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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.88%
Members: 27 active members (75 total)
Avg. Member Points: 11,840
Total Kills: 307,585
Total Deaths: 264,423
Avg. Kills: 11,392
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 340d 02:19:22h
Avg. Connection Time: 12d 14:18:29h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 22.50% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.50% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.10% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,569 6d 12:06:16h 7,775 2.53% 5,309 1.46
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.76% 10,412 1.11
6  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 6.26% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.71% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.39% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.36% 3,648 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 1.01% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.71% 15,207 1.15
12  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.95% 8,932 0.67
13  Russian federationShalfeYka elorank 10,835 2d 20:29:04h 2,519 0.82% 2,555 0.99
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.52% 13,456 1.03
15  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,555 3d 22:07:29h 3,816 1.24% 3,940 0.97
16  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.95% 2,272 1.28
17  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.46% 5,055 0.89
18  Russian federationStanislav752 elorank 9,892 17d 02:20:48h 13,888 4.52% 13,560 1.02
19  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.55% 6,252 0.76
20  Russian federationSprut elorank 9,297 2d 07:23:43h 1,829 0.59% 2,359 0.78


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 11,202 times -22404
2 Kill a Hostage 18 times -270
3 Round MVP 14,606 times 0
4 Start Defusing the Bomb With a Defuse Kit 542 times 0
5 Start Defusing the Bomb Without a Defuse Kit 56 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 3 times 15
9 Rampage (5 kills) 41 times 164
10 Domination (4 kills) 369 times 1,107
11 Triple Kill (3 kills) 2,182 times 4,364
12 Revenge 1,477 times 4,431
13 Defuse the Bomb 452 times 4,520
14 Double Kill (2 kills) 9,247 times 9,247
15 Domination 2,790 times 13,950
16 Headshot 23,011 times 23,011
17 Plant the Bomb 3,562 times 35,620
18 Pick up the Bomb 19,405 times 38,810




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,329 times -11645
2 Revenge 1,649 times -4947




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,646 times 27.20%
2 Counter-Terrorist 2,168 times 22.28%




  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 H&K UMP45 1.20 28 0.01% 14 0.01% 0.50
3 Benelli/H&K M4 Super 90 XM1014 1.10 43 0.01% 15 0.01% 0.35
4 Fusil Automatique 1.00 47 0.02% 21 0.02% 0.45
5 H&K MP5-Navy 1.20 47 0.02% 20 0.02% 0.43
6 Steyr Tactical Machine Pistol 1.50 49 0.02% 22 0.02% 0.45
7 FN Five-Seven 1.50 60 0.02% 30 0.03% 0.50
8 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
9 Ingram MAC-10 1.50 66 0.02% 27 0.02% 0.41
10 Glock 18 Select Fire 1.40 82 0.03% 40 0.04% 0.49
11 Galil 1.10 111 0.04% 45 0.04% 0.41
12 H&K USP .45 Tactical 1.40 122 0.04% 65 0.06% 0.53
13 Dual Beretta 96G Elite 1.40 204 0.07% 96 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 516 0.17% 225 0.20% 0.44
15 Sig Sauer SG-552 Commando 1.00 802 0.26% 349 0.31% 0.44
16 Sig Sauer P-228 1.50 1,301 0.42% 558 0.49% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,483 0.48% 2 0.00% 0.00
18 FN P90 1.20 1,722 0.56% 759 0.66% 0.44
19 Arctic Warfare Magnum (Police) 1.00 2,025 0.66% 344 0.30% 0.17
20 High Explosive Grenade 1.80 2,154 0.70% 0 0.00% 0.00
21 M249 PARA Light Machine Gun 1.20 2,209 0.72% 1,049 0.92% 0.47
22 Steyr Scout 1.10 5,422 1.76% 3,401 2.98% 0.63
23 Desert Eagle .50AE 1.20 5,890 1.91% 3,373 2.95% 0.57
24 Colt M4A1 Carbine 1.00 10,221 3.32% 4,699 4.11% 0.46
25 Kalashnikov AK-47 1.00 15,050 4.89% 7,840 6.86% 0.52




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill sort-ascending.gif
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 Arctic Warfare Magnum (Police) 8,614 2,934 393,321 344 2,026 4.9175 34.1% 134.1 4.3
3 Benelli M3 Super 90 Combat 2,474 4,912 70,788 225 516 1.8363 198.5% 14.4 4.8
4 Steyr Scout 44,790 13,260 1,243,032 3,394 5,416 2.2427 29.6% 93.7 8.3
5 Desert Eagle .50AE 64,132 16,336 855,921 3,370 5,886 4.1334 25.5% 52.4 10.9
6 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
7 Benelli/H&K M4 Super 90 XM1014 861 546 6,337 15 43 8.6000 63.4% 11.6 20.0
8 FN Five-Seven 1,344 335 8,987 31 61 30.5000 24.9% 26.8 22.0
9 Dual Beretta 96G Elite 5,155 1,015 28,387 96 204 102.0000 19.7% 28.0 25.3
10 Bundeswehr Advanced Combat Knife 9,229 1,029 54,846 2 363 1.6351 11.1% 53.3 25.4
11 Fusil Automatique 1,149 195 6,161 20 45 45.0000 17.0% 31.6 25.5
12 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
13 Sig Sauer P-228 35,261 5,571 170,408 558 1,301 20.9839 15.8% 30.6 27.1
14 Kalashnikov AK-47 507,196 54,284 2,121,688 7,832 15,040 8.7799 10.7% 39.1 33.7
15 Colt M4A1 Carbine 354,877 45,073 1,434,515 4,696 10,218 11.8814 12.7% 31.8 34.7
16 Ingram MAC-10 2,377 425 7,582 26 63 63.0000 17.9% 17.8 37.7
17 H&K USP .45 Tactical 4,687 882 17,886 64 121 9.3077 18.8% 20.3 38.7
18 Steyr Aug 2,616 355 10,736 33 67 8.3750 13.6% 30.2 39.0
19 FN P90 82,227 9,729 226,811 759 1,722 11.1097 11.8% 23.3 47.8
20 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
21 M249 PARA Light Machine Gun 112,928 8,404 309,542 1,050 2,210 12.9240 7.4% 36.8 51.1
22 Glock 18 Select Fire 4,719 756 12,822 39 80 5.3333 16.0% 17.0 59.0
23 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
24 H&K UMP45 1,856 222 4,509 14 27 13.5000 12.0% 20.3 68.7
25 Sig Sauer SG-552 Commando 60,302 4,057 117,397 349 803 34.9130 6.7% 28.9 75.1




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 52 25.0% 69.2% 5.8%
4 Fusil Automatique 195 23.1% 63.6% 13.3%
5 H&K UMP45 222 24.3% 54.1% 21.6%
6 FN Five-Seven 335 23.9% 61.8% 14.3%
7 Steyr Aug 355 27.9% 56.6% 15.5%
8 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
9 Ingram MAC-10 425 25.9% 60.7% 13.4%
10 Galil 452 27.2% 58.2% 14.6%
11 H&K MP5-Navy 476 27.9% 56.7% 15.3%
12 Benelli/H&K M4 Super 90 XM1014 546 29.5% 52.9% 17.6%
13 Glock 18 Select Fire 756 26.2% 62.6% 11.2%
14 H&K USP .45 Tactical 882 25.6% 61.3% 13.0%
15 Dual Beretta 96G Elite 1,015 25.0% 61.2% 13.8%
16 Arctic Warfare Magnum (Police) 2,934 33.0% 57.0% 10.0%
17 Sig Sauer SG-552 Commando 4,057 29.5% 55.7% 14.8%
18 Benelli M3 Super 90 Combat 4,912 29.6% 57.4% 13.0%
19 Sig Sauer P-228 5,571 28.8% 57.5% 13.7%
20 M249 PARA Light Machine Gun 8,404 28.3% 56.7% 15.0%
21 FN P90 9,729 28.2% 56.0% 15.8%
22 Steyr Scout 13,235 26.7% 64.4% 8.9%
23 Desert Eagle .50AE 16,336 26.2% 61.8% 12.0%
24 Colt M4A1 Carbine 45,073 27.9% 59.1% 13.1%
25 Kalashnikov AK-47 54,284 27.2% 58.8% 14.0%


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 / 307585 * 100, 2) AS kpercent,
			ROUND(headshots / 114275 * 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