6 Plant the Bomb 4,461 times 44,610
7 Domination 3,198 times 15,990
8 Triple Kill (3 kills) 2,487 times 4,974
9 Revenge 1,641 times 4,923
10 Start Defusing the Bomb With a Defuse Kit 650 times 0
11 Defuse the Bomb 480 times 4,800
12 Domination (4 kills) 426 times 1,278
13 Start Defusing the Bomb Without a Defuse Kit 61 times 0
14 Rampage (5 kills) 44 times 176
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 1,872 times -5616
2 Domination 2,631 times -13155




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,035 times 27.97%
2 Counter-Terrorist 2,348 times 21.64%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,158 5.20% 9,251 6.99% 0.51
2 Colt M4A1 Carbine 1.00 11,435 3.28% 5,205 3.93% 0.46
3 Desert Eagle .50AE 1.20 6,437 1.84% 3,590 2.71% 0.56
4 Steyr Scout 1.10 5,908 1.69% 3,713 2.80% 0.63
5 High Explosive Grenade 1.80 2,453 0.70% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,333 0.67% 386 0.29% 0.17
7 M249 PARA Light Machine Gun 1.20 2,214 0.63% 1,062 0.80% 0.48
8 FN P90 1.20 1,616 0.46% 725 0.55% 0.45
9 Bundeswehr Advanced Combat Knife 2.00 1,616 0.46% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,273 0.36% 541 0.41% 0.42
11 Sig Sauer SG-552 Commando 1.00 962 0.28% 428 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 607 0.17% 264 0.20% 0.43
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 131 0.04% 69 0.05% 0.53
15 Galil 1.10 117 0.03% 47 0.04% 0.40
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
18 Glock 18 Select Fire 1.40 98 0.03% 45 0.03% 0.46
19 Steyr Aug 1.00 71 0.02% 35 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
23 Fusil Automatique 1.00 44 0.01% 20 0.02% 0.45
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 Kills per Death sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
2 Galil 3,354 489 16,087 47 117 58.5000 14.6% 32.9 28.7
3 Steyr Tactical Machine Pistol 3,274 447 7,866 26 54 54.0000 13.7% 17.6 60.6
4 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
5 Fusil Automatique 1,188 194 6,207 19 42 42.0000 16.3% 32.0 28.3
6 Sig Sauer SG-552 Commando 73,907 4,940 141,619 428 963 40.1250 6.7% 28.7 76.7
7 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
8 Sig Sauer P-228 34,223 5,406 165,773 541 1,273 22.7321 15.8% 30.7 26.9
9 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
10 Benelli/H&K M4 Super 90 XM1014 1,248 807 9,511 24 66 13.2000 64.7% 11.8 18.9
11 M249 PARA Light Machine Gun 116,112 8,463 313,097 1,063 2,215 12.3743 7.3% 37.0 52.4
12 Colt M4A1 Carbine 393,873 50,439 1,605,509 5,202 11,431 11.2843 12.8% 31.8 34.5
13 FN P90 79,157 9,128 214,549 725 1,616 10.4258 11.5% 23.5 49.0
14 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
15 Steyr Aug 2,820 390 11,516 36 72 10.2857 13.8% 29.5 39.2
16 H&K USP .45 Tactical 5,114 920 18,918 68 130 10.0000 18.0% 20.6 39.3
17 Kalashnikov AK-47 572,137 65,079 2,547,250 9,243 18,147 8.9837 11.4% 39.1 31.5
18 Glock 18 Select Fire 5,110 871 14,861 44 96 6.4000 17.0% 17.1 53.2
19 Arctic Warfare Magnum (Police) 9,724 3,367 450,295 386 2,332 4.9829 34.6% 133.7 4.2
20 Desert Eagle .50AE 70,112 17,986 931,925 3,587 6,433 4.2518 25.7% 51.8 10.9
21 Steyr Scout 47,658 14,262 1,357,253 3,706 5,902 2.3684 29.9% 95.2 8.1
22 Benelli M3 Super 90 Combat 2,807 5,617 81,222 264 607 2.0166 200.1% 14.5 4.6
23 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
24 Bundeswehr Advanced Combat Knife 11,698 1,117 57,991 2 385 1.6739 9.5% 51.9 30.4
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 65,079 27.3% 58.7% 13.9%
2 Colt M4A1 Carbine 50,439 27.8% 59.2% 13.1%
3 Desert Eagle .50AE 17,986 26.3% 61.5% 12.2%
4 Steyr Scout 14,237 26.5% 64.8% 8.7%
5 FN P90 9,128 27.9% 56.5% 15.7%
6 M249 PARA Light Machine Gun 8,463 28.6% 56.6% 14.8%
7 Benelli M3 Super 90 Combat 5,617 29.7% 57.5% 12.7%
8 Sig Sauer P-228 5,406 28.8% 57.6% 13.6%
9 Sig Sauer SG-552 Commando 4,940 29.0% 55.6% 15.3%
10 Arctic Warfare Magnum (Police) 3,367 32.7% 57.4% 9.9%
11 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
12 H&K USP .45 Tactical 920 25.0% 61.8% 13.2%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 Glock 18 Select Fire 871 26.6% 62.0% 11.4%
15 Benelli/H&K M4 Super 90 XM1014 807 27.3% 56.0% 16.7%
16 Ingram MAC-10 654 26.8% 58.9% 14.4%
17 Galil 489 28.8% 55.6% 15.5%
18 Steyr Tactical Machine Pistol 447 25.1% 63.8% 11.2%
19 Steyr Aug 390 27.9% 56.4% 15.6%
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 194 23.2% 62.9% 13.9%
23 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 349074 * 100, 2) AS kpercent,
			ROUND(headshots / 132419 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc